diff --git a/docs/_posts/ahmedlone127/2024-09-07-somd_xlm_stage1_v2_en.md b/docs/_posts/ahmedlone127/2024-09-07-somd_xlm_stage1_v2_en.md
new file mode 100644
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@@ -0,0 +1,94 @@
+---
+layout: model
+title: English somd_xlm_stage1_v2 XlmRoBertaForTokenClassification from ThuyNT03
+author: John Snow Labs
+name: somd_xlm_stage1_v2
+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.`somd_xlm_stage1_v2` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/somd_xlm_stage1_v2_en_5.5.0_3.0_1725687603645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/somd_xlm_stage1_v2_en_5.5.0_3.0_1725687603645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|somd_xlm_stage1_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|797.6 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/SOMD-xlm-stage1-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-cot_ep3_42_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-cot_ep3_42_pipeline_en.md
new file mode 100644
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@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cot_ep3_42_pipeline pipeline MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: cot_ep3_42_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.`cot_ep3_42_pipeline` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cot_ep3_42_pipeline_en_5.5.0_3.0_1725897373617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cot_ep3_42_pipeline_en_5.5.0_3.0_1725897373617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cot_ep3_42_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cot_ep3_42_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cot_ep3_42_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ingeol/cot_ep3_42
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-action_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-action_pipeline_en.md
new file mode 100644
index 00000000000000..72a3fe7b854680
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-action_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English action_pipeline pipeline DistilBertForSequenceClassification from SergeyTW
+author: John Snow Labs
+name: action_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.`action_pipeline` is a English model originally trained by SergeyTW.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/action_pipeline_en_5.5.0_3.0_1726014444476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/action_pipeline_en_5.5.0_3.0_1726014444476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("action_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("action_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|action_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SergeyTW/action
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-finetuned_mixed_2epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-finetuned_mixed_2epochs_pipeline_en.md
new file mode 100644
index 00000000000000..175783c6cff77c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-finetuned_mixed_2epochs_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English finetuned_mixed_2epochs_pipeline pipeline MPNetEmbeddings from jhsmith
+author: John Snow Labs
+name: finetuned_mixed_2epochs_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.`finetuned_mixed_2epochs_pipeline` is a English model originally trained by jhsmith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_mixed_2epochs_pipeline_en_5.5.0_3.0_1726054541841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_mixed_2epochs_pipeline_en_5.5.0_3.0_1726054541841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_mixed_2epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_mixed_2epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_mixed_2epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/jhsmith/finetuned_mixed_2epochs
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-uned_tfg_08_77_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-uned_tfg_08_77_pipeline_en.md
new file mode 100644
index 00000000000000..9f9400dd5c2eb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-uned_tfg_08_77_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English uned_tfg_08_77_pipeline pipeline RoBertaForSequenceClassification from alexisdr
+author: John Snow Labs
+name: uned_tfg_08_77_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.`uned_tfg_08_77_pipeline` is a English model originally trained by alexisdr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uned_tfg_08_77_pipeline_en_5.5.0_3.0_1726090867835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uned_tfg_08_77_pipeline_en_5.5.0_3.0_1726090867835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("uned_tfg_08_77_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("uned_tfg_08_77_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uned_tfg_08_77_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|443.8 MB|
+
+## References
+
+https://huggingface.co/alexisdr/uned-tfg-08.77
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-akan_3_3000ms_pipeline_ak.md b/docs/_posts/ahmedlone127/2024-09-12-akan_3_3000ms_pipeline_ak.md
new file mode 100644
index 00000000000000..0e5a2d0a865b57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-akan_3_3000ms_pipeline_ak.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Akan akan_3_3000ms_pipeline pipeline WhisperForCTC from devkyle
+author: John Snow Labs
+name: akan_3_3000ms_pipeline
+date: 2024-09-12
+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_3_3000ms_pipeline` is a Akan model originally trained by devkyle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/akan_3_3000ms_pipeline_ak_5.5.0_3.0_1726151442866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/akan_3_3000ms_pipeline_ak_5.5.0_3.0_1726151442866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("akan_3_3000ms_pipeline", lang = "ak")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("akan_3_3000ms_pipeline", lang = "ak")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|akan_3_3000ms_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-3-3000ms
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_jnrahul92_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_jnrahul92_pipeline_en.md
new file mode 100644
index 00000000000000..a3f9b59adba16c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_jnrahul92_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_jnrahul92_pipeline pipeline XlmRoBertaForTokenClassification from jnrahul92
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_jnrahul92_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_jnrahul92_pipeline` is a English model originally trained by jnrahul92.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_jnrahul92_pipeline_en_5.5.0_3.0_1726115403155.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_jnrahul92_pipeline_en_5.5.0_3.0_1726115403155.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_jnrahul92_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_jnrahul92_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_jnrahul92_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/jnrahul92/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-arwiki_20230101_roberta_mlm_bots_ar.md b/docs/_posts/ahmedlone127/2024-09-14-arwiki_20230101_roberta_mlm_bots_ar.md
new file mode 100644
index 00000000000000..3531139f63f8e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-arwiki_20230101_roberta_mlm_bots_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic arwiki_20230101_roberta_mlm_bots RoBertaEmbeddings from SaiedAlshahrani
+author: John Snow Labs
+name: arwiki_20230101_roberta_mlm_bots
+date: 2024-09-14
+tags: [ar, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arwiki_20230101_roberta_mlm_bots` 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_ar_5.5.0_3.0_1726338709197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arwiki_20230101_roberta_mlm_bots_ar_5.5.0_3.0_1726338709197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arwiki_20230101_roberta_mlm_bots|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|ar|
+|Size:|311.7 MB|
+
+## References
+
+https://huggingface.co/SaiedAlshahrani/arwiki_20230101_roberta_mlm_bots
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-prompt_injection_bert_en.md b/docs/_posts/ahmedlone127/2024-09-15-prompt_injection_bert_en.md
new file mode 100644
index 00000000000000..31911ea623eef6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-prompt_injection_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English prompt_injection_bert DistilBertForSequenceClassification from yashika-03
+author: John Snow Labs
+name: prompt_injection_bert
+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.`prompt_injection_bert` is a English model originally trained by yashika-03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prompt_injection_bert_en_5.5.0_3.0_1726365714562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prompt_injection_bert_en_5.5.0_3.0_1726365714562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prompt_injection_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yashika-03/prompt-injection-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-test_model_jockerli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-test_model_jockerli_pipeline_en.md
new file mode 100644
index 00000000000000..c27fa99ba730b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-test_model_jockerli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_model_jockerli_pipeline pipeline DistilBertForSequenceClassification from JockerLi
+author: John Snow Labs
+name: test_model_jockerli_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.`test_model_jockerli_pipeline` is a English model originally trained by JockerLi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_jockerli_pipeline_en_5.5.0_3.0_1726365842783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_jockerli_pipeline_en_5.5.0_3.0_1726365842783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_model_jockerli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_model_jockerli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_jockerli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JockerLi/test_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_hindi_kshitizkhandelwal_tr.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_hindi_kshitizkhandelwal_tr.md
new file mode 100644
index 00000000000000..479c03d6f29d94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_hindi_kshitizkhandelwal_tr.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Turkish whisper_small_hindi_kshitizkhandelwal WhisperForCTC from Kshitizkhandelwal
+author: John Snow Labs
+name: whisper_small_hindi_kshitizkhandelwal
+date: 2024-09-15
+tags: [tr, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hindi_kshitizkhandelwal` is a Turkish model originally trained by Kshitizkhandelwal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_kshitizkhandelwal_tr_5.5.0_3.0_1726430520772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_kshitizkhandelwal_tr_5.5.0_3.0_1726430520772.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_kshitizkhandelwal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|tr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Kshitizkhandelwal/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_imdb_jjin6668_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_imdb_jjin6668_en.md
new file mode 100644
index 00000000000000..2ccb23579d110c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_imdb_jjin6668_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_jjin6668 DistilBertEmbeddings from jjin6668
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_jjin6668
+date: 2024-09-16
+tags: [en, open_source, onnx, embeddings, distilbert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_jjin6668` is a English model originally trained by jjin6668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jjin6668_en_5.5.0_3.0_1726472994936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jjin6668_en_5.5.0_3.0_1726472994936.zip){:.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_jjin6668|
+|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/jjin6668/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_pipeline_en.md
new file mode 100644
index 00000000000000..65b166111363c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_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_utility_zphr_0st_ut12ut1_plain_simsp_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_pipeline_en_5.5.0_3.0_1726506626056.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_pipeline_en_5.5.0_3.0_1726506626056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_utility_zphr_0st_ut12ut1_plain_simsp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-finetuning_sentiment_model_3000_samples_sarathaer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-finetuning_sentiment_model_3000_samples_sarathaer_pipeline_en.md
new file mode 100644
index 00000000000000..bcdd4a0ac837f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-finetuning_sentiment_model_3000_samples_sarathaer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_sarathaer_pipeline pipeline DistilBertForSequenceClassification from Sarathaer
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_sarathaer_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.`finetuning_sentiment_model_3000_samples_sarathaer_pipeline` is a English model originally trained by Sarathaer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sarathaer_pipeline_en_5.5.0_3.0_1726525637389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sarathaer_pipeline_en_5.5.0_3.0_1726525637389.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_sarathaer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_sarathaer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_sarathaer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sarathaer/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ 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_achuka_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_en.md
new file mode 100644
index 00000000000000..42826c30ab4cc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka MarianTransformer from Achuka
+author: John Snow Labs
+name: opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka` is a English model originally trained by Achuka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka_en_5.5.0_3.0_1726457640414.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_achuka_en_5.5.0_3.0_1726457640414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_achuka|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|513.2 MB|
+
+## References
+
+https://huggingface.co/Achuka/opus-mt-en-lg-finetuned-en-to-lg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_smarthome_thai_pipeline_th.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_smarthome_thai_pipeline_th.md
new file mode 100644
index 00000000000000..a1e0cad8b85cbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_smarthome_thai_pipeline_th.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Thai whisper_tiny_smarthome_thai_pipeline pipeline WhisperForCTC from Porameht
+author: John Snow Labs
+name: whisper_tiny_smarthome_thai_pipeline
+date: 2024-09-16
+tags: [th, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: th
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_smarthome_thai_pipeline` is a Thai model originally trained by Porameht.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_smarthome_thai_pipeline_th_5.5.0_3.0_1726480512876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_smarthome_thai_pipeline_th_5.5.0_3.0_1726480512876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_smarthome_thai_pipeline", lang = "th")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_smarthome_thai_pipeline", lang = "th")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_smarthome_thai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|th|
+|Size:|389.8 MB|
+
+## References
+
+https://huggingface.co/Porameht/whisper-tiny-smarthome-thai
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_ryatora_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_ryatora_pipeline_en.md
new file mode 100644
index 00000000000000..bd525451403cb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_ryatora_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_ryatora_pipeline pipeline XlmRoBertaForTokenClassification from ryatora
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_ryatora_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_ryatora_pipeline` is a English model originally trained by ryatora.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_ryatora_pipeline_en_5.5.0_3.0_1726497048057.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_ryatora_pipeline_en_5.5.0_3.0_1726497048057.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_ryatora_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_ryatora_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_ryatora_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/ryatora/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_en.md b/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_en.md
new file mode 100644
index 00000000000000..bb85681a762b73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_symptemist_word2vec_8_ner RoBertaForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_symptemist_word2vec_8_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.`bsc_bio_ehr_spanish_symptemist_word2vec_8_ner` is a English model originally trained by Rodrigo1771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_en_5.5.0_3.0_1726538122376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_symptemist_word2vec_8_ner_en_5.5.0_3.0_1726538122376.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_adalee1001|
+|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/Adalee1001/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_text_classification_yu_en_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_text_classification_yu_en_pipeline_en.md
new file mode 100644
index 00000000000000..942ff8d2a3d88f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_text_classification_yu_en_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_text_classification_yu_en_pipeline pipeline DistilBertForSequenceClassification from Yu-En
+author: John Snow Labs
+name: burmese_awesome_text_classification_yu_en_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_text_classification_yu_en_pipeline` is a English model originally trained by Yu-En.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_yu_en_pipeline_en_5.5.0_3.0_1726594286389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_yu_en_pipeline_en_5.5.0_3.0_1726594286389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_text_classification_yu_en_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_text_classification_yu_en_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_text_classification_yu_en_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Yu-En/my-awesome-text-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-tmp_trainer_dstaples08_en.md b/docs/_posts/ahmedlone127/2024-09-17-tmp_trainer_dstaples08_en.md
new file mode 100644
index 00000000000000..d13801461699fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-tmp_trainer_dstaples08_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tmp_trainer_dstaples08 DistilBertForSequenceClassification from dstaples08
+author: John Snow Labs
+name: tmp_trainer_dstaples08
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tmp_trainer_dstaples08` is a English model originally trained by dstaples08.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp_trainer_dstaples08_en_5.5.0_3.0_1726593658439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp_trainer_dstaples08_en_5.5.0_3.0_1726593658439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_turkish_muhtasham|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|tr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/muhtasham/whisper-small-tr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds14_fitrahgiffari63_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds14_fitrahgiffari63_pipeline_en.md
new file mode 100644
index 00000000000000..27d7946d8c3e4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds14_fitrahgiffari63_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds14_fitrahgiffari63_pipeline pipeline WhisperForCTC from fitrahgiffari63
+author: John Snow Labs
+name: whisper_tiny_minds14_fitrahgiffari63_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_fitrahgiffari63_pipeline` is a English model originally trained by fitrahgiffari63.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_fitrahgiffari63_pipeline_en_5.5.0_3.0_1726550325528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_fitrahgiffari63_pipeline_en_5.5.0_3.0_1726550325528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds14_fitrahgiffari63_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds14_fitrahgiffari63_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_fitrahgiffari63_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/fitrahgiffari63/whisper-tiny-minds14
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_m_help_seller_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_m_help_seller_pipeline_en.md
new file mode 100644
index 00000000000000..85efbd3244041a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-distilbert_base_uncased_finetuned_m_help_seller_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_m_help_seller_pipeline pipeline DistilBertForSequenceClassification from Gregorig
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_m_help_seller_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_m_help_seller_pipeline` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_m_help_seller_pipeline_en_5.5.0_3.0_1726680729383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_m_help_seller_pipeline_en_5.5.0_3.0_1726680729383.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_m_help_seller_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_m_help_seller_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_m_help_seller_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Gregorig/distilbert-base-uncased-finetuned-m_help_seller
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-finetuning_distilbert_sentiment_model_en.md b/docs/_posts/ahmedlone127/2024-09-18-finetuning_distilbert_sentiment_model_en.md
new file mode 100644
index 00000000000000..8ae2601f37c21a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-finetuning_distilbert_sentiment_model_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English finetuning_distilbert_sentiment_model DistilBertForSequenceClassification from Annamaziarz1
+author: John Snow Labs
+name: finetuning_distilbert_sentiment_model
+date: 2024-09-18
+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.`finetuning_distilbert_sentiment_model` is a English model originally trained by Annamaziarz1.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_sentiment_model_en_5.5.0_3.0_1726681688720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_sentiment_model_en_5.5.0_3.0_1726681688720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_distilbert_sentiment_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+References
+
+https://huggingface.co/Annamaziarz1/finetuning-distilbert-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-kltn_csi_xlm_en.md b/docs/_posts/ahmedlone127/2024-09-18-kltn_csi_xlm_en.md
new file mode 100644
index 00000000000000..8f56fe1f5dab25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-kltn_csi_xlm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English kltn_csi_xlm XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: kltn_csi_xlm
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kltn_csi_xlm` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kltn_csi_xlm_en_5.5.0_3.0_1726697854561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kltn_csi_xlm_en_5.5.0_3.0_1726697854561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_mlp_scirepeval_chemistry_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-uncased-MLP-scirepeval-chemistry-LARGE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-sent_esmlmt60_10000_en.md b/docs/_posts/ahmedlone127/2024-09-18-sent_esmlmt60_10000_en.md
new file mode 100644
index 00000000000000..d118e842b152af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-sent_esmlmt60_10000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_esmlmt60_10000 BertSentenceEmbeddings from hjkim811
+author: John Snow Labs
+name: sent_esmlmt60_10000
+date: 2024-09-18
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_esmlmt60_10000` is a English model originally trained by hjkim811.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_esmlmt60_10000_en_5.5.0_3.0_1726675877631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_esmlmt60_10000_en_5.5.0_3.0_1726675877631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_esmlmt60_10000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/hjkim811/esmlmt60-10000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-text_mining_project_distil_bert_en.md b/docs/_posts/ahmedlone127/2024-09-18-text_mining_project_distil_bert_en.md
new file mode 100644
index 00000000000000..c044ff2a8610ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-text_mining_project_distil_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_mining_project_distil_bert DistilBertForSequenceClassification from algmarques
+author: John Snow Labs
+name: text_mining_project_distil_bert
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_mining_project_distil_bert` is a English model originally trained by algmarques.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_mining_project_distil_bert_en_5.5.0_3.0_1726631042499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_mining_project_distil_bert_en_5.5.0_3.0_1726631042499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_mining_project_distil_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/algmarques/text_mining_project_distil_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-transient_data_en.md b/docs/_posts/ahmedlone127/2024-09-18-transient_data_en.md
new file mode 100644
index 00000000000000..bab36a286faa0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-transient_data_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English transient_data DistilBertForSequenceClassification from Jingni
+author: John Snow Labs
+name: transient_data
+date: 2024-09-18
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transient_data` is a English model originally trained by Jingni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transient_data_en_5.5.0_3.0_1726670083176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transient_data_en_5.5.0_3.0_1726670083176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transient_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/Jingni/transient_data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline_en.md
new file mode 100644
index 00000000000000..22450deb54e7bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline pipeline XlmRoBertaForTokenClassification from km0228kr
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline
+date: 2024-09-18
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline` is a English model originally trained by km0228kr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline_en_5.5.0_3.0_1726635325693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline_en_5.5.0_3.0_1726635325693.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_km0228kr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_km0228kr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/km0228kr/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_taoyoung_en.md b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_taoyoung_en.md
new file mode 100644
index 00000000000000..a197d8337ad1d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-18-xlm_roberta_base_finetuned_panx_italian_taoyoung_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_taoyoung XlmRoBertaForTokenClassification from taoyoung
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_taoyoung
+date: 2024-09-18
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_taoyoung` is a English model originally trained by taoyoung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_taoyoung_en_5.5.0_3.0_1726656653715.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_taoyoung_en_5.5.0_3.0_1726656653715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|japanese_fine_tuned_whisper_model_nikolajvestergaard|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ja|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/Nikolajvestergaard/Japanese_Fine_Tuned_Whisper_Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_large_e2_noweight_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_e2_noweight_pipeline_en.md
new file mode 100644
index 00000000000000..998bff67b1489f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_large_e2_noweight_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_e2_noweight_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: roberta_large_e2_noweight_pipeline
+date: 2024-09-19
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_e2_noweight_pipeline` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_e2_noweight_pipeline_en_5.5.0_3.0_1726733830029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_e2_noweight_pipeline_en_5.5.0_3.0_1726733830029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_e2_noweight_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_e2_noweight_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_e2_noweight_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/roberta-large-e2-noweight
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-19-roberta_untrained_2eps_seed408_en.md b/docs/_posts/ahmedlone127/2024-09-19-roberta_untrained_2eps_seed408_en.md
new file mode 100644
index 00000000000000..88df1b9bb161e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-19-roberta_untrained_2eps_seed408_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_untrained_2eps_seed408 RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_untrained_2eps_seed408
+date: 2024-09-19
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_untrained_2eps_seed408` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_untrained_2eps_seed408_en_5.5.0_3.0_1726725772348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_untrained_2eps_seed408_en_5.5.0_3.0_1726725772348.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_v3|
+|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/sam-alavardo-1980/whisper-small-ru-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-absa_restaurant_froberta_base_v2_en.md b/docs/_posts/ahmedlone127/2024-09-20-absa_restaurant_froberta_base_v2_en.md
new file mode 100644
index 00000000000000..6aeb08c9bd9c21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-absa_restaurant_froberta_base_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English absa_restaurant_froberta_base_v2 RoBertaEmbeddings from AliAhmad001
+author: John Snow Labs
+name: absa_restaurant_froberta_base_v2
+date: 2024-09-20
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`absa_restaurant_froberta_base_v2` is a English model originally trained by AliAhmad001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/absa_restaurant_froberta_base_v2_en_5.5.0_3.0_1726857784982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/absa_restaurant_froberta_base_v2_en_5.5.0_3.0_1726857784982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|absa_restaurant_froberta_base_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/AliAhmad001/absa-restaurant-froberta-base-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-augmented_model_fast_2_c_norwegian_copula_norwegian_time_en.md b/docs/_posts/ahmedlone127/2024-09-20-augmented_model_fast_2_c_norwegian_copula_norwegian_time_en.md
new file mode 100644
index 00000000000000..177b81211b02da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-augmented_model_fast_2_c_norwegian_copula_norwegian_time_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English augmented_model_fast_2_c_norwegian_copula_norwegian_time DistilBertForSequenceClassification from LeonardoFettucciari
+author: John Snow Labs
+name: augmented_model_fast_2_c_norwegian_copula_norwegian_time
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`augmented_model_fast_2_c_norwegian_copula_norwegian_time` is a English model originally trained by LeonardoFettucciari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/augmented_model_fast_2_c_norwegian_copula_norwegian_time_en_5.5.0_3.0_1726871744638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/augmented_model_fast_2_c_norwegian_copula_norwegian_time_en_5.5.0_3.0_1726871744638.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_vitamin_c_fact_verification|
+|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/DunnBC22/bert-base-uncased-Vitamin_C_Fact_Verification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline_en.md
new file mode 100644
index 00000000000000..e0b7da26ac6d17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline pipeline RoBertaForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline` is a English model originally trained by Rodrigo1771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline_en_5.5.0_3.0_1726847477378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline_en_5.5.0_3.0_1726847477378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_combined_train_distemist_dev_word2vec_85_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|440.6 MB|
+
+## References
+
+https://huggingface.co/Rodrigo1771/bsc-bio-ehr-es-combined-train-distemist-dev-word2vec-85-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_robinsh2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_robinsh2023_pipeline_en.md
new file mode 100644
index 00000000000000..c53fda86fcc133
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-burmese_awesome_model_robinsh2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_robinsh2023_pipeline pipeline DistilBertForSequenceClassification from Robinsh2023
+author: John Snow Labs
+name: burmese_awesome_model_robinsh2023_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_robinsh2023_pipeline` is a English model originally trained by Robinsh2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_robinsh2023_pipeline_en_5.5.0_3.0_1726809000095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_robinsh2023_pipeline_en_5.5.0_3.0_1726809000095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_robinsh2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_robinsh2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_robinsh2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Robinsh2023/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cate_classfication_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cate_classfication_pipeline_en.md
new file mode 100644
index 00000000000000..21b660e91e8299
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_cate_classfication_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cate_classfication_pipeline pipeline DistilBertForSequenceClassification from shnguo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cate_classfication_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cate_classfication_pipeline` is a English model originally trained by shnguo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cate_classfication_pipeline_en_5.5.0_3.0_1726823577140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cate_classfication_pipeline_en_5.5.0_3.0_1726823577140.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_cate_classfication_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cate_classfication_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cate_classfication_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|253.6 MB|
+
+## References
+
+https://huggingface.co/shnguo/distilbert-base-uncased-finetuned-cate-classfication
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline_en.md
new file mode 100644
index 00000000000000..612c9634d84342
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline pipeline DistilBertForSequenceClassification from minseok0109
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline` is a English model originally trained by minseok0109.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline_en_5.5.0_3.0_1726823597918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline_en_5.5.0_3.0_1726823597918.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_minseok0109_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_minseok0109_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/minseok0109/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shng2025_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shng2025_en.md
new file mode 100644
index 00000000000000..35307329560f93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_emotion_shng2025_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_shng2025 DistilBertForSequenceClassification from shng2025
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_shng2025
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shng2025` is a English model originally trained by shng2025.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shng2025_en_5.5.0_3.0_1726871504276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shng2025_en_5.5.0_3.0_1726871504276.zip){:.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_h40vv3n|
+|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/h40vv3n/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_pad_mult_clf_v2_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_pad_mult_clf_v2_en.md
new file mode 100644
index 00000000000000..e872f153a0e9a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_finetuned_pad_mult_clf_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_pad_mult_clf_v2 DistilBertForSequenceClassification from netoferraz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_pad_mult_clf_v2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_pad_mult_clf_v2` is a English model originally trained by netoferraz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pad_mult_clf_v2_en_5.5.0_3.0_1726809524710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pad_mult_clf_v2_en_5.5.0_3.0_1726809524710.zip){:.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_pad_mult_clf_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/netoferraz/distilbert-base-uncased-finetuned-pad-mult-clf-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st8sd_ut72ut1large8pfxnf_simsp400_clean300_en.md b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st8sd_ut72ut1large8pfxnf_simsp400_clean300_en.md
new file mode 100644
index 00000000000000..958f5207736d0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-distilbert_base_uncased_odm_zphr_0st8sd_ut72ut1large8pfxnf_simsp400_clean300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st8sd_ut72ut1large8pfxnf_simsp400_clean300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st8sd_ut72ut1large8pfxnf_simsp400_clean300
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st8sd_ut72ut1large8pfxnf_simsp400_clean300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st8sd_ut72ut1large8pfxnf_simsp400_clean300_en_5.5.0_3.0_1726829957204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st8sd_ut72ut1large8pfxnf_simsp400_clean300_en_5.5.0_3.0_1726829957204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st8sd_ut72ut1large8pfxnf_simsp400_clean300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st8sd_ut72ut1large8PfxNf_simsp400_clean300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_david1987bb_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_david1987bb_en.md
new file mode 100644
index 00000000000000..a358a9edc31622
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_david1987bb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_david1987bb DistilBertForSequenceClassification from David1987BB
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_david1987bb
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_david1987bb` is a English model originally trained by David1987BB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_david1987bb_en_5.5.0_3.0_1726848694391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_david1987bb_en_5.5.0_3.0_1726848694391.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_david1987bb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/David1987BB/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_yeabinml_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_yeabinml_pipeline_en.md
new file mode 100644
index 00000000000000..3f0b648e64b2b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3000_samples_yeabinml_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_yeabinml_pipeline pipeline DistilBertForSequenceClassification from Yeabinml
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_yeabinml_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_yeabinml_pipeline` is a English model originally trained by Yeabinml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yeabinml_pipeline_en_5.5.0_3.0_1726871361180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_yeabinml_pipeline_en_5.5.0_3.0_1726871361180.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_yeabinml_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_yeabinml_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_yeabinml_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Yeabinml/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3500_samples_train_yvillamil_en.md b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3500_samples_train_yvillamil_en.md
new file mode 100644
index 00000000000000..000170446b0fd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-finetuning_sentiment_model_3500_samples_train_yvillamil_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3500_samples_train_yvillamil DistilBertForSequenceClassification from yvillamil
+author: John Snow Labs
+name: finetuning_sentiment_model_3500_samples_train_yvillamil
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3500_samples_train_yvillamil` is a English model originally trained by yvillamil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3500_samples_train_yvillamil_en_5.5.0_3.0_1726823471007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3500_samples_train_yvillamil_en_5.5.0_3.0_1726823471007.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_3500_samples_train_yvillamil|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yvillamil/finetuning-sentiment-model-3500-samples-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent2_pipeline_en.md
new file mode 100644
index 00000000000000..763af79b918a31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent2_pipeline pipeline RoBertaForSequenceClassification from RogerB
+author: John Snow Labs
+name: kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent2_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent2_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_sent2_pipeline_en_5.5.0_3.0_1726804614586.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_sent2_pipeline_en_5.5.0_3.0_1726804614586.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_sent2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent2_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-sent2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_3e_4_nathanjlee_en.md b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_3e_4_nathanjlee_en.md
new file mode 100644
index 00000000000000..72f9fcb651ed00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-nlp2_base_3e_4_nathanjlee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp2_base_3e_4_nathanjlee DistilBertForSequenceClassification from NathanJLee
+author: John Snow Labs
+name: nlp2_base_3e_4_nathanjlee
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp2_base_3e_4_nathanjlee` is a English model originally trained by NathanJLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_4_nathanjlee_en_5.5.0_3.0_1726849201280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp2_base_3e_4_nathanjlee_en_5.5.0_3.0_1726849201280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp2_base_3e_4_nathanjlee|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/NathanJLee/NLP2_Base_3e-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_baseline_finetuned_atis_3pct_v2_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_baseline_finetuned_atis_3pct_v2_en.md
new file mode 100644
index 00000000000000..33e41c121f2ec6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_baseline_finetuned_atis_3pct_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_baseline_finetuned_atis_3pct_v2 RoBertaForSequenceClassification from benayas
+author: John Snow Labs
+name: roberta_baseline_finetuned_atis_3pct_v2
+date: 2024-09-20
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_baseline_finetuned_atis_3pct_v2` is a English model originally trained by benayas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_baseline_finetuned_atis_3pct_v2_en_5.5.0_3.0_1726851816619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_baseline_finetuned_atis_3pct_v2_en_5.5.0_3.0_1726851816619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_baseline_finetuned_atis_3pct_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|416.8 MB|
+
+## References
+
+https://huggingface.co/benayas/roberta-baseline-finetuned-atis_3pct_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_large_ncbi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_ncbi_pipeline_en.md
new file mode 100644
index 00000000000000..b9c3edd8daf92a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_large_ncbi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_ncbi_pipeline pipeline RoBertaForTokenClassification from CheccoCando
+author: John Snow Labs
+name: roberta_large_ncbi_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_ncbi_pipeline` is a English model originally trained by CheccoCando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_ncbi_pipeline_en_5.5.0_3.0_1726862389611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_ncbi_pipeline_en_5.5.0_3.0_1726862389611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_ncbi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_ncbi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_ncbi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CheccoCando/roberta-large_ncbi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-roberta_ner_devanshrj_en.md b/docs/_posts/ahmedlone127/2024-09-20-roberta_ner_devanshrj_en.md
new file mode 100644
index 00000000000000..f7f742d84f9434
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-roberta_ner_devanshrj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_ner_devanshrj RoBertaForTokenClassification from devanshrj
+author: John Snow Labs
+name: roberta_ner_devanshrj
+date: 2024-09-20
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_ner_devanshrj` is a English model originally trained by devanshrj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ner_devanshrj_en_5.5.0_3.0_1726847615829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ner_devanshrj_en_5.5.0_3.0_1726847615829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_uncased_git|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/littlebird13/bert-base-uncased-git
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sentience_classification_score_pytorch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sentience_classification_score_pytorch_pipeline_en.md
new file mode 100644
index 00000000000000..1d5d72509480a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sentience_classification_score_pytorch_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentience_classification_score_pytorch_pipeline pipeline DistilBertForSequenceClassification from aeaee
+author: John Snow Labs
+name: sentience_classification_score_pytorch_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentience_classification_score_pytorch_pipeline` is a English model originally trained by aeaee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentience_classification_score_pytorch_pipeline_en_5.5.0_3.0_1726823626901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentience_classification_score_pytorch_pipeline_en_5.5.0_3.0_1726823626901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentience_classification_score_pytorch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentience_classification_score_pytorch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentience_classification_score_pytorch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aeaee/SENTIENCE_Classification_Score_pytorch
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_base_rslora_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_base_rslora_pipeline_en.md
new file mode 100644
index 00000000000000..1790ae2ebb5a99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-sentiment_analysis_base_rslora_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_base_rslora_pipeline pipeline RoBertaForSequenceClassification from Shotaro30678
+author: John Snow Labs
+name: sentiment_analysis_base_rslora_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_base_rslora_pipeline` is a English model originally trained by Shotaro30678.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_base_rslora_pipeline_en_5.5.0_3.0_1726851649597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_base_rslora_pipeline_en_5.5.0_3.0_1726851649597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_base_rslora_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_base_rslora_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_base_rslora_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/Shotaro30678/sentiment-analysis-base-rslora
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-20-trainer3b_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-20-trainer3b_pipeline_en.md
new file mode 100644
index 00000000000000..a6c82d0f4c9c26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-20-trainer3b_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trainer3b_pipeline pipeline DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainer3b_pipeline
+date: 2024-09-20
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer3b_pipeline` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer3b_pipeline_en_5.5.0_3.0_1726823850489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer3b_pipeline_en_5.5.0_3.0_1726823850489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trainer3b_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trainer3b_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer3b_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainer3b
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline_en.md
new file mode 100644
index 00000000000000..e26e910a5c4639
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline_en_5.5.0_3.0_1726946344279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline_en_5.5.0_3.0_1726946344279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_0_0005_wd_0_01_dp_0_99_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-0.0005-wd-0.01-dp-0.99
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-coha1860s_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-coha1860s_pipeline_en.md
new file mode 100644
index 00000000000000..d8fb2814a00bc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-coha1860s_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English coha1860s_pipeline pipeline RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1860s_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coha1860s_pipeline` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1860s_pipeline_en_5.5.0_3.0_1726934236904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1860s_pipeline_en_5.5.0_3.0_1726934236904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("coha1860s_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("coha1860s_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1860s_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|312.0 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1860s
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-distilroberta_topic_classification_3_en.md b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_topic_classification_3_en.md
new file mode 100644
index 00000000000000..c6333164fae4f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-distilroberta_topic_classification_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_topic_classification_3 RoBertaForSequenceClassification from abdulmatinomotoso
+author: John Snow Labs
+name: distilroberta_topic_classification_3
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_topic_classification_3` is a English model originally trained by abdulmatinomotoso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_topic_classification_3_en_5.5.0_3.0_1726940691935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_topic_classification_3_en_5.5.0_3.0_1726940691935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|openai_whisper_small_zoomrx_colab_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|xx|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/PraveenJesu/openai-whisper-small-zoomrx-colab-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_pais_en.md b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_pais_en.md
new file mode 100644
index 00000000000000..2abb5aca74f3df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_pais_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_pais RoBertaForSequenceClassification from vg055
+author: John Snow Labs
+name: roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_pais
+date: 2024-09-21
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_pais` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_pais_en_5.5.0_3.0_1726940346829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_pais_en_5.5.0_3.0_1726940346829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_lyric_tonga_tonga_islands_genre|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Veucci/turkish-lyric-to-genre
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_base_malayalam_redw0rm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_malayalam_redw0rm_pipeline_en.md
new file mode 100644
index 00000000000000..d720afd1b55daf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_base_malayalam_redw0rm_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_malayalam_redw0rm_pipeline pipeline WhisperForCTC from redw0rm
+author: John Snow Labs
+name: whisper_base_malayalam_redw0rm_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_malayalam_redw0rm_pipeline` is a English model originally trained by redw0rm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_malayalam_redw0rm_pipeline_en_5.5.0_3.0_1726950658190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_malayalam_redw0rm_pipeline_en_5.5.0_3.0_1726950658190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_malayalam_redw0rm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_malayalam_redw0rm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_malayalam_redw0rm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|644.1 MB|
+
+## References
+
+https://huggingface.co/redw0rm/whisper-base-ml
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ga2en_v1_2_r_pipeline_ga.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ga2en_v1_2_r_pipeline_ga.md
new file mode 100644
index 00000000000000..924287b9f04a0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_ga2en_v1_2_r_pipeline_ga.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Irish whisper_small_ga2en_v1_2_r_pipeline pipeline WhisperForCTC from ymoslem
+author: John Snow Labs
+name: whisper_small_ga2en_v1_2_r_pipeline
+date: 2024-09-21
+tags: [ga, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ga
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ga2en_v1_2_r_pipeline` is a Irish model originally trained by ymoslem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ga2en_v1_2_r_pipeline_ga_5.5.0_3.0_1726937558716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ga2en_v1_2_r_pipeline_ga_5.5.0_3.0_1726937558716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ga2en_v1_2_r_pipeline", lang = "ga")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ga2en_v1_2_r_pipeline", lang = "ga")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ga2en_v1_2_r_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ga|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ymoslem/whisper-small-ga2en-v1.2-r
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_igbo_jamese360_ig.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_igbo_jamese360_ig.md
new file mode 100644
index 00000000000000..2e1faca3bc51b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_igbo_jamese360_ig.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Igbo whisper_small_igbo_jamese360 WhisperForCTC from jamese360
+author: John Snow Labs
+name: whisper_small_igbo_jamese360
+date: 2024-09-21
+tags: [ig, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ig
+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_igbo_jamese360` is a Igbo model originally trained by jamese360.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_igbo_jamese360_ig_5.5.0_3.0_1726892318017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_igbo_jamese360_ig_5.5.0_3.0_1726892318017.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_igbo_jamese360|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ig|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/jamese360/whisper-small-ig
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_javanese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_javanese_pipeline_en.md
new file mode 100644
index 00000000000000..1108f3029435f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_javanese_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_javanese_pipeline pipeline WhisperForCTC from Rizka
+author: John Snow Labs
+name: whisper_small_javanese_pipeline
+date: 2024-09-21
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_javanese_pipeline` is a English model originally trained by Rizka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_javanese_pipeline_en_5.5.0_3.0_1726936884345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_javanese_pipeline_en_5.5.0_3.0_1726936884345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_javanese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_javanese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_javanese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Rizka/whisper-small-jv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-21-whisper_small_vasi001_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_vasi001_pipeline_hi.md
new file mode 100644
index 00000000000000..5906cf8aabb558
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-21-whisper_small_vasi001_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_vasi001_pipeline pipeline WhisperForCTC from Vasi001
+author: John Snow Labs
+name: whisper_small_vasi001_pipeline
+date: 2024-09-21
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_vasi001_pipeline` is a Hindi model originally trained by Vasi001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_vasi001_pipeline_hi_5.5.0_3.0_1726937731186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_vasi001_pipeline_hi_5.5.0_3.0_1726937731186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_vasi001_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_vasi001_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_vasi001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Vasi001/whisper-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-all_roberta_large_v1_home_1000_16_5_oos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-all_roberta_large_v1_home_1000_16_5_oos_pipeline_en.md
new file mode 100644
index 00000000000000..2ce208bc7ccc6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-all_roberta_large_v1_home_1000_16_5_oos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_home_1000_16_5_oos_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_home_1000_16_5_oos_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_home_1000_16_5_oos_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_1000_16_5_oos_pipeline_en_5.5.0_3.0_1727037032494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_1000_16_5_oos_pipeline_en_5.5.0_3.0_1727037032494.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_1000_16_5_oos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_home_1000_16_5_oos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_home_1000_16_5_oos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-home-1000-16-5-oos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_ep_1_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_ep_1_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_pipeline_en.md
new file mode 100644
index 00000000000000..9945e9c3782dfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_base_uncased_ep_1_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_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_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_pipeline_en_5.5.0_3.0_1727042908813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_pipeline_en_5.5.0_3.0_1727042908813.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_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_1_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_29_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_300_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-1.29-b-32-lr-8e-07-dp-0.5-ss-0-st-False-fh-False-hs-300
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-bert_large_portuguese_cased_assin2_entailment_pt.md b/docs/_posts/ahmedlone127/2024-09-22-bert_large_portuguese_cased_assin2_entailment_pt.md
new file mode 100644
index 00000000000000..b9d588c05cc755
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-bert_large_portuguese_cased_assin2_entailment_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese bert_large_portuguese_cased_assin2_entailment BertForSequenceClassification from ruanchaves
+author: John Snow Labs
+name: bert_large_portuguese_cased_assin2_entailment
+date: 2024-09-22
+tags: [pt, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: pt
+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_large_portuguese_cased_assin2_entailment` is a Portuguese model originally trained by ruanchaves.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_portuguese_cased_assin2_entailment_pt_5.5.0_3.0_1727032489823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_portuguese_cased_assin2_entailment_pt_5.5.0_3.0_1727032489823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_portuguese_cased_assin2_entailment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ruanchaves/bert-large-portuguese-cased-assin2-entailment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-brand_classification_20240708_model_2_distilbert_0_980011_en.md b/docs/_posts/ahmedlone127/2024-09-22-brand_classification_20240708_model_2_distilbert_0_980011_en.md
new file mode 100644
index 00000000000000..148874f3341d01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-brand_classification_20240708_model_2_distilbert_0_980011_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English brand_classification_20240708_model_2_distilbert_0_980011 DistilBertForSequenceClassification from jointriple
+author: John Snow Labs
+name: brand_classification_20240708_model_2_distilbert_0_980011
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brand_classification_20240708_model_2_distilbert_0_980011` is a English model originally trained by jointriple.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brand_classification_20240708_model_2_distilbert_0_980011_en_5.5.0_3.0_1727012231653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brand_classification_20240708_model_2_distilbert_0_980011_en_5.5.0_3.0_1727012231653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_philander|
+|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/PHILANDER/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_mou11209203_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_mou11209203_pipeline_en.md
new file mode 100644
index 00000000000000..68cdd963f1549e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-burmese_awesome_model_mou11209203_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_mou11209203_pipeline pipeline DistilBertForSequenceClassification from Mou11209203
+author: John Snow Labs
+name: burmese_awesome_model_mou11209203_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_mou11209203_pipeline` is a English model originally trained by Mou11209203.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mou11209203_pipeline_en_5.5.0_3.0_1727012979332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mou11209203_pipeline_en_5.5.0_3.0_1727012979332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_mou11209203_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_mou11209203_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_mou11209203_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mou11209203/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-chatgpt_essay_llms_en.md b/docs/_posts/ahmedlone127/2024-09-22-chatgpt_essay_llms_en.md
new file mode 100644
index 00000000000000..3d61eef24417ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-chatgpt_essay_llms_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chatgpt_essay_llms DistilBertForSequenceClassification from huyen89
+author: John Snow Labs
+name: chatgpt_essay_llms
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chatgpt_essay_llms` is a English model originally trained by huyen89.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chatgpt_essay_llms_en_5.5.0_3.0_1726980693273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chatgpt_essay_llms_en_5.5.0_3.0_1726980693273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatgpt_essay_llms|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/huyen89/ChatGPT-Essay_LLMs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-clasificadormotivomora_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-22-clasificadormotivomora_distilbert_en.md
new file mode 100644
index 00000000000000..45901591355ed3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-clasificadormotivomora_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clasificadormotivomora_distilbert DistilBertForSequenceClassification from Arodrigo
+author: John Snow Labs
+name: clasificadormotivomora_distilbert
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificadormotivomora_distilbert` is a English model originally trained by Arodrigo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificadormotivomora_distilbert_en_5.5.0_3.0_1727035493766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificadormotivomora_distilbert_en_5.5.0_3.0_1727035493766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificadormotivomora_distilbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Arodrigo/ClasificadorMotivoMora-Distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-darkstar_bert_ome1_en.md b/docs/_posts/ahmedlone127/2024-09-22-darkstar_bert_ome1_en.md
new file mode 100644
index 00000000000000..6273d2dc6da3ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-darkstar_bert_ome1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English darkstar_bert_ome1 BertForSequenceClassification from Schmitz005
+author: John Snow Labs
+name: darkstar_bert_ome1
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`darkstar_bert_ome1` is a English model originally trained by Schmitz005.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/darkstar_bert_ome1_en_5.5.0_3.0_1726990806523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/darkstar_bert_ome1_en_5.5.0_3.0_1726990806523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|darkstar_bert_ome1|
+|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/Schmitz005/Darkstar-Bert-ome1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline_en.md
new file mode 100644
index 00000000000000..7b790b2f0cfd82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline pipeline DistilBertForSequenceClassification from ArtoriasXV
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline` is a English model originally trained by ArtoriasXV.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline_en_5.5.0_3.0_1727012464582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline_en_5.5.0_3.0_1727012464582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_artoriasxv_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ArtoriasXV/distilbert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilbert_food_hightensan_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilbert_food_hightensan_en.md
new file mode 100644
index 00000000000000..0808dd99ec1aba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilbert_food_hightensan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_food_hightensan DistilBertForSequenceClassification from hightensan
+author: John Snow Labs
+name: distilbert_food_hightensan
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_food_hightensan` is a English model originally trained by hightensan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_food_hightensan_en_5.5.0_3.0_1727020613845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_food_hightensan_en_5.5.0_3.0_1727020613845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_turkish_turkish_spam_email|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/anilguven/distilbert_tr_turkish_spam_email
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_mrpc_glue_kevinvelez18_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_mrpc_glue_kevinvelez18_en.md
new file mode 100644
index 00000000000000..e20b99ac5ea7b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_base_mrpc_glue_kevinvelez18_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_kevinvelez18 RoBertaForSequenceClassification from kevinvelez18
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_kevinvelez18
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mrpc_glue_kevinvelez18` is a English model originally trained by kevinvelez18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_kevinvelez18_en_5.5.0_3.0_1726967970139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_kevinvelez18_en_5.5.0_3.0_1726967970139.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_kevinvelez18|
+|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/kevinvelez18/distilroberta-base-mrpc-glue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-distilroberta_finetuned_financial_text_regression_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_finetuned_financial_text_regression_pipeline_en.md
new file mode 100644
index 00000000000000..bc8692eec4794f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-distilroberta_finetuned_financial_text_regression_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_finetuned_financial_text_regression_pipeline pipeline RoBertaForSequenceClassification from lwat64
+author: John Snow Labs
+name: distilroberta_finetuned_financial_text_regression_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_finetuned_financial_text_regression_pipeline` is a English model originally trained by lwat64.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_finetuned_financial_text_regression_pipeline_en_5.5.0_3.0_1726972150024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_finetuned_financial_text_regression_pipeline_en_5.5.0_3.0_1726972150024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_finetuned_financial_text_regression_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_finetuned_financial_text_regression_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_finetuned_financial_text_regression_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/lwat64/distilroberta-finetuned-financial-text-regression
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_neo111x_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_neo111x_pipeline_en.md
new file mode 100644
index 00000000000000..fd3d8a8b09eb34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-finetuning_sentiment_model_3000_samples_neo111x_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_neo111x_pipeline pipeline DistilBertForSequenceClassification from Neo111x
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_neo111x_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_neo111x_pipeline` is a English model originally trained by Neo111x.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_neo111x_pipeline_en_5.5.0_3.0_1727020409265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_neo111x_pipeline_en_5.5.0_3.0_1727020409265.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_neo111x_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_neo111x_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_neo111x_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Neo111x/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-ft_distilbert_base_uncased_nlp_feup_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-ft_distilbert_base_uncased_nlp_feup_pipeline_en.md
new file mode 100644
index 00000000000000..d2505355ab9a82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-ft_distilbert_base_uncased_nlp_feup_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ft_distilbert_base_uncased_nlp_feup_pipeline pipeline DistilBertForSequenceClassification from NLP-FEUP
+author: John Snow Labs
+name: ft_distilbert_base_uncased_nlp_feup_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_distilbert_base_uncased_nlp_feup_pipeline` is a English model originally trained by NLP-FEUP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_distilbert_base_uncased_nlp_feup_pipeline_en_5.5.0_3.0_1727035525332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_distilbert_base_uncased_nlp_feup_pipeline_en_5.5.0_3.0_1727035525332.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_nlp_feup_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ft_distilbert_base_uncased_nlp_feup_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_distilbert_base_uncased_nlp_feup_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/NLP-FEUP/FT-distilbert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-hello_classification_model_en.md b/docs/_posts/ahmedlone127/2024-09-22-hello_classification_model_en.md
new file mode 100644
index 00000000000000..0d0b89c7504dbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-hello_classification_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hello_classification_model DistilBertForSequenceClassification from krishnareddy
+author: John Snow Labs
+name: hello_classification_model
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hello_classification_model` is a English model originally trained by krishnareddy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hello_classification_model_en_5.5.0_3.0_1727012455670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hello_classification_model_en_5.5.0_3.0_1727012455670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hello_classification_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/krishnareddy/hello_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-imdb4_en.md b/docs/_posts/ahmedlone127/2024-09-22-imdb4_en.md
new file mode 100644
index 00000000000000..19a9e5fda9ffc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-imdb4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb4 BertForSequenceClassification from Lumos
+author: John Snow Labs
+name: imdb4
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb4` is a English model originally trained by Lumos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb4_en_5.5.0_3.0_1727032501843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb4_en_5.5.0_3.0_1727032501843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb4|
+|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/Lumos/imdb4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-imdbreviews_classification_roberta_v02_clf_finetuning_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-imdbreviews_classification_roberta_v02_clf_finetuning_pipeline_en.md
new file mode 100644
index 00000000000000..8127e33f17d98c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-imdbreviews_classification_roberta_v02_clf_finetuning_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdbreviews_classification_roberta_v02_clf_finetuning_pipeline pipeline RoBertaForSequenceClassification from darmendarizp
+author: John Snow Labs
+name: imdbreviews_classification_roberta_v02_clf_finetuning_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_roberta_v02_clf_finetuning_pipeline` is a English model originally trained by darmendarizp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_v02_clf_finetuning_pipeline_en_5.5.0_3.0_1727017321135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_v02_clf_finetuning_pipeline_en_5.5.0_3.0_1727017321135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdbreviews_classification_roberta_v02_clf_finetuning_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdbreviews_classification_roberta_v02_clf_finetuning_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbreviews_classification_roberta_v02_clf_finetuning_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/darmendarizp/imdbreviews_classification_roberta_v02_clf_finetuning
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-minilmv2_l6_h384_mlm_multi_emails_hq_en.md b/docs/_posts/ahmedlone127/2024-09-22-minilmv2_l6_h384_mlm_multi_emails_hq_en.md
new file mode 100644
index 00000000000000..5a3b84a8ca4077
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-minilmv2_l6_h384_mlm_multi_emails_hq_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English minilmv2_l6_h384_mlm_multi_emails_hq RoBertaEmbeddings from postbot
+author: John Snow Labs
+name: minilmv2_l6_h384_mlm_multi_emails_hq
+date: 2024-09-22
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilmv2_l6_h384_mlm_multi_emails_hq` is a English model originally trained by postbot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h384_mlm_multi_emails_hq_en_5.5.0_3.0_1727042048476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h384_mlm_multi_emails_hq_en_5.5.0_3.0_1727042048476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilmv2_l6_h384_mlm_multi_emails_hq|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|114.2 MB|
+
+## References
+
+https://huggingface.co/postbot/MiniLMv2-L6-H384-mlm-multi-emails-hq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-persian_text_emotion_bert_v1_fa.md b/docs/_posts/ahmedlone127/2024-09-22-persian_text_emotion_bert_v1_fa.md
new file mode 100644
index 00000000000000..baaaa7100a29a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-persian_text_emotion_bert_v1_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian persian_text_emotion_bert_v1 BertForSequenceClassification from SeyedAli
+author: John Snow Labs
+name: persian_text_emotion_bert_v1
+date: 2024-09-22
+tags: [fa, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`persian_text_emotion_bert_v1` is a Persian model originally trained by SeyedAli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/persian_text_emotion_bert_v1_fa_5.5.0_3.0_1726988660120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/persian_text_emotion_bert_v1_fa_5.5.0_3.0_1726988660120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|persian_text_emotion_bert_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/SeyedAli/Persian-Text-Emotion-Bert-V1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-roberta_base_finetuned_sleevelength_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_finetuned_sleevelength_pipeline_en.md
new file mode 100644
index 00000000000000..49dcdf5f5000db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-roberta_base_finetuned_sleevelength_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_sleevelength_pipeline pipeline RoBertaForSequenceClassification from Cournane
+author: John Snow Labs
+name: roberta_base_finetuned_sleevelength_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_sleevelength_pipeline` is a English model originally trained by Cournane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sleevelength_pipeline_en_5.5.0_3.0_1727036931911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sleevelength_pipeline_en_5.5.0_3.0_1727036931911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_sleevelength_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_sleevelength_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_sleevelength_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.2 MB|
+
+## References
+
+https://huggingface.co/Cournane/roberta-base-finetuned-SleeveLength
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_finnish_europeana_cased_en.md b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_finnish_europeana_cased_en.md
new file mode 100644
index 00000000000000..0460d492ccdfba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sent_bert_base_finnish_europeana_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_finnish_europeana_cased BertSentenceEmbeddings from dbmdz
+author: John Snow Labs
+name: sent_bert_base_finnish_europeana_cased
+date: 2024-09-22
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_finnish_europeana_cased` is a English model originally trained by dbmdz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_finnish_europeana_cased_en_5.5.0_3.0_1727013591575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_finnish_europeana_cased_en_5.5.0_3.0_1727013591575.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_finnish_europeana_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|411.3 MB|
+
+## References
+
+https://huggingface.co/dbmdz/bert-base-finnish-europeana-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-sharif_pors_bert_base_sharif_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-sharif_pors_bert_base_sharif_qa_pipeline_en.md
new file mode 100644
index 00000000000000..85c36d93cdf53c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-sharif_pors_bert_base_sharif_qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English sharif_pors_bert_base_sharif_qa_pipeline pipeline BertForQuestionAnswering from parsi-ai-nlpclass
+author: John Snow Labs
+name: sharif_pors_bert_base_sharif_qa_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sharif_pors_bert_base_sharif_qa_pipeline` is a English model originally trained by parsi-ai-nlpclass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sharif_pors_bert_base_sharif_qa_pipeline_en_5.5.0_3.0_1727042513072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sharif_pors_bert_base_sharif_qa_pipeline_en_5.5.0_3.0_1727042513072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sharif_pors_bert_base_sharif_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sharif_pors_bert_base_sharif_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sharif_pors_bert_base_sharif_qa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|606.5 MB|
+
+## References
+
+https://huggingface.co/parsi-ai-nlpclass/Sharif-Pors-bert-base-sharif-qa
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-tapp_multilabel_climatebert_f_en.md b/docs/_posts/ahmedlone127/2024-09-22-tapp_multilabel_climatebert_f_en.md
new file mode 100644
index 00000000000000..08ad1bb1a9be1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-tapp_multilabel_climatebert_f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tapp_multilabel_climatebert_f RoBertaForSequenceClassification from GIZ
+author: John Snow Labs
+name: tapp_multilabel_climatebert_f
+date: 2024-09-22
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tapp_multilabel_climatebert_f` is a English model originally trained by GIZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tapp_multilabel_climatebert_f_en_5.5.0_3.0_1726972192416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tapp_multilabel_climatebert_f_en_5.5.0_3.0_1726972192416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tapp_multilabel_climatebert_f|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/GIZ/TAPP-multilabel-climatebert_f
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-trainer8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-22-trainer8_pipeline_en.md
new file mode 100644
index 00000000000000..2df849cd3b3518
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-trainer8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trainer8_pipeline pipeline DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainer8_pipeline
+date: 2024-09-22
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer8_pipeline` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer8_pipeline_en_5.5.0_3.0_1727020498492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer8_pipeline_en_5.5.0_3.0_1727020498492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trainer8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trainer8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/SimoneJLaudani/trainer8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-whisper_small_arabic_huggingpanda_en.md b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_arabic_huggingpanda_en.md
new file mode 100644
index 00000000000000..0416eac15d2384
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-whisper_small_arabic_huggingpanda_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_arabic_huggingpanda WhisperForCTC from HuggingPanda
+author: John Snow Labs
+name: whisper_small_arabic_huggingpanda
+date: 2024-09-22
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_arabic_huggingpanda` is a English model originally trained by HuggingPanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_huggingpanda_en_5.5.0_3.0_1727022945732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_arabic_huggingpanda_en_5.5.0_3.0_1727022945732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_arabic_huggingpanda|
+|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/HuggingPanda/whisper-small-arabic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_ashrielbrian_en.md b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_ashrielbrian_en.md
new file mode 100644
index 00000000000000..b342f2cea1240e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-22-xlm_roberta_base_finetuned_panx_all_ashrielbrian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_ashrielbrian XlmRoBertaForTokenClassification from ashrielbrian
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_ashrielbrian
+date: 2024-09-22
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_ashrielbrian` is a English model originally trained by ashrielbrian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_ashrielbrian_en_5.5.0_3.0_1726970644262.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_ashrielbrian_en_5.5.0_3.0_1726970644262.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_ashrielbrian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/ashrielbrian/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-ag_news_roberta_base_seed_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-ag_news_roberta_base_seed_2_pipeline_en.md
new file mode 100644
index 00000000000000..5bc9692043e315
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-ag_news_roberta_base_seed_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ag_news_roberta_base_seed_2_pipeline pipeline RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: ag_news_roberta_base_seed_2_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_base_seed_2_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_roberta_base_seed_2_pipeline_en_5.5.0_3.0_1727055279043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_roberta_base_seed_2_pipeline_en_5.5.0_3.0_1727055279043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ag_news_roberta_base_seed_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ag_news_roberta_base_seed_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_roberta_base_seed_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.3 MB|
+
+## References
+
+https://huggingface.co/utahnlp/ag_news_roberta-base_seed-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-all_roberta_large_v1_auto_and_commute_1000_16_5_oos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-all_roberta_large_v1_auto_and_commute_1000_16_5_oos_pipeline_en.md
new file mode 100644
index 00000000000000..ac91be5fa42791
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-all_roberta_large_v1_auto_and_commute_1000_16_5_oos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_auto_and_commute_1000_16_5_oos_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_auto_and_commute_1000_16_5_oos_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_1000_16_5_oos_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_auto_and_commute_1000_16_5_oos_pipeline_en_5.5.0_3.0_1727134945968.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_1000_16_5_oos_pipeline_en_5.5.0_3.0_1727134945968.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_1000_16_5_oos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_auto_and_commute_1000_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_1000_16_5_oos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-auto_and_commute-1000-16-5-oos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-augmented_model_fast_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-augmented_model_fast_1_pipeline_en.md
new file mode 100644
index 00000000000000..dd6444691d28eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-augmented_model_fast_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English augmented_model_fast_1_pipeline pipeline DistilBertForSequenceClassification from LeonardoFettucciari
+author: John Snow Labs
+name: augmented_model_fast_1_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`augmented_model_fast_1_pipeline` is a English model originally trained by LeonardoFettucciari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/augmented_model_fast_1_pipeline_en_5.5.0_3.0_1727073536369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/augmented_model_fast_1_pipeline_en_5.5.0_3.0_1727073536369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("augmented_model_fast_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("augmented_model_fast_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|augmented_model_fast_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LeonardoFettucciari/augmented_model_fast_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-autotrain_xlmroberta_iuexist_50302120401_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-autotrain_xlmroberta_iuexist_50302120401_pipeline_en.md
new file mode 100644
index 00000000000000..fe5ecfd435626e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-autotrain_xlmroberta_iuexist_50302120401_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_xlmroberta_iuexist_50302120401_pipeline pipeline XlmRoBertaForSequenceClassification from Muhsabrys
+author: John Snow Labs
+name: autotrain_xlmroberta_iuexist_50302120401_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_xlmroberta_iuexist_50302120401_pipeline` is a English model originally trained by Muhsabrys.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_xlmroberta_iuexist_50302120401_pipeline_en_5.5.0_3.0_1727126044084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_xlmroberta_iuexist_50302120401_pipeline_en_5.5.0_3.0_1727126044084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_xlmroberta_iuexist_50302120401_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_xlmroberta_iuexist_50302120401_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_xlmroberta_iuexist_50302120401_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Muhsabrys/autotrain-xlmroberta-iuexist-50302120401
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncase_conll2012_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncase_conll2012_pipeline_en.md
new file mode 100644
index 00000000000000..84ac539e546e3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncase_conll2012_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncase_conll2012_pipeline pipeline BertForTokenClassification from sarveshsk
+author: John Snow Labs
+name: bert_base_uncase_conll2012_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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_uncase_conll2012_pipeline` is a English model originally trained by sarveshsk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncase_conll2012_pipeline_en_5.5.0_3.0_1727111323814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncase_conll2012_pipeline_en_5.5.0_3.0_1727111323814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncase_conll2012_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncase_conll2012_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncase_conll2012_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/sarveshsk/bert_base_uncase_Conll2012
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_conll2003_joshuaphua_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_conll2003_joshuaphua_en.md
new file mode 100644
index 00000000000000..6fdf5ea9aa5a79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_base_uncased_conll2003_joshuaphua_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_conll2003_joshuaphua BertForTokenClassification from joshuaphua
+author: John Snow Labs
+name: bert_base_uncased_conll2003_joshuaphua
+date: 2024-09-23
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_conll2003_joshuaphua` is a English model originally trained by joshuaphua.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_conll2003_joshuaphua_en_5.5.0_3.0_1727098255511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_conll2003_joshuaphua_en_5.5.0_3.0_1727098255511.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_conll2003_joshuaphua|
+|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/joshuaphua/bert-base-uncased-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline_en.md
new file mode 100644
index 00000000000000..800eb507ae57fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline pipeline BertForQuestionAnswering from mdzrg
+author: John Snow Labs
+name: bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline` is a English model originally trained by mdzrg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline_en_5.5.0_3.0_1727049738034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline_en_5.5.0_3.0_1727049738034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_whole_word_masking_finetuned_squad_dev_one_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/mdzrg/bert-large-uncased-whole-word-masking-finetuned-squad-dev-one
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-bertin_roberta_base_spanish_finetuned_xnli_en.md b/docs/_posts/ahmedlone127/2024-09-23-bertin_roberta_base_spanish_finetuned_xnli_en.md
new file mode 100644
index 00000000000000..cdf3220947d4f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-bertin_roberta_base_spanish_finetuned_xnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bertin_roberta_base_spanish_finetuned_xnli RoBertaForSequenceClassification from dccuchile
+author: John Snow Labs
+name: bertin_roberta_base_spanish_finetuned_xnli
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertin_roberta_base_spanish_finetuned_xnli` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertin_roberta_base_spanish_finetuned_xnli_en_5.5.0_3.0_1727135230494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertin_roberta_base_spanish_finetuned_xnli_en_5.5.0_3.0_1727135230494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertin_roberta_base_spanish_finetuned_xnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.5 MB|
+
+## References
+
+https://huggingface.co/dccuchile/bertin-roberta-base-spanish-finetuned-xnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_bertester_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_bertester_pipeline_en.md
new file mode 100644
index 00000000000000..ce0e2ad37aad6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_bertester_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_bertester_pipeline pipeline DistilBertForSequenceClassification from bertester
+author: John Snow Labs
+name: burmese_awesome_model_bertester_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_bertester_pipeline` is a English model originally trained by bertester.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bertester_pipeline_en_5.5.0_3.0_1727059754192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_bertester_pipeline_en_5.5.0_3.0_1727059754192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_bertester_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_bertester_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_bertester_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bertester/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_nataliacristina_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_nataliacristina_pipeline_en.md
new file mode 100644
index 00000000000000..b9d449cd1ce559
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-burmese_awesome_model_nataliacristina_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_nataliacristina_pipeline pipeline DistilBertForSequenceClassification from nataliacristina
+author: John Snow Labs
+name: burmese_awesome_model_nataliacristina_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_nataliacristina_pipeline` is a English model originally trained by nataliacristina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nataliacristina_pipeline_en_5.5.0_3.0_1727073759521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_nataliacristina_pipeline_en_5.5.0_3.0_1727073759521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_nataliacristina_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_nataliacristina_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_nataliacristina_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nataliacristina/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distil_whisper_medium_hindi_test_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distil_whisper_medium_hindi_test_v2_pipeline_en.md
new file mode 100644
index 00000000000000..525954a88fc0f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distil_whisper_medium_hindi_test_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distil_whisper_medium_hindi_test_v2_pipeline pipeline WhisperForCTC from yi-ching
+author: John Snow Labs
+name: distil_whisper_medium_hindi_test_v2_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_whisper_medium_hindi_test_v2_pipeline` is a English model originally trained by yi-ching.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_whisper_medium_hindi_test_v2_pipeline_en_5.5.0_3.0_1727077847700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_whisper_medium_hindi_test_v2_pipeline_en_5.5.0_3.0_1727077847700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distil_whisper_medium_hindi_test_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distil_whisper_medium_hindi_test_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_whisper_medium_hindi_test_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.8 GB|
+
+## References
+
+https://huggingface.co/yi-ching/distil-whisper-medium-hi-test-v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge41_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge41_simsp_en.md
new file mode 100644
index 00000000000000..b2ef0d618c3295
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge41_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge41_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge41_simsp
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_plprefix0stlarge41_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_plprefix0stlarge41_simsp_en_5.5.0_3.0_1727059649738.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_plprefix0stlarge41_simsp_en_5.5.0_3.0_1727059649738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge41_simsp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st42sd_ut72ut1_PLPrefix0stlarge41_simsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_sancho3010_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_sancho3010_pipeline_en.md
new file mode 100644
index 00000000000000..140925bb08dc27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_base_uncased_sancho3010_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_sancho3010_pipeline pipeline DistilBertForSequenceClassification from Sancho3010
+author: John Snow Labs
+name: distilbert_base_uncased_sancho3010_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_sancho3010_pipeline` is a English model originally trained by Sancho3010.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sancho3010_pipeline_en_5.5.0_3.0_1727059132555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sancho3010_pipeline_en_5.5.0_3.0_1727059132555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_sancho3010_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_sancho3010_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sancho3010_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sancho3010/distilbert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_finetuned_go_emotions_dataset_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_finetuned_go_emotions_dataset_en.md
new file mode 100644
index 00000000000000..41bdeb8d7c5425
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_finetuned_go_emotions_dataset_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuned_go_emotions_dataset DistilBertForSequenceClassification from abdurrahman22224
+author: John Snow Labs
+name: distilbert_finetuned_go_emotions_dataset
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_go_emotions_dataset` is a English model originally trained by abdurrahman22224.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_go_emotions_dataset_en_5.5.0_3.0_1727087006198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_go_emotions_dataset_en_5.5.0_3.0_1727087006198.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_go_emotions_dataset|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abdurrahman22224/distilbert-finetuned-go-emotions_dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-distilbert_imdb_decentmakeover13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-distilbert_imdb_decentmakeover13_pipeline_en.md
new file mode 100644
index 00000000000000..ac38bdcb8028cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-distilbert_imdb_decentmakeover13_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_imdb_decentmakeover13_pipeline pipeline DistilBertForSequenceClassification from decentmakeover13
+author: John Snow Labs
+name: distilbert_imdb_decentmakeover13_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_decentmakeover13_pipeline` is a English model originally trained by decentmakeover13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_decentmakeover13_pipeline_en_5.5.0_3.0_1727082296688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_decentmakeover13_pipeline_en_5.5.0_3.0_1727082296688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_imdb_decentmakeover13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_imdb_decentmakeover13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_decentmakeover13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/decentmakeover13/distilbert-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_murali07_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_murali07_en.md
new file mode 100644
index 00000000000000..955c808e8cc95d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_murali07_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_murali07 DistilBertForSequenceClassification from murali07
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_murali07
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_murali07` is a English model originally trained by murali07.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_murali07_en_5.5.0_3.0_1727108473481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_murali07_en_5.5.0_3.0_1727108473481.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_murali07|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/murali07/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_thanhchauns2_en.md b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_thanhchauns2_en.md
new file mode 100644
index 00000000000000..2fc790f34f69bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-finetuning_sentiment_model_3000_samples_thanhchauns2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_thanhchauns2 DistilBertForSequenceClassification from thanhchauns2
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_thanhchauns2
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_thanhchauns2` is a English model originally trained by thanhchauns2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_thanhchauns2_en_5.5.0_3.0_1727082610717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_thanhchauns2_en_5.5.0_3.0_1727082610717.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_thanhchauns2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thanhchauns2/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-hihu5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-hihu5_pipeline_en.md
new file mode 100644
index 00000000000000..d3efecf63be9d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-hihu5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hihu5_pipeline pipeline XlmRoBertaForSequenceClassification from wnic00
+author: John Snow Labs
+name: hihu5_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`hihu5_pipeline` is a English model originally trained by wnic00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hihu5_pipeline_en_5.5.0_3.0_1727126809178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hihu5_pipeline_en_5.5.0_3.0_1727126809178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hihu5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hihu5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hihu5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/wnic00/hihu5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-hw01_chchang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-hw01_chchang_pipeline_en.md
new file mode 100644
index 00000000000000..d2353641c8c617
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-hw01_chchang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hw01_chchang_pipeline pipeline DistilBertForSequenceClassification from CHChang
+author: John Snow Labs
+name: hw01_chchang_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw01_chchang_pipeline` is a English model originally trained by CHChang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw01_chchang_pipeline_en_5.5.0_3.0_1727093810821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw01_chchang_pipeline_en_5.5.0_3.0_1727093810821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw01_chchang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw01_chchang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw01_chchang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/CHChang/HW01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-interview_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-interview_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..2c4a636fe30db1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-interview_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English interview_classifier_pipeline pipeline DistilBertForSequenceClassification from eskayML
+author: John Snow Labs
+name: interview_classifier_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`interview_classifier_pipeline` is a English model originally trained by eskayML.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/interview_classifier_pipeline_en_5.5.0_3.0_1727073536315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/interview_classifier_pipeline_en_5.5.0_3.0_1727073536315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("interview_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("interview_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|interview_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/eskayML/interview_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-msroberta_en.md b/docs/_posts/ahmedlone127/2024-09-23-msroberta_en.md
new file mode 100644
index 00000000000000..258429c3fe5396
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-msroberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English msroberta RoBertaEmbeddings from nkoh01
+author: John Snow Labs
+name: msroberta
+date: 2024-09-23
+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.`msroberta` is a English model originally trained by nkoh01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/msroberta_en_5.5.0_3.0_1727056610581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/msroberta_en_5.5.0_3.0_1727056610581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|msroberta|
+|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/nkoh01/MSRoberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-nepal_bhasa_pretrained_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-nepal_bhasa_pretrained_model_pipeline_en.md
new file mode 100644
index 00000000000000..75cdb2221090da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-nepal_bhasa_pretrained_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nepal_bhasa_pretrained_model_pipeline pipeline DistilBertForSequenceClassification from Vigneshwaran255
+author: John Snow Labs
+name: nepal_bhasa_pretrained_model_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_pretrained_model_pipeline` is a English model originally trained by Vigneshwaran255.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_pretrained_model_pipeline_en_5.5.0_3.0_1727073871051.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_pretrained_model_pipeline_en_5.5.0_3.0_1727073871051.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nepal_bhasa_pretrained_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nepal_bhasa_pretrained_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_pretrained_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/Vigneshwaran255/new_pretrained_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-newsmodelclassification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-newsmodelclassification_pipeline_en.md
new file mode 100644
index 00000000000000..f0f79a12d9daa9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-newsmodelclassification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English newsmodelclassification_pipeline pipeline DistilBertForSequenceClassification from aatmasidha
+author: John Snow Labs
+name: newsmodelclassification_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`newsmodelclassification_pipeline` is a English model originally trained by aatmasidha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/newsmodelclassification_pipeline_en_5.5.0_3.0_1727082488143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/newsmodelclassification_pipeline_en_5.5.0_3.0_1727082488143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("newsmodelclassification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("newsmodelclassification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|newsmodelclassification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aatmasidha/newsmodelclassification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-pruned_30_model_en.md b/docs/_posts/ahmedlone127/2024-09-23-pruned_30_model_en.md
new file mode 100644
index 00000000000000..0d73bfe7cf3002
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-pruned_30_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English pruned_30_model DistilBertForSequenceClassification from andygoh5
+author: John Snow Labs
+name: pruned_30_model
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pruned_30_model` is a English model originally trained by andygoh5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pruned_30_model_en_5.5.0_3.0_1727082405714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pruned_30_model_en_5.5.0_3.0_1727082405714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model_gigazinie|
+|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/Gigazinie/QA_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-results_yildizt_en.md b/docs/_posts/ahmedlone127/2024-09-23-results_yildizt_en.md
new file mode 100644
index 00000000000000..0f22bd496e293f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-results_yildizt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English results_yildizt DistilBertForSequenceClassification from yildizt
+author: John Snow Labs
+name: results_yildizt
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_yildizt` is a English model originally trained by yildizt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_yildizt_en_5.5.0_3.0_1727087298419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_yildizt_en_5.5.0_3.0_1727087298419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_yildizt|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yildizt/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_base_go_emotions_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_go_emotions_pipeline_en.md
new file mode 100644
index 00000000000000..d9d8845e51ab17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_base_go_emotions_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_go_emotions_pipeline pipeline DistilBertForSequenceClassification from Laddoo
+author: John Snow Labs
+name: roberta_base_go_emotions_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_go_emotions_pipeline` is a English model originally trained by Laddoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_go_emotions_pipeline_en_5.5.0_3.0_1727082400104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_go_emotions_pipeline_en_5.5.0_3.0_1727082400104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_go_emotions_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_go_emotions_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_go_emotions_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Laddoo/roberta-base-go_emotions
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-roberta_nba_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-roberta_nba_v2_pipeline_en.md
new file mode 100644
index 00000000000000..b01f31c4a2e03d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-roberta_nba_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_nba_v2_pipeline pipeline RoBertaForSequenceClassification from sivakarri
+author: John Snow Labs
+name: roberta_nba_v2_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_nba_v2_pipeline` is a English model originally trained by sivakarri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_nba_v2_pipeline_en_5.5.0_3.0_1727055341552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_nba_v2_pipeline_en_5.5.0_3.0_1727055341552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_nba_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_nba_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_nba_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|430.8 MB|
+
+## References
+
+https://huggingface.co/sivakarri/roberta_nba_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_english_spanish_portuguese_cased_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_english_spanish_portuguese_cased_en.md
new file mode 100644
index 00000000000000..fe817582358aa8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_bert_base_english_spanish_portuguese_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_english_spanish_portuguese_cased BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_spanish_portuguese_cased
+date: 2024-09-23
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_spanish_portuguese_cased` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_portuguese_cased_en_5.5.0_3.0_1727091100328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_spanish_portuguese_cased_en_5.5.0_3.0_1727091100328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_spanish_portuguese_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|428.0 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-es-pt-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_biobert_patent_reference_extraction_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_biobert_patent_reference_extraction_pipeline_en.md
new file mode 100644
index 00000000000000..5a8861791845df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_biobert_patent_reference_extraction_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_biobert_patent_reference_extraction_pipeline pipeline BertSentenceEmbeddings from kaesve
+author: John Snow Labs
+name: sent_biobert_patent_reference_extraction_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark 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_biobert_patent_reference_extraction_pipeline` is a English model originally trained by kaesve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_biobert_patent_reference_extraction_pipeline_en_5.5.0_3.0_1727123318667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_biobert_patent_reference_extraction_pipeline_en_5.5.0_3.0_1727123318667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_biobert_patent_reference_extraction_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_biobert_patent_reference_extraction_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_biobert_patent_reference_extraction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/kaesve/BioBERT_patent_reference_extraction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-sent_malay_bert_en.md b/docs/_posts/ahmedlone127/2024-09-23-sent_malay_bert_en.md
new file mode 100644
index 00000000000000..1345e8194cf4c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-sent_malay_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_malay_bert BertSentenceEmbeddings from NLP4H
+author: John Snow Labs
+name: sent_malay_bert
+date: 2024-09-23
+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_malay_bert` is a English model originally trained by NLP4H.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_malay_bert_en_5.5.0_3.0_1727101690378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_malay_bert_en_5.5.0_3.0_1727101690378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_malay_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/NLP4H/ms_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-t_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-t_5_pipeline_en.md
new file mode 100644
index 00000000000000..c635bc0691faab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-t_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English t_5_pipeline pipeline RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t_5_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`t_5_pipeline` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_5_pipeline_en_5.5.0_3.0_1727134804497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_5_pipeline_en_5.5.0_3.0_1727134804497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("t_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("t_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t_5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-test_trainerb2_en.md b/docs/_posts/ahmedlone127/2024-09-23-test_trainerb2_en.md
new file mode 100644
index 00000000000000..55dfb338cb7acd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-test_trainerb2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_trainerb2 DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: test_trainerb2
+date: 2024-09-23
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_trainerb2` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainerb2_en_5.5.0_3.0_1727110741823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainerb2_en_5.5.0_3.0_1727110741823.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_talium|
+|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/Talium/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_german_french_ligerre_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_german_french_ligerre_en.md
new file mode 100644
index 00000000000000..1ede205e533a7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_german_french_ligerre_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_ligerre XlmRoBertaForTokenClassification from ligerre
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_ligerre
+date: 2024-09-23
+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_ligerre` 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_german_french_ligerre_en_5.5.0_3.0_1727132660091.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_ligerre_en_5.5.0_3.0_1727132660091.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_ligerre|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/ligerre/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_italian_ryatora_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_italian_ryatora_pipeline_en.md
new file mode 100644
index 00000000000000..3d900b2d58606f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-23-xlm_roberta_base_finetuned_panx_italian_ryatora_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_ryatora_pipeline pipeline XlmRoBertaForTokenClassification from ryatora
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_ryatora_pipeline
+date: 2024-09-23
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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_ryatora_pipeline` is a English model originally trained by ryatora.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_ryatora_pipeline_en_5.5.0_3.0_1727133354181.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_ryatora_pipeline_en_5.5.0_3.0_1727133354181.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_ryatora_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_ryatora_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_ryatora_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/ryatora/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-albert_news_classification_pipeline_tw.md b/docs/_posts/ahmedlone127/2024-09-24-albert_news_classification_pipeline_tw.md
new file mode 100644
index 00000000000000..75804cb190d33e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-albert_news_classification_pipeline_tw.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Twi albert_news_classification_pipeline pipeline BertForSequenceClassification from clhuang
+author: John Snow Labs
+name: albert_news_classification_pipeline
+date: 2024-09-24
+tags: [tw, open_source, pipeline, onnx]
+task: Text Classification
+language: tw
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_news_classification_pipeline` is a Twi model originally trained by clhuang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_news_classification_pipeline_tw_5.5.0_3.0_1727213609028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_news_classification_pipeline_tw_5.5.0_3.0_1727213609028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_news_classification_pipeline", lang = "tw")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_news_classification_pipeline", lang = "tw")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_news_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tw|
+|Size:|39.8 MB|
+
+## References
+
+https://huggingface.co/clhuang/albert-news-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-albert_test_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-albert_test_model_pipeline_en.md
new file mode 100644
index 00000000000000..b3279ba150ff9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-albert_test_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_test_model_pipeline pipeline DistilBertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: albert_test_model_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_test_model_pipeline` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_test_model_pipeline_en_5.5.0_3.0_1727204801407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_test_model_pipeline_en_5.5.0_3.0_1727204801407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_test_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_test_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_test_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KalaiselvanD/albert_test_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-answer_equivalence_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-answer_equivalence_bert_pipeline_en.md
new file mode 100644
index 00000000000000..3b823d0d26126e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-answer_equivalence_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English answer_equivalence_bert_pipeline pipeline BertForSequenceClassification from zli12321
+author: John Snow Labs
+name: answer_equivalence_bert_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`answer_equivalence_bert_pipeline` is a English model originally trained by zli12321.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/answer_equivalence_bert_pipeline_en_5.5.0_3.0_1727219430880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/answer_equivalence_bert_pipeline_en_5.5.0_3.0_1727219430880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("answer_equivalence_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("answer_equivalence_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|answer_equivalence_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/zli12321/answer_equivalence_bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_german_cased_gnad10_de.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_german_cased_gnad10_de.md
new file mode 100644
index 00000000000000..d748732d4bc8db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_german_cased_gnad10_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German bert_base_german_cased_gnad10 BertForSequenceClassification from laiking
+author: John Snow Labs
+name: bert_base_german_cased_gnad10
+date: 2024-09-24
+tags: [de, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: de
+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_german_cased_gnad10` is a German model originally trained by laiking.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_gnad10_de_5.5.0_3.0_1727214089427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_gnad10_de_5.5.0_3.0_1727214089427.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_gnad10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/laiking/bert-base-german-cased-gnad10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_german_cased_gnad10_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_german_cased_gnad10_pipeline_de.md
new file mode 100644
index 00000000000000..f6c50fdf6457d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_german_cased_gnad10_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German bert_base_german_cased_gnad10_pipeline pipeline BertForSequenceClassification from laiking
+author: John Snow Labs
+name: bert_base_german_cased_gnad10_pipeline
+date: 2024-09-24
+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_gnad10_pipeline` is a German model originally trained by laiking.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_gnad10_pipeline_de_5.5.0_3.0_1727214110542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_gnad10_pipeline_de_5.5.0_3.0_1727214110542.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_gnad10_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_german_cased_gnad10_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_gnad10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/laiking/bert-base-german-cased-gnad10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_paws_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_paws_pipeline_en.md
new file mode 100644
index 00000000000000..3c5655ee5f8f2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_paws_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_paws_pipeline pipeline BertForSequenceClassification from harouzie
+author: John Snow Labs
+name: bert_base_paws_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_paws_pipeline` is a English model originally trained by harouzie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_paws_pipeline_en_5.5.0_3.0_1727218998501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_paws_pipeline_en_5.5.0_3.0_1727218998501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_paws_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_paws_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_paws_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/harouzie/bert-base-paws
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_100_southern_sotho_false_fh_true_hs_0_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_100_southern_sotho_false_fh_true_hs_0_en.md
new file mode 100644
index 00000000000000..7bef16ed85913a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_100_southern_sotho_false_fh_true_hs_0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_100_southern_sotho_false_fh_true_hs_0 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_100_southern_sotho_false_fh_true_hs_0
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_100_southern_sotho_false_fh_true_hs_0` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_100_southern_sotho_false_fh_true_hs_0_en_5.5.0_3.0_1727176161506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_0_b_32_lr_8e_07_dp_0_5_swati_100_southern_sotho_false_fh_true_hs_0_en_5.5.0_3.0_1727176161506.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_0_b_32_lr_8e_07_dp_0_5_swati_100_southern_sotho_false_fh_true_hs_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.0-b-32-lr-8e-07-dp-0.5-ss-100-st-False-fh-True-hs-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
new file mode 100644
index 00000000000000..87c7de51c3ad06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1727175948127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1727175948127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_2_25_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_true_fh_false_hs_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-2.25-b-32-lr-8e-07-dp-0.5-ss-0-st-True-fh-False-hs-0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_2_swati_9119_southern_sotho_false_fh_true_hs_666_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_2_swati_9119_southern_sotho_false_fh_true_hs_666_en.md
new file mode 100644
index 00000000000000..1fcf42cb485518
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_2_swati_9119_southern_sotho_false_fh_true_hs_666_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_2_swati_9119_southern_sotho_false_fh_true_hs_666 BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_2_swati_9119_southern_sotho_false_fh_true_hs_666
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_2_swati_9119_southern_sotho_false_fh_true_hs_666` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_2_swati_9119_southern_sotho_false_fh_true_hs_666_en_5.5.0_3.0_1727175671783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_2_swati_9119_southern_sotho_false_fh_true_hs_666_en_5.5.0_3.0_1727175671783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_1_0_lr_1e_05_wd_0_001_dp_0_2_swati_9119_southern_sotho_false_fh_true_hs_666|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-1.0-lr-1e-05-wd-0.001-dp-0.2-ss-9119-st-False-fh-True-hs-666
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline_en.md
new file mode 100644
index 00000000000000..7a0f926ec7269e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline_en_5.5.0_3.0_1727175371795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline_en_5.5.0_3.0_1727175371795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_0_0001_wd_0_001_dp_0_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-0.0001-wd-0.001-dp-0.4
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_en.md
new file mode 100644
index 00000000000000..98a0efa6c25661
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true
+date: 2024-09-24
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_en_5.5.0_3.0_1727175503289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true_en_5.5.0_3.0_1727175503289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetune_squad_ep_2_0_lr_4e_06_wd_0_01_dp_0_2_swati_0_southern_sotho_true_fh_true|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-finetune-squad-ep-2.0-lr-4e-06-wd-0.01-dp-0.2-ss-0-st-True-fh-True
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_finetuned_arxiv_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_finetuned_arxiv_pipeline_en.md
new file mode 100644
index 00000000000000..65a7ff1f900c89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_finetuned_arxiv_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_arxiv_pipeline pipeline BertForSequenceClassification from AyoubChLin
+author: John Snow Labs
+name: bert_finetuned_arxiv_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_arxiv_pipeline` is a English model originally trained by AyoubChLin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_arxiv_pipeline_en_5.5.0_3.0_1727222243474.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_arxiv_pipeline_en_5.5.0_3.0_1727222243474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_arxiv_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_arxiv_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_arxiv_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/AyoubChLin/bert-finetuned-Arxiv
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-bert_gemma2b_multivllm_nodropsus_0_en.md b/docs/_posts/ahmedlone127/2024-09-24-bert_gemma2b_multivllm_nodropsus_0_en.md
new file mode 100644
index 00000000000000..3832278a6699e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-bert_gemma2b_multivllm_nodropsus_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_gemma2b_multivllm_nodropsus_0 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_gemma2b_multivllm_nodropsus_0
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_gemma2b_multivllm_nodropsus_0` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_gemma2b_multivllm_nodropsus_0_en_5.5.0_3.0_1727164257551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_gemma2b_multivllm_nodropsus_0_en_5.5.0_3.0_1727164257551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_persian_farsi_base_uncased_nlp_course_hw2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|605.8 MB|
+
+## References
+
+https://huggingface.co/iMahdiGhazavi/bert-fa-base-uncased-nlp-course-hw2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-biom_albert_xxlarge_en.md b/docs/_posts/ahmedlone127/2024-09-24-biom_albert_xxlarge_en.md
new file mode 100644
index 00000000000000..7a29cf6a6357cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-biom_albert_xxlarge_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biom_albert_xxlarge AlbertEmbeddings from sultan
+author: John Snow Labs
+name: biom_albert_xxlarge
+date: 2024-09-24
+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.`biom_albert_xxlarge` is a English model originally trained by sultan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biom_albert_xxlarge_en_5.5.0_3.0_1727220219405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biom_albert_xxlarge_en_5.5.0_3.0_1727220219405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biom_albert_xxlarge|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[albert]|
+|Language:|en|
+|Size:|771.2 MB|
+
+## References
+
+https://huggingface.co/sultan/BioM-ALBERT-xxlarge
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_jfunk14_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_jfunk14_pipeline_en.md
new file mode 100644
index 00000000000000..c848f23e13aacd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_jfunk14_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_jfunk14_pipeline pipeline DistilBertForSequenceClassification from jfunk14
+author: John Snow Labs
+name: burmese_awesome_model_jfunk14_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_jfunk14_pipeline` is a English model originally trained by jfunk14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jfunk14_pipeline_en_5.5.0_3.0_1727205045342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jfunk14_pipeline_en_5.5.0_3.0_1727205045342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_jfunk14_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_jfunk14_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_jfunk14_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/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_sid_pas_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_sid_pas_en.md
new file mode 100644
index 00000000000000..0ef8fe6529b310
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_model_sid_pas_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_sid_pas DistilBertForSequenceClassification from Sid-Pas
+author: John Snow Labs
+name: burmese_awesome_model_sid_pas
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_sid_pas` is a English model originally trained by Sid-Pas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sid_pas_en_5.5.0_3.0_1727164589528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_sid_pas_en_5.5.0_3.0_1727164589528.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_sid_pas|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sid-Pas/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_text_classification_jeruan3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_text_classification_jeruan3_pipeline_en.md
new file mode 100644
index 00000000000000..2a0b0c6304b830
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-burmese_awesome_text_classification_jeruan3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_text_classification_jeruan3_pipeline pipeline DistilBertForSequenceClassification from jeruan3
+author: John Snow Labs
+name: burmese_awesome_text_classification_jeruan3_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_text_classification_jeruan3_pipeline` is a English model originally trained by jeruan3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_jeruan3_pipeline_en_5.5.0_3.0_1727154524293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_text_classification_jeruan3_pipeline_en_5.5.0_3.0_1727154524293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_text_classification_jeruan3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_text_classification_jeruan3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_text_classification_jeruan3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/jeruan3/my-awesome-text-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-cl_arabertv0_1_base_33379_arabic_tydiqa_en.md b/docs/_posts/ahmedlone127/2024-09-24-cl_arabertv0_1_base_33379_arabic_tydiqa_en.md
new file mode 100644
index 00000000000000..aedaf44fffce52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-cl_arabertv0_1_base_33379_arabic_tydiqa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cl_arabertv0_1_base_33379_arabic_tydiqa BertForQuestionAnswering from MatMulMan
+author: John Snow Labs
+name: cl_arabertv0_1_base_33379_arabic_tydiqa
+date: 2024-09-24
+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.`cl_arabertv0_1_base_33379_arabic_tydiqa` is a English model originally trained by MatMulMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cl_arabertv0_1_base_33379_arabic_tydiqa_en_5.5.0_3.0_1727216828593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cl_arabertv0_1_base_33379_arabic_tydiqa_en_5.5.0_3.0_1727216828593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cl_arabertv0_1_base_33379_arabic_tydiqa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|505.0 MB|
+
+## References
+
+https://huggingface.co/MatMulMan/CL-AraBERTv0.1-base-33379-arabic_tydiqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-clip_vit_large_patch14_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-clip_vit_large_patch14_pipeline_en.md
new file mode 100644
index 00000000000000..6db48d6aacabcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-clip_vit_large_patch14_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English clip_vit_large_patch14_pipeline pipeline CLIPForZeroShotClassification from openai
+author: John Snow Labs
+name: clip_vit_large_patch14_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clip_vit_large_patch14_pipeline` is a English model originally trained by openai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clip_vit_large_patch14_pipeline_en_5.5.0_3.0_1727208211453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clip_vit_large_patch14_pipeline_en_5.5.0_3.0_1727208211453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clip_vit_large_patch14_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clip_vit_large_patch14_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clip_vit_large_patch14_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/openai/clip-vit-large-patch14
+
+## Included Models
+
+- ImageAssembler
+- CLIPForZeroShotClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-db_mc2_4_1_en.md b/docs/_posts/ahmedlone127/2024-09-24-db_mc2_4_1_en.md
new file mode 100644
index 00000000000000..097ff72ff61fb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-db_mc2_4_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English db_mc2_4_1 DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc2_4_1
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc2_4_1` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc2_4_1_en_5.5.0_3.0_1727137572600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc2_4_1_en_5.5.0_3.0_1727137572600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc2_4_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc2_4.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-db_mc2_4_4_en.md b/docs/_posts/ahmedlone127/2024-09-24-db_mc2_4_4_en.md
new file mode 100644
index 00000000000000..08bf48dd790e6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-db_mc2_4_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English db_mc2_4_4 DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc2_4_4
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc2_4_4` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc2_4_4_en_5.5.0_3.0_1727204896035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc2_4_4_en_5.5.0_3.0_1727204896035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc2_4_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc2_4.4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-disease_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-disease_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..cd60a26ad495a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-disease_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English disease_classifier_pipeline pipeline DistilBertForSequenceClassification from Amirth24
+author: John Snow Labs
+name: disease_classifier_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disease_classifier_pipeline` is a English model originally trained by Amirth24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disease_classifier_pipeline_en_5.5.0_3.0_1727204916319.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disease_classifier_pipeline_en_5.5.0_3.0_1727204916319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("disease_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("disease_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|disease_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|252.6 MB|
+
+## References
+
+https://huggingface.co/Amirth24/disease_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_distilled_clinc_omersubasi_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_distilled_clinc_omersubasi_en.md
new file mode 100644
index 00000000000000..a976054acfdcc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_distilled_clinc_omersubasi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_omersubasi DistilBertForSequenceClassification from omersubasi
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_omersubasi
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_omersubasi` is a English model originally trained by omersubasi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_omersubasi_en_5.5.0_3.0_1727137156024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_omersubasi_en_5.5.0_3.0_1727137156024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_omersubasi|
+|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/omersubasi/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_jlsurdilla_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_jlsurdilla_pipeline_en.md
new file mode 100644
index 00000000000000..6378e38ef727b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_emotion_jlsurdilla_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jlsurdilla_pipeline pipeline DistilBertForSequenceClassification from jlsurdilla
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jlsurdilla_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_jlsurdilla_pipeline` is a English model originally trained by jlsurdilla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jlsurdilla_pipeline_en_5.5.0_3.0_1727137178591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jlsurdilla_pipeline_en_5.5.0_3.0_1727137178591.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_jlsurdilla_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_jlsurdilla_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jlsurdilla_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jlsurdilla/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_en.md
new file mode 100644
index 00000000000000..25fa7d0e03e9b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned DistilBertForQuestionAnswering from stig
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned
+date: 2024-09-24
+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.`distilbert_base_uncased_finetuned` is a English model originally trained by stig.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_en_5.5.0_3.0_1727219908523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_en_5.5.0_3.0_1727219908523.zip){:.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|
+|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/stig/distilbert-base-uncased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..034dc2e87471be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_base_uncased_finetuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_pipeline pipeline DistilBertForQuestionAnswering from madhavpro3
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark 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_pipeline` is a English model originally trained by madhavpro3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pipeline_en_5.5.0_3.0_1727219922010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pipeline_en_5.5.0_3.0_1727219922010.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_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/madhavpro3/distilbert-base-uncased-finetuned
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..9843b6b6a145e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sentiment_pipeline pipeline DistilBertForSequenceClassification from actaylor
+author: John Snow Labs
+name: distilbert_sentiment_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment_pipeline` is a English model originally trained by actaylor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_pipeline_en_5.5.0_3.0_1727136969741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_pipeline_en_5.5.0_3.0_1727136969741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/actaylor/distilbert-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilbert_uncased_newsqa_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilbert_uncased_newsqa_en.md
new file mode 100644
index 00000000000000..b3d7f169a65000
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilbert_uncased_newsqa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_uncased_newsqa DistilBertForQuestionAnswering from Prasetyow12
+author: John Snow Labs
+name: distilbert_uncased_newsqa
+date: 2024-09-24
+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_uncased_newsqa` is a English model originally trained by Prasetyow12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_uncased_newsqa_en_5.5.0_3.0_1727219902839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_uncased_newsqa_en_5.5.0_3.0_1727219902839.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_newsqa|
+|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/Prasetyow12/distilbert-uncased-newsqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-distilroberta_base_finetuned_wikitext2_aekang12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-distilroberta_base_finetuned_wikitext2_aekang12_pipeline_en.md
new file mode 100644
index 00000000000000..40d8205cd63892
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-distilroberta_base_finetuned_wikitext2_aekang12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_finetuned_wikitext2_aekang12_pipeline pipeline RoBertaEmbeddings from aekang12
+author: John Snow Labs
+name: distilroberta_base_finetuned_wikitext2_aekang12_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_finetuned_wikitext2_aekang12_pipeline` is a English model originally trained by aekang12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_wikitext2_aekang12_pipeline_en_5.5.0_3.0_1727168685112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_wikitext2_aekang12_pipeline_en_5.5.0_3.0_1727168685112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_finetuned_wikitext2_aekang12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_finetuned_wikitext2_aekang12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_finetuned_wikitext2_aekang12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/aekang12/distilroberta-base-finetuned-wikitext2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_kaggle_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_kaggle_pipeline_en.md
new file mode 100644
index 00000000000000..a37ccab726e036
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-finetuning_sentiment_model_3000_kaggle_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_kaggle_pipeline pipeline DistilBertForSequenceClassification from Munshid123
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_kaggle_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_kaggle_pipeline` is a English model originally trained by Munshid123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_kaggle_pipeline_en_5.5.0_3.0_1727154732516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_kaggle_pipeline_en_5.5.0_3.0_1727154732516.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_kaggle_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_kaggle_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_kaggle_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Munshid123/finetuning-sentiment-model-3000-kaggle
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-joe_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-joe_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..815936a767bd53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-joe_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English joe_roberta_pipeline pipeline RoBertaForSequenceClassification from Gikubu
+author: John Snow Labs
+name: joe_roberta_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`joe_roberta_pipeline` is a English model originally trained by Gikubu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/joe_roberta_pipeline_en_5.5.0_3.0_1727167643996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/joe_roberta_pipeline_en_5.5.0_3.0_1727167643996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("joe_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("joe_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|joe_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|444.0 MB|
+
+## References
+
+https://huggingface.co/Gikubu/joe_roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-malayalam_qa_model_ml.md b/docs/_posts/ahmedlone127/2024-09-24-malayalam_qa_model_ml.md
new file mode 100644
index 00000000000000..b576b5217fdba6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-malayalam_qa_model_ml.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Malayalam malayalam_qa_model BertForQuestionAnswering from Anitha2020
+author: John Snow Labs
+name: malayalam_qa_model
+date: 2024-09-24
+tags: [ml, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: ml
+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.`malayalam_qa_model` is a Malayalam model originally trained by Anitha2020.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malayalam_qa_model_ml_5.5.0_3.0_1727163188549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malayalam_qa_model_ml_5.5.0_3.0_1727163188549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malayalam_qa_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ml|
+|Size:|890.5 MB|
+
+## References
+
+https://huggingface.co/Anitha2020/Malayalam_QA_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-memo_bert_wsd_memo_bert_danskbert_last_en.md b/docs/_posts/ahmedlone127/2024-09-24-memo_bert_wsd_memo_bert_danskbert_last_en.md
new file mode 100644
index 00000000000000..9f632de7d2e357
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-memo_bert_wsd_memo_bert_danskbert_last_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English memo_bert_wsd_memo_bert_danskbert_last XlmRoBertaForSequenceClassification from yemen2016
+author: John Snow Labs
+name: memo_bert_wsd_memo_bert_danskbert_last
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`memo_bert_wsd_memo_bert_danskbert_last` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_memo_bert_danskbert_last_en_5.5.0_3.0_1727155798955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_memo_bert_danskbert_last_en_5.5.0_3.0_1727155798955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|memo_bert_wsd_memo_bert_danskbert_last|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.3 MB|
+
+## References
+
+https://huggingface.co/yemen2016/MeMo_BERT-WSD-MeMo-BERT-DanskBERT_last
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-n_distilbert_sst5_padding0model_wyzhw_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-n_distilbert_sst5_padding0model_wyzhw_pipeline_en.md
new file mode 100644
index 00000000000000..b78fcacb1f826e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-n_distilbert_sst5_padding0model_wyzhw_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_distilbert_sst5_padding0model_wyzhw_pipeline pipeline DistilBertForSequenceClassification from wyzhw
+author: John Snow Labs
+name: n_distilbert_sst5_padding0model_wyzhw_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+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_sst5_padding0model_wyzhw_pipeline` is a English model originally trained by wyzhw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_distilbert_sst5_padding0model_wyzhw_pipeline_en_5.5.0_3.0_1727136946418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_distilbert_sst5_padding0model_wyzhw_pipeline_en_5.5.0_3.0_1727136946418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_distilbert_sst5_padding0model_wyzhw_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_distilbert_sst5_padding0model_wyzhw_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_distilbert_sst5_padding0model_wyzhw_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wyzhw/N_distilbert_sst5_padding0model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-nerubios_roberta_base_bne_training_testing_en.md b/docs/_posts/ahmedlone127/2024-09-24-nerubios_roberta_base_bne_training_testing_en.md
new file mode 100644
index 00000000000000..7f458cb5810009
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-nerubios_roberta_base_bne_training_testing_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nerubios_roberta_base_bne_training_testing RoBertaForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: nerubios_roberta_base_bne_training_testing
+date: 2024-09-24
+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_testing` 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_testing_en_5.5.0_3.0_1727151553287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerubios_roberta_base_bne_training_testing_en_5.5.0_3.0_1727151553287.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_testing|
+|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_Testing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-portuguese_up_xlmr_contextincluded_idiomexcluded_4_best_en.md b/docs/_posts/ahmedlone127/2024-09-24-portuguese_up_xlmr_contextincluded_idiomexcluded_4_best_en.md
new file mode 100644
index 00000000000000..1f6c9f0555d014
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-portuguese_up_xlmr_contextincluded_idiomexcluded_4_best_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English portuguese_up_xlmr_contextincluded_idiomexcluded_4_best XlmRoBertaForSequenceClassification from harish
+author: John Snow Labs
+name: portuguese_up_xlmr_contextincluded_idiomexcluded_4_best
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`portuguese_up_xlmr_contextincluded_idiomexcluded_4_best` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/portuguese_up_xlmr_contextincluded_idiomexcluded_4_best_en_5.5.0_3.0_1727153414769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/portuguese_up_xlmr_contextincluded_idiomexcluded_4_best_en_5.5.0_3.0_1727153414769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|portuguese_up_xlmr_contextincluded_idiomexcluded_4_best|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|788.2 MB|
+
+## References
+
+https://huggingface.co/harish/PT-UP-xlmR-ContextIncluded_IdiomExcluded-4_BEST
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_base_epoch_24_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_epoch_24_pipeline_en.md
new file mode 100644
index 00000000000000..c811e917c84157
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_base_epoch_24_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_24_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_24_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_epoch_24_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_24_pipeline_en_5.5.0_3.0_1727169409285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_24_pipeline_en_5.5.0_3.0_1727169409285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_24_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_24_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_24_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/yanaiela/roberta-base-epoch_24
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline_en.md
new file mode 100644
index 00000000000000..4e49e270edba09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline pipeline RoBertaForTokenClassification from LionelLow
+author: John Snow Labs
+name: roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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_ner_finetuned_ner_lionellow_pipeline` is a English model originally trained by LionelLow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline_en_5.5.0_3.0_1727150798825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline_en_5.5.0_3.0_1727150798825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_ner_finetuned_ner_lionellow_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/LionelLow/roberta-large-finetuned-ner-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_nli_stsb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_nli_stsb_pipeline_en.md
new file mode 100644
index 00000000000000..1c68eb09aead02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_base_nli_stsb_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_nli_stsb_pipeline pipeline BertSentenceEmbeddings from binwang
+author: John Snow Labs
+name: sent_bert_base_nli_stsb_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_nli_stsb_pipeline` is a English model originally trained by binwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_stsb_pipeline_en_5.5.0_3.0_1727202161554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_stsb_pipeline_en_5.5.0_3.0_1727202161554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_nli_stsb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_nli_stsb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_nli_stsb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.7 MB|
+
+## References
+
+https://huggingface.co/binwang/bert-base-nli-stsb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_bert_multilingial_geolocation_prediction_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_multilingial_geolocation_prediction_en.md
new file mode 100644
index 00000000000000..ee0dd7e748a81a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_bert_multilingial_geolocation_prediction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_multilingial_geolocation_prediction BertSentenceEmbeddings from k4tel
+author: John Snow Labs
+name: sent_bert_multilingial_geolocation_prediction
+date: 2024-09-24
+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_multilingial_geolocation_prediction` is a English model originally trained by k4tel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_multilingial_geolocation_prediction_en_5.5.0_3.0_1727157360417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_multilingial_geolocation_prediction_en_5.5.0_3.0_1727157360417.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_multilingial_geolocation_prediction|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|663.2 MB|
+
+## References
+
+https://huggingface.co/k4tel/bert-multilingial-geolocation-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_mi_bert_base_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_mi_bert_base_en.md
new file mode 100644
index 00000000000000..f9cdbca9ede744
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_mi_bert_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_mi_bert_base BertSentenceEmbeddings from mavinsao
+author: John Snow Labs
+name: sent_mi_bert_base
+date: 2024-09-24
+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_mi_bert_base` is a English model originally trained by mavinsao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_mi_bert_base_en_5.5.0_3.0_1727201981743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_mi_bert_base_en_5.5.0_3.0_1727201981743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mi_bert_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/mavinsao/mi-bert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sent_mi_bert_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sent_mi_bert_base_pipeline_en.md
new file mode 100644
index 00000000000000..c76954355c43ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sent_mi_bert_base_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_mi_bert_base_pipeline pipeline BertSentenceEmbeddings from mavinsao
+author: John Snow Labs
+name: sent_mi_bert_base_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark 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_mi_bert_base_pipeline` is a English model originally trained by mavinsao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_mi_bert_base_pipeline_en_5.5.0_3.0_1727202003330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_mi_bert_base_pipeline_en_5.5.0_3.0_1727202003330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_mi_bert_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_mi_bert_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mi_bert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/mavinsao/mi-bert-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sst2_roberta_large_seed_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-sst2_roberta_large_seed_1_pipeline_en.md
new file mode 100644
index 00000000000000..eafa60e5e310ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sst2_roberta_large_seed_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sst2_roberta_large_seed_1_pipeline pipeline RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: sst2_roberta_large_seed_1_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sst2_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/sst2_roberta_large_seed_1_pipeline_en_5.5.0_3.0_1727167946417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_roberta_large_seed_1_pipeline_en_5.5.0_3.0_1727167946417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sst2_roberta_large_seed_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sst2_roberta_large_seed_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_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/sst2_roberta-large_seed-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-sucidal_text_classification_distillbert_en.md b/docs/_posts/ahmedlone127/2024-09-24-sucidal_text_classification_distillbert_en.md
new file mode 100644
index 00000000000000..8fd62af918c593
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-sucidal_text_classification_distillbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sucidal_text_classification_distillbert DistilBertForSequenceClassification from pradanaadn
+author: John Snow Labs
+name: sucidal_text_classification_distillbert
+date: 2024-09-24
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sucidal_text_classification_distillbert` is a English model originally trained by pradanaadn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sucidal_text_classification_distillbert_en_5.5.0_3.0_1727136820819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sucidal_text_classification_distillbert_en_5.5.0_3.0_1727136820819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sucidal_text_classification_distillbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pradanaadn/sucidal-text-classification-distillbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-tmp0xmacdh7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-tmp0xmacdh7_pipeline_en.md
new file mode 100644
index 00000000000000..e6fbd10c23ea7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-tmp0xmacdh7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tmp0xmacdh7_pipeline pipeline DistilBertForSequenceClassification from NikDiGio
+author: John Snow Labs
+name: tmp0xmacdh7_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tmp0xmacdh7_pipeline` is a English model originally trained by NikDiGio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp0xmacdh7_pipeline_en_5.5.0_3.0_1727154750495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp0xmacdh7_pipeline_en_5.5.0_3.0_1727154750495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tmp0xmacdh7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tmp0xmacdh7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tmp0xmacdh7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/NikDiGio/tmp0xmacdh7
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-twitter_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-twitter_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..1feea72789a917
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-twitter_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_distilbert_pipeline pipeline DistilBertForSequenceClassification from alexray
+author: John Snow Labs
+name: twitter_distilbert_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_distilbert_pipeline` is a English model originally trained by alexray.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_distilbert_pipeline_en_5.5.0_3.0_1727164772795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_distilbert_pipeline_en_5.5.0_3.0_1727164772795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_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/alexray/twitter-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-twitter_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-24-twitter_roberta_base_en.md
new file mode 100644
index 00000000000000..3f21f83d7a1143
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-twitter_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base RoBertaEmbeddings from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base
+date: 2024-09-24
+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_base` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_en_5.5.0_3.0_1727216050744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_en_5.5.0_3.0_1727216050744.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|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-whisper_small_portuguese_pedropauletti_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-24-whisper_small_portuguese_pedropauletti_pipeline_pt.md
new file mode 100644
index 00000000000000..62fcfbed4c54d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-whisper_small_portuguese_pedropauletti_pipeline_pt.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Portuguese whisper_small_portuguese_pedropauletti_pipeline pipeline WhisperForCTC from pedropauletti
+author: John Snow Labs
+name: whisper_small_portuguese_pedropauletti_pipeline
+date: 2024-09-24
+tags: [pt, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_portuguese_pedropauletti_pipeline` is a Portuguese model originally trained by pedropauletti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_pedropauletti_pipeline_pt_5.5.0_3.0_1727194290133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_pedropauletti_pipeline_pt_5.5.0_3.0_1727194290133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_portuguese_pedropauletti_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_portuguese_pedropauletti_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_portuguese_pedropauletti_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/pedropauletti/whisper-small-pt
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_all_amitjain171980_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_all_amitjain171980_pipeline_en.md
new file mode 100644
index 00000000000000..4d429d5b845b9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_all_amitjain171980_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_amitjain171980_pipeline pipeline XlmRoBertaForTokenClassification from amitjain171980
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_amitjain171980_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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_amitjain171980_pipeline` 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_all_amitjain171980_pipeline_en_5.5.0_3.0_1727160372519.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_amitjain171980_pipeline_en_5.5.0_3.0_1727160372519.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_amitjain171980_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_amitjain171980_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_amitjain171980_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|856.0 MB|
+
+## References
+
+https://huggingface.co/amitjain171980/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_english_khadija267_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_english_khadija267_pipeline_en.md
new file mode 100644
index 00000000000000..ecb4210e787e8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_finetuned_panx_english_khadija267_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_khadija267_pipeline pipeline XlmRoBertaForTokenClassification from khadija267
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_khadija267_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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_khadija267_pipeline` is a English model originally trained by khadija267.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_khadija267_pipeline_en_5.5.0_3.0_1727160987979.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_khadija267_pipeline_en_5.5.0_3.0_1727160987979.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_khadija267_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_khadija267_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_khadija267_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/khadija267/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_russian_sentiment_liniscrowd_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_russian_sentiment_liniscrowd_pipeline_en.md
new file mode 100644
index 00000000000000..c8143372c4c3e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-24-xlm_roberta_base_russian_sentiment_liniscrowd_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_russian_sentiment_liniscrowd_pipeline pipeline XlmRoBertaForSequenceClassification from sismetanin
+author: John Snow Labs
+name: xlm_roberta_base_russian_sentiment_liniscrowd_pipeline
+date: 2024-09-24
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_russian_sentiment_liniscrowd_pipeline` is a English model originally trained by sismetanin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_russian_sentiment_liniscrowd_pipeline_en_5.5.0_3.0_1727152827634.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_russian_sentiment_liniscrowd_pipeline_en_5.5.0_3.0_1727152827634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_russian_sentiment_liniscrowd_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_russian_sentiment_liniscrowd_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_russian_sentiment_liniscrowd_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|800.0 MB|
+
+## References
+
+https://huggingface.co/sismetanin/xlm_roberta_base-ru-sentiment-liniscrowd
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-0329files_zh.md b/docs/_posts/ahmedlone127/2024-09-25-0329files_zh.md
new file mode 100644
index 00000000000000..7d75409943aec3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-0329files_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese 0329files BertForTokenClassification from sothisai1
+author: John Snow Labs
+name: 0329files
+date: 2024-09-25
+tags: [zh, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`0329files` is a Chinese model originally trained by sothisai1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/0329files_zh_5.5.0_3.0_1727284130770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/0329files_zh_5.5.0_3.0_1727284130770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|0329files|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|406.1 MB|
+
+## References
+
+https://huggingface.co/sothisai1/0329files
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-20230817010018_en.md b/docs/_posts/ahmedlone127/2024-09-25-20230817010018_en.md
new file mode 100644
index 00000000000000..85a3891c616d29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-20230817010018_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 20230817010018 BertForSequenceClassification from Onutoa
+author: John Snow Labs
+name: 20230817010018
+date: 2024-09-25
+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.`20230817010018` is a English model originally trained by Onutoa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20230817010018_en_5.5.0_3.0_1727290852517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20230817010018_en_5.5.0_3.0_1727290852517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|20230817010018|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Onutoa/20230817010018
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-20230817010018_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-20230817010018_pipeline_en.md
new file mode 100644
index 00000000000000..459d3165a50e66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-20230817010018_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 20230817010018_pipeline pipeline BertForSequenceClassification from Onutoa
+author: John Snow Labs
+name: 20230817010018_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`20230817010018_pipeline` is a English model originally trained by Onutoa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20230817010018_pipeline_en_5.5.0_3.0_1727290920029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20230817010018_pipeline_en_5.5.0_3.0_1727290920029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("20230817010018_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("20230817010018_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|20230817010018_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Onutoa/20230817010018
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-2d_oomv2_800_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-2d_oomv2_800_pipeline_en.md
new file mode 100644
index 00000000000000..4d2984b0e560b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-2d_oomv2_800_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2d_oomv2_800_pipeline pipeline BertForSequenceClassification from abbassix
+author: John Snow Labs
+name: 2d_oomv2_800_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`2d_oomv2_800_pipeline` is a English model originally trained by abbassix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2d_oomv2_800_pipeline_en_5.5.0_3.0_1727288396946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2d_oomv2_800_pipeline_en_5.5.0_3.0_1727288396946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2d_oomv2_800_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2d_oomv2_800_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2d_oomv2_800_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/abbassix/2d_oomv2_800
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-aak_bert_base_cased_cpc_ricardo_talavera_en.md b/docs/_posts/ahmedlone127/2024-09-25-aak_bert_base_cased_cpc_ricardo_talavera_en.md
new file mode 100644
index 00000000000000..aaf9973106166d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-aak_bert_base_cased_cpc_ricardo_talavera_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English aak_bert_base_cased_cpc_ricardo_talavera BertForSequenceClassification from nishan007
+author: John Snow Labs
+name: aak_bert_base_cased_cpc_ricardo_talavera
+date: 2024-09-25
+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.`aak_bert_base_cased_cpc_ricardo_talavera` is a English model originally trained by nishan007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aak_bert_base_cased_cpc_ricardo_talavera_en_5.5.0_3.0_1727286358287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aak_bert_base_cased_cpc_ricardo_talavera_en_5.5.0_3.0_1727286358287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aak_bert_base_cased_cpc_ricardo_talavera|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/nishan007/aak-bert-base-cased-cpc-ricardo-talavera
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-acronyms_baseline_vert_correct_clinicalbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-acronyms_baseline_vert_correct_clinicalbert_pipeline_en.md
new file mode 100644
index 00000000000000..2ed3868fcad9da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-acronyms_baseline_vert_correct_clinicalbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English acronyms_baseline_vert_correct_clinicalbert_pipeline pipeline BertForSequenceClassification from Wiggily
+author: John Snow Labs
+name: acronyms_baseline_vert_correct_clinicalbert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`acronyms_baseline_vert_correct_clinicalbert_pipeline` is a English model originally trained by Wiggily.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/acronyms_baseline_vert_correct_clinicalbert_pipeline_en_5.5.0_3.0_1727245413365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/acronyms_baseline_vert_correct_clinicalbert_pipeline_en_5.5.0_3.0_1727245413365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("acronyms_baseline_vert_correct_clinicalbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("acronyms_baseline_vert_correct_clinicalbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|acronyms_baseline_vert_correct_clinicalbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.6 MB|
+
+## References
+
+https://huggingface.co/Wiggily/acronyms_baseline_vert_correct_clinicalbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ad_kd_bert_base_uncased_mrpc_en.md b/docs/_posts/ahmedlone127/2024-09-25-ad_kd_bert_base_uncased_mrpc_en.md
new file mode 100644
index 00000000000000..9b8a27c91ed1b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ad_kd_bert_base_uncased_mrpc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ad_kd_bert_base_uncased_mrpc BertForSequenceClassification from Brucewsy
+author: John Snow Labs
+name: ad_kd_bert_base_uncased_mrpc
+date: 2024-09-25
+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.`ad_kd_bert_base_uncased_mrpc` is a English model originally trained by Brucewsy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_kd_bert_base_uncased_mrpc_en_5.5.0_3.0_1727285812732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_kd_bert_base_uncased_mrpc_en_5.5.0_3.0_1727285812732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ad_kd_bert_base_uncased_mrpc|
+|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/Brucewsy/AD-KD_bert_base_uncased_mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ad_kd_bert_base_uncased_qqp_en.md b/docs/_posts/ahmedlone127/2024-09-25-ad_kd_bert_base_uncased_qqp_en.md
new file mode 100644
index 00000000000000..3cf1540c2ecfb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ad_kd_bert_base_uncased_qqp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ad_kd_bert_base_uncased_qqp BertForSequenceClassification from Brucewsy
+author: John Snow Labs
+name: ad_kd_bert_base_uncased_qqp
+date: 2024-09-25
+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.`ad_kd_bert_base_uncased_qqp` is a English model originally trained by Brucewsy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_kd_bert_base_uncased_qqp_en_5.5.0_3.0_1727291311427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_kd_bert_base_uncased_qqp_en_5.5.0_3.0_1727291311427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ad_kd_bert_base_uncased_qqp|
+|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/Brucewsy/AD-KD_bert_base_uncased_qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ad_kd_bert_base_uncased_qqp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-ad_kd_bert_base_uncased_qqp_pipeline_en.md
new file mode 100644
index 00000000000000..19b144a83a7984
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ad_kd_bert_base_uncased_qqp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ad_kd_bert_base_uncased_qqp_pipeline pipeline BertForSequenceClassification from Brucewsy
+author: John Snow Labs
+name: ad_kd_bert_base_uncased_qqp_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ad_kd_bert_base_uncased_qqp_pipeline` is a English model originally trained by Brucewsy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_kd_bert_base_uncased_qqp_pipeline_en_5.5.0_3.0_1727291333754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_kd_bert_base_uncased_qqp_pipeline_en_5.5.0_3.0_1727291333754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ad_kd_bert_base_uncased_qqp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ad_kd_bert_base_uncased_qqp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ad_kd_bert_base_uncased_qqp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Brucewsy/AD-KD_bert_base_uncased_qqp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-adapmit_multilabel_bge_f_en.md b/docs/_posts/ahmedlone127/2024-09-25-adapmit_multilabel_bge_f_en.md
new file mode 100644
index 00000000000000..3a3fc3d17fd075
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-adapmit_multilabel_bge_f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English adapmit_multilabel_bge_f BertForSequenceClassification from GIZ
+author: John Snow Labs
+name: adapmit_multilabel_bge_f
+date: 2024-09-25
+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.`adapmit_multilabel_bge_f` is a English model originally trained by GIZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adapmit_multilabel_bge_f_en_5.5.0_3.0_1727289580372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adapmit_multilabel_bge_f_en_5.5.0_3.0_1727289580372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adapmit_multilabel_bge_f|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|396.7 MB|
+
+## References
+
+https://huggingface.co/GIZ/ADAPMIT-multilabel-bge_f
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-adapmit_multilabel_bge_f_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-adapmit_multilabel_bge_f_pipeline_en.md
new file mode 100644
index 00000000000000..8bea00ad127003
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-adapmit_multilabel_bge_f_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English adapmit_multilabel_bge_f_pipeline pipeline BertForSequenceClassification from GIZ
+author: John Snow Labs
+name: adapmit_multilabel_bge_f_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`adapmit_multilabel_bge_f_pipeline` is a English model originally trained by GIZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adapmit_multilabel_bge_f_pipeline_en_5.5.0_3.0_1727289602886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adapmit_multilabel_bge_f_pipeline_en_5.5.0_3.0_1727289602886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("adapmit_multilabel_bge_f_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("adapmit_multilabel_bge_f_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adapmit_multilabel_bge_f_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|396.7 MB|
+
+## References
+
+https://huggingface.co/GIZ/ADAPMIT-multilabel-bge_f
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-advance_bert_classification_en.md b/docs/_posts/ahmedlone127/2024-09-25-advance_bert_classification_en.md
new file mode 100644
index 00000000000000..db89c5ba81d0fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-advance_bert_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English advance_bert_classification BertForSequenceClassification from Kurkur99
+author: John Snow Labs
+name: advance_bert_classification
+date: 2024-09-25
+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.`advance_bert_classification` is a English model originally trained by Kurkur99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/advance_bert_classification_en_5.5.0_3.0_1727269930905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/advance_bert_classification_en_5.5.0_3.0_1727269930905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|advance_bert_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.1 MB|
+
+## References
+
+https://huggingface.co/Kurkur99/Advance_Bert_Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ag_news_19200_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-25-ag_news_19200_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..7f0caa1e93b050
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ag_news_19200_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ag_news_19200_bert_base_uncased BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: ag_news_19200_bert_base_uncased
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ag_news_19200_bert_base_uncased` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_19200_bert_base_uncased_en_5.5.0_3.0_1727299604856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_19200_bert_base_uncased_en_5.5.0_3.0_1727299604856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_19200_bert_base_uncased|
+|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/Kyle1668/ag-news-19200-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ag_news_19200_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-ag_news_19200_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..55ac060d1237cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ag_news_19200_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ag_news_19200_bert_base_uncased_pipeline pipeline BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: ag_news_19200_bert_base_uncased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ag_news_19200_bert_base_uncased_pipeline` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_19200_bert_base_uncased_pipeline_en_5.5.0_3.0_1727299627759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_19200_bert_base_uncased_pipeline_en_5.5.0_3.0_1727299627759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ag_news_19200_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ag_news_19200_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_19200_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kyle1668/ag-news-19200-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ag_news_9600_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-25-ag_news_9600_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..922cf373d049aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ag_news_9600_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ag_news_9600_bert_base_uncased BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: ag_news_9600_bert_base_uncased
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ag_news_9600_bert_base_uncased` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_9600_bert_base_uncased_en_5.5.0_3.0_1727300086729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_9600_bert_base_uncased_en_5.5.0_3.0_1727300086729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_9600_bert_base_uncased|
+|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/Kyle1668/ag-news-9600-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ag_news_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-ag_news_classification_pipeline_en.md
new file mode 100644
index 00000000000000..c41855c214c5a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ag_news_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ag_news_classification_pipeline pipeline BertForSequenceClassification from shed-e
+author: John Snow Labs
+name: ag_news_classification_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ag_news_classification_pipeline` is a English model originally trained by shed-e.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_classification_pipeline_en_5.5.0_3.0_1727279460022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_classification_pipeline_en_5.5.0_3.0_1727279460022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ag_news_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ag_news_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/shed-e/ag_news-Classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-albert_base_chinese_finetuned_qqp_fhtm_5x_weak_en.md b/docs/_posts/ahmedlone127/2024-09-25-albert_base_chinese_finetuned_qqp_fhtm_5x_weak_en.md
new file mode 100644
index 00000000000000..c5f2eded59055e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-albert_base_chinese_finetuned_qqp_fhtm_5x_weak_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_base_chinese_finetuned_qqp_fhtm_5x_weak BertForSequenceClassification from r10521708
+author: John Snow Labs
+name: albert_base_chinese_finetuned_qqp_fhtm_5x_weak
+date: 2024-09-25
+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.`albert_base_chinese_finetuned_qqp_fhtm_5x_weak` is a English model originally trained by r10521708.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_chinese_finetuned_qqp_fhtm_5x_weak_en_5.5.0_3.0_1727301436927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_chinese_finetuned_qqp_fhtm_5x_weak_en_5.5.0_3.0_1727301436927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_chinese_finetuned_qqp_fhtm_5x_weak|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|39.8 MB|
+
+## References
+
+https://huggingface.co/r10521708/albert-base-chinese-finetuned-qqp-FHTM-5x-weak
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline_en.md
new file mode 100644
index 00000000000000..980705187fc172
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline pipeline BertForSequenceClassification from r10521708
+author: John Snow Labs
+name: albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline` is a English model originally trained by r10521708.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline_en_5.5.0_3.0_1727301439790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline_en_5.5.0_3.0_1727301439790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_chinese_finetuned_qqp_fhtm_5x_weak_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|39.8 MB|
+
+## References
+
+https://huggingface.co/r10521708/albert-base-chinese-finetuned-qqp-FHTM-5x-weak
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-albert_base_chinese_finetuned_test_qqp_en.md b/docs/_posts/ahmedlone127/2024-09-25-albert_base_chinese_finetuned_test_qqp_en.md
new file mode 100644
index 00000000000000..3f5edbc0cf2041
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-albert_base_chinese_finetuned_test_qqp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_base_chinese_finetuned_test_qqp BertForSequenceClassification from r10521708
+author: John Snow Labs
+name: albert_base_chinese_finetuned_test_qqp
+date: 2024-09-25
+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.`albert_base_chinese_finetuned_test_qqp` is a English model originally trained by r10521708.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_chinese_finetuned_test_qqp_en_5.5.0_3.0_1727305260524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_chinese_finetuned_test_qqp_en_5.5.0_3.0_1727305260524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_chinese_finetuned_test_qqp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|39.8 MB|
+
+## References
+
+https://huggingface.co/r10521708/albert-base-chinese-finetuned-test-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-albert_chinese_small_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-25-albert_chinese_small_sentiment_en.md
new file mode 100644
index 00000000000000..6c03013610f78e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-albert_chinese_small_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_chinese_small_sentiment BertForSequenceClassification from voidful
+author: John Snow Labs
+name: albert_chinese_small_sentiment
+date: 2024-09-25
+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.`albert_chinese_small_sentiment` is a English model originally trained by voidful.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_chinese_small_sentiment_en_5.5.0_3.0_1727295462689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_chinese_small_sentiment_en_5.5.0_3.0_1727295462689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_chinese_small_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|18.0 MB|
+
+## References
+
+https://huggingface.co/voidful/albert_chinese_small_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-albert_chinese_small_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-albert_chinese_small_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..3811e16af6eac9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-albert_chinese_small_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_chinese_small_sentiment_pipeline pipeline BertForSequenceClassification from voidful
+author: John Snow Labs
+name: albert_chinese_small_sentiment_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_chinese_small_sentiment_pipeline` is a English model originally trained by voidful.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_chinese_small_sentiment_pipeline_en_5.5.0_3.0_1727295464029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_chinese_small_sentiment_pipeline_en_5.5.0_3.0_1727295464029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_chinese_small_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_chinese_small_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_chinese_small_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|18.0 MB|
+
+## References
+
+https://huggingface.co/voidful/albert_chinese_small_sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-alberti128b128l_en.md b/docs/_posts/ahmedlone127/2024-09-25-alberti128b128l_en.md
new file mode 100644
index 00000000000000..c39a6b9e4434f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-alberti128b128l_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English alberti128b128l BertForSequenceClassification from IvashinMaxim
+author: John Snow Labs
+name: alberti128b128l
+date: 2024-09-25
+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.`alberti128b128l` is a English model originally trained by IvashinMaxim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alberti128b128l_en_5.5.0_3.0_1727297577508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alberti128b128l_en_5.5.0_3.0_1727297577508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alberti128b128l|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|666.6 MB|
+
+## References
+
+https://huggingface.co/IvashinMaxim/alberti128b128l
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-arabert_emotions_classification_en.md b/docs/_posts/ahmedlone127/2024-09-25-arabert_emotions_classification_en.md
new file mode 100644
index 00000000000000..6ec5e3ea7078f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-arabert_emotions_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English arabert_emotions_classification BertForSequenceClassification from Yousefmd
+author: John Snow Labs
+name: arabert_emotions_classification
+date: 2024-09-25
+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.`arabert_emotions_classification` is a English model originally trained by Yousefmd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_emotions_classification_en_5.5.0_3.0_1727291075245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_emotions_classification_en_5.5.0_3.0_1727291075245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_emotions_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/Yousefmd/arabert-emotions-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-arabert_emotions_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-arabert_emotions_classification_pipeline_en.md
new file mode 100644
index 00000000000000..b85a99afdde2e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-arabert_emotions_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English arabert_emotions_classification_pipeline pipeline BertForSequenceClassification from Yousefmd
+author: John Snow Labs
+name: arabert_emotions_classification_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_emotions_classification_pipeline` is a English model originally trained by Yousefmd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_emotions_classification_pipeline_en_5.5.0_3.0_1727291146641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_emotions_classification_pipeline_en_5.5.0_3.0_1727291146641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabert_emotions_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabert_emotions_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_emotions_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/Yousefmd/arabert-emotions-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-arabert_en.md b/docs/_posts/ahmedlone127/2024-09-25-arabert_en.md
new file mode 100644
index 00000000000000..414556448d7fd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-arabert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English arabert BertForSequenceClassification from jaimin
+author: John Snow Labs
+name: arabert
+date: 2024-09-25
+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.`arabert` is a English model originally trained by jaimin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_en_5.5.0_3.0_1727297144995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_en_5.5.0_3.0_1727297144995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/jaimin/AraBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-arabert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-arabert_pipeline_en.md
new file mode 100644
index 00000000000000..b802afd484da05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-arabert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English arabert_pipeline pipeline BertForSequenceClassification from jaimin
+author: John Snow Labs
+name: arabert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_pipeline` is a English model originally trained by jaimin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_pipeline_en_5.5.0_3.0_1727297172662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_pipeline_en_5.5.0_3.0_1727297172662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/jaimin/AraBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-autonlp_vaccinfaq_22144706_en.md b/docs/_posts/ahmedlone127/2024-09-25-autonlp_vaccinfaq_22144706_en.md
new file mode 100644
index 00000000000000..4dc79da8b08d5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-autonlp_vaccinfaq_22144706_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autonlp_vaccinfaq_22144706 BertForSequenceClassification from Jeska
+author: John Snow Labs
+name: autonlp_vaccinfaq_22144706
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_vaccinfaq_22144706` is a English model originally trained by Jeska.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_vaccinfaq_22144706_en_5.5.0_3.0_1727304276113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_vaccinfaq_22144706_en_5.5.0_3.0_1727304276113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autonlp_vaccinfaq_22144706|
+|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/Jeska/autonlp-vaccinfaq-22144706
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-autonlp_vaccinfaq_22144706_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-autonlp_vaccinfaq_22144706_pipeline_en.md
new file mode 100644
index 00000000000000..6eb1d8ad6708cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-autonlp_vaccinfaq_22144706_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autonlp_vaccinfaq_22144706_pipeline pipeline BertForSequenceClassification from Jeska
+author: John Snow Labs
+name: autonlp_vaccinfaq_22144706_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`autonlp_vaccinfaq_22144706_pipeline` is a English model originally trained by Jeska.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_vaccinfaq_22144706_pipeline_en_5.5.0_3.0_1727304298178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_vaccinfaq_22144706_pipeline_en_5.5.0_3.0_1727304298178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autonlp_vaccinfaq_22144706_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autonlp_vaccinfaq_22144706_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autonlp_vaccinfaq_22144706_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Jeska/autonlp-vaccinfaq-22144706
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-autotrain_bertbase_imdb_1275748792_en.md b/docs/_posts/ahmedlone127/2024-09-25-autotrain_bertbase_imdb_1275748792_en.md
new file mode 100644
index 00000000000000..8f2a66531cec33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-autotrain_bertbase_imdb_1275748792_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_bertbase_imdb_1275748792 BertForSequenceClassification from sasha
+author: John Snow Labs
+name: autotrain_bertbase_imdb_1275748792
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_bertbase_imdb_1275748792` is a English model originally trained by sasha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_bertbase_imdb_1275748792_en_5.5.0_3.0_1727277463938.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_bertbase_imdb_1275748792_en_5.5.0_3.0_1727277463938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_bertbase_imdb_1275748792|
+|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/sasha/autotrain-BERTBase-imdb-1275748792
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-autotrain_chuvash_resume_56492130967_en.md b/docs/_posts/ahmedlone127/2024-09-25-autotrain_chuvash_resume_56492130967_en.md
new file mode 100644
index 00000000000000..403cfcef7c5691
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-autotrain_chuvash_resume_56492130967_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_chuvash_resume_56492130967 BertForSequenceClassification from guriko
+author: John Snow Labs
+name: autotrain_chuvash_resume_56492130967
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_chuvash_resume_56492130967` is a English model originally trained by guriko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_chuvash_resume_56492130967_en_5.5.0_3.0_1727288128765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_chuvash_resume_56492130967_en_5.5.0_3.0_1727288128765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_chuvash_resume_56492130967|
+|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/guriko/autotrain-cv_resume-56492130967
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-baseline_bert_50k_steps_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-baseline_bert_50k_steps_pipeline_en.md
new file mode 100644
index 00000000000000..fa2fda4960bccf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-baseline_bert_50k_steps_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English baseline_bert_50k_steps_pipeline pipeline BertForSequenceClassification from jordyvl
+author: John Snow Labs
+name: baseline_bert_50k_steps_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`baseline_bert_50k_steps_pipeline` is a English model originally trained by jordyvl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/baseline_bert_50k_steps_pipeline_en_5.5.0_3.0_1727304576476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/baseline_bert_50k_steps_pipeline_en_5.5.0_3.0_1727304576476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("baseline_bert_50k_steps_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("baseline_bert_50k_steps_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|baseline_bert_50k_steps_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/jordyvl/baseline_BERT_50K_steps
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bcms_bertic_parlasent_bcs_bislama_hr.md b/docs/_posts/ahmedlone127/2024-09-25-bcms_bertic_parlasent_bcs_bislama_hr.md
new file mode 100644
index 00000000000000..11f85cc4aeac33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bcms_bertic_parlasent_bcs_bislama_hr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Croatian bcms_bertic_parlasent_bcs_bislama BertForSequenceClassification from classla
+author: John Snow Labs
+name: bcms_bertic_parlasent_bcs_bislama
+date: 2024-09-25
+tags: [hr, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: hr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bcms_bertic_parlasent_bcs_bislama` is a Croatian model originally trained by classla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bcms_bertic_parlasent_bcs_bislama_hr_5.5.0_3.0_1727301525886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bcms_bertic_parlasent_bcs_bislama_hr_5.5.0_3.0_1727301525886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bengali_topic_all_doc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|bn|
+|Size:|892.8 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/bengali-topic-all-doc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_arabertv02_tydi_tafseer_pairs_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_arabertv02_tydi_tafseer_pairs_en.md
new file mode 100644
index 00000000000000..0fcd66cf121af6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_arabertv02_tydi_tafseer_pairs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_arabertv02_tydi_tafseer_pairs BertForSequenceClassification from MatMulMan
+author: John Snow Labs
+name: bert_base_arabertv02_tydi_tafseer_pairs
+date: 2024-09-25
+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_arabertv02_tydi_tafseer_pairs` is a English model originally trained by MatMulMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_tydi_tafseer_pairs_en_5.5.0_3.0_1727297371015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_tydi_tafseer_pairs_en_5.5.0_3.0_1727297371015.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_arabertv02_tydi_tafseer_pairs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/MatMulMan/bert-base-arabertv02-tydi-tafseer-pairs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_arabertv02_tydi_tafseer_pairs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_arabertv02_tydi_tafseer_pairs_pipeline_en.md
new file mode 100644
index 00000000000000..1177b775d4b5e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_arabertv02_tydi_tafseer_pairs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_arabertv02_tydi_tafseer_pairs_pipeline pipeline BertForSequenceClassification from MatMulMan
+author: John Snow Labs
+name: bert_base_arabertv02_tydi_tafseer_pairs_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_arabertv02_tydi_tafseer_pairs_pipeline` is a English model originally trained by MatMulMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_tydi_tafseer_pairs_pipeline_en_5.5.0_3.0_1727297398783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabertv02_tydi_tafseer_pairs_pipeline_en_5.5.0_3.0_1727297398783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_arabertv02_tydi_tafseer_pairs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_arabertv02_tydi_tafseer_pairs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabertv02_tydi_tafseer_pairs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/MatMulMan/bert-base-arabertv02-tydi-tafseer-pairs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_arabic_emotion_analysis_v3_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_arabic_emotion_analysis_v3_en.md
new file mode 100644
index 00000000000000..5463d7d56e083b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_arabic_emotion_analysis_v3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_arabic_emotion_analysis_v3 BertForSequenceClassification from alpcansoydas
+author: John Snow Labs
+name: bert_base_arabic_emotion_analysis_v3
+date: 2024-09-25
+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_v3` 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_v3_en_5.5.0_3.0_1727291326769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabic_emotion_analysis_v3_en_5.5.0_3.0_1727291326769.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_arabic_emotion_analysis_v3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.2 MB|
+
+## References
+
+https://huggingface.co/alpcansoydas/bert-base-arabic-emotion-analysis-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_b2b_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_b2b_en.md
new file mode 100644
index 00000000000000..4d06875aef47c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_b2b_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_b2b BertForSequenceClassification from Egel
+author: John Snow Labs
+name: bert_base_b2b
+date: 2024-09-25
+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_b2b` is a English model originally trained by Egel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_b2b_en_5.5.0_3.0_1727272765484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_b2b_en_5.5.0_3.0_1727272765484.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_b2b|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.7 MB|
+
+## References
+
+https://huggingface.co/Egel/bert-base-b2b
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_b2b_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_b2b_pipeline_en.md
new file mode 100644
index 00000000000000..f65923067f6c61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_b2b_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_b2b_pipeline pipeline BertForSequenceClassification from Egel
+author: John Snow Labs
+name: bert_base_b2b_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_b2b_pipeline` is a English model originally trained by Egel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_b2b_pipeline_en_5.5.0_3.0_1727272801300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_b2b_pipeline_en_5.5.0_3.0_1727272801300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_b2b_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_b2b_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_b2b_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.7 MB|
+
+## References
+
+https://huggingface.co/Egel/bert-base-b2b
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_a_grishman_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_a_grishman_en.md
new file mode 100644
index 00000000000000..a4072063d844d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_a_grishman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_a_grishman BertForSequenceClassification from a-grishman
+author: John Snow Labs
+name: bert_base_banking77_pt2_a_grishman
+date: 2024-09-25
+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_banking77_pt2_a_grishman` is a English model originally trained by a-grishman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_a_grishman_en_5.5.0_3.0_1727292218511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_a_grishman_en_5.5.0_3.0_1727292218511.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_banking77_pt2_a_grishman|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/a-grishman/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_a_grishman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_a_grishman_pipeline_en.md
new file mode 100644
index 00000000000000..dcaf8cfd64d84d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_a_grishman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_a_grishman_pipeline pipeline BertForSequenceClassification from a-grishman
+author: John Snow Labs
+name: bert_base_banking77_pt2_a_grishman_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_a_grishman_pipeline` is a English model originally trained by a-grishman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_a_grishman_pipeline_en_5.5.0_3.0_1727292240209.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_a_grishman_pipeline_en_5.5.0_3.0_1727292240209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_a_grishman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_a_grishman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_a_grishman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/a-grishman/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_andriydovgal_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_andriydovgal_pipeline_en.md
new file mode 100644
index 00000000000000..46e0c1aa5dc7d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_andriydovgal_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_andriydovgal_pipeline pipeline BertForSequenceClassification from andriydovgal
+author: John Snow Labs
+name: bert_base_banking77_pt2_andriydovgal_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_andriydovgal_pipeline` is a English model originally trained by andriydovgal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_andriydovgal_pipeline_en_5.5.0_3.0_1727267289273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_andriydovgal_pipeline_en_5.5.0_3.0_1727267289273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_andriydovgal_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_andriydovgal_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_andriydovgal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/andriydovgal/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_davinnnnn_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_davinnnnn_en.md
new file mode 100644
index 00000000000000..77be3ac1591266
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_davinnnnn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_davinnnnn BertForSequenceClassification from davinnnnn
+author: John Snow Labs
+name: bert_base_banking77_pt2_davinnnnn
+date: 2024-09-25
+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_banking77_pt2_davinnnnn` is a English model originally trained by davinnnnn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_davinnnnn_en_5.5.0_3.0_1727288231537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_davinnnnn_en_5.5.0_3.0_1727288231537.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_banking77_pt2_davinnnnn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/davinnnnn/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_davinnnnn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_davinnnnn_pipeline_en.md
new file mode 100644
index 00000000000000..83c384d462ab62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_davinnnnn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_davinnnnn_pipeline pipeline BertForSequenceClassification from davinnnnn
+author: John Snow Labs
+name: bert_base_banking77_pt2_davinnnnn_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_davinnnnn_pipeline` is a English model originally trained by davinnnnn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_davinnnnn_pipeline_en_5.5.0_3.0_1727288252110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_davinnnnn_pipeline_en_5.5.0_3.0_1727288252110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_davinnnnn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_davinnnnn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_davinnnnn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/davinnnnn/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_gchauhan_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_gchauhan_en.md
new file mode 100644
index 00000000000000..a3634bef3d71db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_gchauhan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_gchauhan BertForSequenceClassification from gchauhan
+author: John Snow Labs
+name: bert_base_banking77_pt2_gchauhan
+date: 2024-09-25
+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_banking77_pt2_gchauhan` is a English model originally trained by gchauhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_gchauhan_en_5.5.0_3.0_1727306908353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_gchauhan_en_5.5.0_3.0_1727306908353.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_banking77_pt2_gchauhan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/gchauhan/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_gchauhan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_gchauhan_pipeline_en.md
new file mode 100644
index 00000000000000..62661003d66786
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_gchauhan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_gchauhan_pipeline pipeline BertForSequenceClassification from gchauhan
+author: John Snow Labs
+name: bert_base_banking77_pt2_gchauhan_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_gchauhan_pipeline` is a English model originally trained by gchauhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_gchauhan_pipeline_en_5.5.0_3.0_1727306929787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_gchauhan_pipeline_en_5.5.0_3.0_1727306929787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_gchauhan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_gchauhan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_gchauhan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/gchauhan/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_lauritssn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_lauritssn_pipeline_en.md
new file mode 100644
index 00000000000000..ea429660b66e51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_lauritssn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_lauritssn_pipeline pipeline BertForSequenceClassification from lauritssn
+author: John Snow Labs
+name: bert_base_banking77_pt2_lauritssn_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_lauritssn_pipeline` is a English model originally trained by lauritssn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_lauritssn_pipeline_en_5.5.0_3.0_1727308741403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_lauritssn_pipeline_en_5.5.0_3.0_1727308741403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_lauritssn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_lauritssn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_lauritssn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/lauritssn/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tingli_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tingli_en.md
new file mode 100644
index 00000000000000..e8d5225b122b0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tingli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_tingli BertForSequenceClassification from Tingli
+author: John Snow Labs
+name: bert_base_banking77_pt2_tingli
+date: 2024-09-25
+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_banking77_pt2_tingli` is a English model originally trained by Tingli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tingli_en_5.5.0_3.0_1727289444596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tingli_en_5.5.0_3.0_1727289444596.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_banking77_pt2_tingli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Tingli/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tingli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tingli_pipeline_en.md
new file mode 100644
index 00000000000000..834deff63dcb37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tingli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_tingli_pipeline pipeline BertForSequenceClassification from Tingli
+author: John Snow Labs
+name: bert_base_banking77_pt2_tingli_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_tingli_pipeline` is a English model originally trained by Tingli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tingli_pipeline_en_5.5.0_3.0_1727289466196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tingli_pipeline_en_5.5.0_3.0_1727289466196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_tingli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_tingli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_tingli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Tingli/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tunggad_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tunggad_en.md
new file mode 100644
index 00000000000000..67895d9e0173a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tunggad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_tunggad BertForSequenceClassification from tunggad
+author: John Snow Labs
+name: bert_base_banking77_pt2_tunggad
+date: 2024-09-25
+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_banking77_pt2_tunggad` is a English model originally trained by tunggad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tunggad_en_5.5.0_3.0_1727308556866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tunggad_en_5.5.0_3.0_1727308556866.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_banking77_pt2_tunggad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/tunggad/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tunggad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tunggad_pipeline_en.md
new file mode 100644
index 00000000000000..ba391612a81868
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_tunggad_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_tunggad_pipeline pipeline BertForSequenceClassification from tunggad
+author: John Snow Labs
+name: bert_base_banking77_pt2_tunggad_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_tunggad_pipeline` is a English model originally trained by tunggad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tunggad_pipeline_en_5.5.0_3.0_1727308578440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_tunggad_pipeline_en_5.5.0_3.0_1727308578440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_tunggad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_tunggad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_tunggad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/tunggad/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_vildgras_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_vildgras_pipeline_en.md
new file mode 100644
index 00000000000000..7ac5b85b1bb3c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_banking77_pt2_vildgras_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_vildgras_pipeline pipeline BertForSequenceClassification from vildgras
+author: John Snow Labs
+name: bert_base_banking77_pt2_vildgras_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_vildgras_pipeline` is a English model originally trained by vildgras.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_vildgras_pipeline_en_5.5.0_3.0_1727268064932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_vildgras_pipeline_en_5.5.0_3.0_1727268064932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_vildgras_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_vildgras_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_vildgras_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/vildgras/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_canadawildfire_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_canadawildfire_en.md
new file mode 100644
index 00000000000000..447d9450f2c69e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_canadawildfire_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_canadawildfire BertForSequenceClassification from rizvi-rahil786
+author: John Snow Labs
+name: bert_base_canadawildfire
+date: 2024-09-25
+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_canadawildfire` is a English model originally trained by rizvi-rahil786.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_canadawildfire_en_5.5.0_3.0_1727289174485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_canadawildfire_en_5.5.0_3.0_1727289174485.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_canadawildfire|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/rizvi-rahil786/bert-base-canadaWildfire
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_canadawildfire_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_canadawildfire_pipeline_en.md
new file mode 100644
index 00000000000000..7a9f8a0cf2a0a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_canadawildfire_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_canadawildfire_pipeline pipeline BertForSequenceClassification from rizvi-rahil786
+author: John Snow Labs
+name: bert_base_canadawildfire_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_canadawildfire_pipeline` is a English model originally trained by rizvi-rahil786.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_canadawildfire_pipeline_en_5.5.0_3.0_1727289196252.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_canadawildfire_pipeline_en_5.5.0_3.0_1727289196252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_canadawildfire_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_canadawildfire_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_canadawildfire_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/rizvi-rahil786/bert-base-canadaWildfire
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_english_sentweet_derogatory_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_english_sentweet_derogatory_en.md
new file mode 100644
index 00000000000000..1060b781887f31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_english_sentweet_derogatory_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_english_sentweet_derogatory BertForSequenceClassification from jayanta
+author: John Snow Labs
+name: bert_base_cased_english_sentweet_derogatory
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_english_sentweet_derogatory` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_derogatory_en_5.5.0_3.0_1727288770427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_derogatory_en_5.5.0_3.0_1727288770427.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_english_sentweet_derogatory|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/jayanta/bert-base-cased-english-sentweet-Derogatory
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_finetuned_ner_bc2gm_iob_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_finetuned_ner_bc2gm_iob_pipeline_en.md
new file mode 100644
index 00000000000000..0ce81bd70dd56e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_finetuned_ner_bc2gm_iob_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_ner_bc2gm_iob_pipeline pipeline BertForTokenClassification from DunnBC22
+author: John Snow Labs
+name: bert_base_cased_finetuned_ner_bc2gm_iob_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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_ner_bc2gm_iob_pipeline` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_bc2gm_iob_pipeline_en_5.5.0_3.0_1727284132847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_bc2gm_iob_pipeline_en_5.5.0_3.0_1727284132847.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_ner_bc2gm_iob_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_finetuned_ner_bc2gm_iob_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_ner_bc2gm_iob_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/bert-base-cased-finetuned-ner-BC2GM-IOB
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_finetuned_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_finetuned_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..abbb4ebc10a50d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_finetuned_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_sst2_pipeline pipeline BertForSequenceClassification from w05230505
+author: John Snow Labs
+name: bert_base_cased_finetuned_sst2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_sst2_pipeline` is a English model originally trained by w05230505.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_sst2_pipeline_en_5.5.0_3.0_1727291239831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_sst2_pipeline_en_5.5.0_3.0_1727291239831.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_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_finetuned_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/w05230505/bert-base-cased-finetuned-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_ft5_3ep_s42_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_ft5_3ep_s42_en.md
new file mode 100644
index 00000000000000..cc5664c04d6f64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_ft5_3ep_s42_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_ft5_3ep_s42 BertForSequenceClassification from AbhishekkV19
+author: John Snow Labs
+name: bert_base_cased_ft5_3ep_s42
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_ft5_3ep_s42` is a English model originally trained by AbhishekkV19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_ft5_3ep_s42_en_5.5.0_3.0_1727285680003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_ft5_3ep_s42_en_5.5.0_3.0_1727285680003.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_ft5_3ep_s42|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/AbhishekkV19/bert-base-cased-ft5-3ep-s42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_ft6_3ep_s42_2_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_ft6_3ep_s42_2_en.md
new file mode 100644
index 00000000000000..fffdf026a5380d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_cased_ft6_3ep_s42_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_ft6_3ep_s42_2 BertForSequenceClassification from AbhishekkV19
+author: John Snow Labs
+name: bert_base_cased_ft6_3ep_s42_2
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_ft6_3ep_s42_2` is a English model originally trained by AbhishekkV19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_ft6_3ep_s42_2_en_5.5.0_3.0_1727290264273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_ft6_3ep_s42_2_en_5.5.0_3.0_1727290264273.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_ft6_3ep_s42_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/AbhishekkV19/bert-base-cased-ft6-3ep-s42-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline_en.md
new file mode 100644
index 00000000000000..86131efc192141
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline pipeline BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_chinese_climate_risk_opportunity_prediction_2_pipeline` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline_en_5.5.0_3.0_1727290322812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline_en_5.5.0_3.0_1727290322812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_climate_risk_opportunity_prediction_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-climate-risk-opportunity-prediction-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_chinese_text_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_chinese_text_classification_pipeline_en.md
new file mode 100644
index 00000000000000..cd18a144556922
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_chinese_text_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_chinese_text_classification_pipeline pipeline BertForSequenceClassification from CeroShrijver
+author: John Snow Labs
+name: bert_base_chinese_text_classification_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_chinese_text_classification_pipeline` is a English model originally trained by CeroShrijver.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_text_classification_pipeline_en_5.5.0_3.0_1727307152582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_text_classification_pipeline_en_5.5.0_3.0_1727307152582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_text_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_text_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_text_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/CeroShrijver/bert-base-chinese-text-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_code_classification_mid_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_code_classification_mid_en.md
new file mode 100644
index 00000000000000..d960a74691d8cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_code_classification_mid_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_finetuned_code_classification_mid BertForSequenceClassification from JUNstats
+author: John Snow Labs
+name: bert_base_finetuned_code_classification_mid
+date: 2024-09-25
+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_finetuned_code_classification_mid` is a English model originally trained by JUNstats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_code_classification_mid_en_5.5.0_3.0_1727286142226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_code_classification_mid_en_5.5.0_3.0_1727286142226.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_finetuned_code_classification_mid|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/JUNstats/bert-base-finetuned-code-classification-mid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_marip_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_marip_en.md
new file mode 100644
index 00000000000000..f1e2b0727d2f4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_marip_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_finetuned_ynat_marip BertForSequenceClassification from marip
+author: John Snow Labs
+name: bert_base_finetuned_ynat_marip
+date: 2024-09-25
+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_finetuned_ynat_marip` is a English model originally trained by marip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_marip_en_5.5.0_3.0_1727291189975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_marip_en_5.5.0_3.0_1727291189975.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_finetuned_ynat_marip|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/marip/bert-base-finetuned-ynat
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_marip_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_marip_pipeline_en.md
new file mode 100644
index 00000000000000..593498674998ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_finetuned_ynat_marip_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_finetuned_ynat_marip_pipeline pipeline BertForSequenceClassification from marip
+author: John Snow Labs
+name: bert_base_finetuned_ynat_marip_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_finetuned_ynat_marip_pipeline` is a English model originally trained by marip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_marip_pipeline_en_5.5.0_3.0_1727291212269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_marip_pipeline_en_5.5.0_3.0_1727291212269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_finetuned_ynat_marip_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_finetuned_ynat_marip_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_ynat_marip_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/marip/bert-base-finetuned-ynat
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_pipeline_en.md
new file mode 100644
index 00000000000000..87c1388bebc5ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_pipeline pipeline BertForTokenClassification from tbosse
+author: John Snow Labs
+name: bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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_german_cased_finetuned_subj_pretrained_with_noisydata_v2_pipeline` is a English model originally trained by tbosse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_pipeline_en_5.5.0_3.0_1727260524315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_pipeline_en_5.5.0_3.0_1727260524315.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_finetuned_subj_pretrained_with_noisydata_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_finetuned_subj_pretrained_with_noisydata_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/tbosse/bert-base-german-cased-finetuned-subj_preTrained_with_noisyData_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_v6_7epoch_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_v6_7epoch_v3_pipeline_en.md
new file mode 100644
index 00000000000000..bc2653017d2f38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_german_cased_finetuned_subj_v6_7epoch_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_german_cased_finetuned_subj_v6_7epoch_v3_pipeline pipeline BertForTokenClassification from tbosse
+author: John Snow Labs
+name: bert_base_german_cased_finetuned_subj_v6_7epoch_v3_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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_german_cased_finetuned_subj_v6_7epoch_v3_pipeline` is a English model originally trained by tbosse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_finetuned_subj_v6_7epoch_v3_pipeline_en_5.5.0_3.0_1727284316272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_finetuned_subj_v6_7epoch_v3_pipeline_en_5.5.0_3.0_1727284316272.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_finetuned_subj_v6_7epoch_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_german_cased_finetuned_subj_v6_7epoch_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_finetuned_subj_v6_7epoch_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/tbosse/bert-base-german-cased-finetuned-subj_v6_7Epoch_v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_48_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_48_en.md
new file mode 100644
index 00000000000000..f0c1584c632850
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_48_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_massive_intent_48 BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_base_massive_intent_48
+date: 2024-09-25
+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_massive_intent_48` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_48_en_5.5.0_3.0_1727288253168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_48_en_5.5.0_3.0_1727288253168.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_massive_intent_48|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-base-Massive-intent_48
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_48_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_48_pipeline_en.md
new file mode 100644
index 00000000000000..b24eaea6502448
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_48_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_massive_intent_48_pipeline pipeline BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_base_massive_intent_48_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_massive_intent_48_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_48_pipeline_en_5.5.0_3.0_1727288277495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_48_pipeline_en_5.5.0_3.0_1727288277495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_massive_intent_48_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_massive_intent_48_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_massive_intent_48_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-base-Massive-intent_48
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_en.md
new file mode 100644
index 00000000000000..b568a1066c59c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_massive_intent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_massive_intent BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_base_massive_intent
+date: 2024-09-25
+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_massive_intent` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_en_5.5.0_3.0_1727273184565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_en_5.5.0_3.0_1727273184565.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_massive_intent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-base-Massive-intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_msmarco_fiqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_msmarco_fiqa_pipeline_en.md
new file mode 100644
index 00000000000000..4f19312118f6ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_msmarco_fiqa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_msmarco_fiqa_pipeline pipeline BertForSequenceClassification from vittoriomaggio
+author: John Snow Labs
+name: bert_base_msmarco_fiqa_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_msmarco_fiqa_pipeline` is a English model originally trained by vittoriomaggio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_msmarco_fiqa_pipeline_en_5.5.0_3.0_1727273492580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_msmarco_fiqa_pipeline_en_5.5.0_3.0_1727273492580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_msmarco_fiqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_msmarco_fiqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_msmarco_fiqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/vittoriomaggio/bert-base-msmarco-fiqa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_multilingual_cased_finetuned_emotion_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_multilingual_cased_finetuned_emotion_pipeline_xx.md
new file mode 100644
index 00000000000000..f88df482a5ea9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_multilingual_cased_finetuned_emotion_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_cased_finetuned_emotion_pipeline pipeline BertForSequenceClassification from m8than
+author: John Snow Labs
+name: bert_base_multilingual_cased_finetuned_emotion_pipeline
+date: 2024-09-25
+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_base_multilingual_cased_finetuned_emotion_pipeline` is a Multilingual model originally trained by m8than.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_finetuned_emotion_pipeline_xx_5.5.0_3.0_1727269300599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_finetuned_emotion_pipeline_xx_5.5.0_3.0_1727269300599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_multilingual_cased_finetuned_emotion_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_multilingual_cased_finetuned_emotion_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_finetuned_emotion_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/m8than/bert-base-multilingual-cased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx.md
new file mode 100644
index 00000000000000..7d6637e8df22eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam BertForSequenceClassification from emiliam
+author: John Snow Labs
+name: bert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam
+date: 2024-09-25
+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_finetuned_meia_analisisdesentimientos_emiliam` is a Multilingual model originally trained by emiliam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx_5.5.0_3.0_1727290539397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_finetuned_meia_analisisdesentimientos_emiliam_xx_5.5.0_3.0_1727290539397.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_uncased_sentiment_eternaut|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/eternaut/bert-base-multilingual-uncased-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_nlp100_title_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_nlp100_title_classification_pipeline_en.md
new file mode 100644
index 00000000000000..c8afd9cbdcf76a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_nlp100_title_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_nlp100_title_classification_pipeline pipeline BertForSequenceClassification from udaizin
+author: John Snow Labs
+name: bert_base_nlp100_title_classification_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_nlp100_title_classification_pipeline` is a English model originally trained by udaizin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_nlp100_title_classification_pipeline_en_5.5.0_3.0_1727268209093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_nlp100_title_classification_pipeline_en_5.5.0_3.0_1727268209093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_nlp100_title_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_nlp100_title_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_nlp100_title_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/udaizin/bert-base-nlp100_title_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_portuguese_cased_hatebr_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_portuguese_cased_hatebr_pipeline_pt.md
new file mode 100644
index 00000000000000..01ffcfc692e1df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_portuguese_cased_hatebr_pipeline_pt.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Portuguese bert_base_portuguese_cased_hatebr_pipeline pipeline BertForSequenceClassification from ruanchaves
+author: John Snow Labs
+name: bert_base_portuguese_cased_hatebr_pipeline
+date: 2024-09-25
+tags: [pt, open_source, pipeline, onnx]
+task: Text Classification
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_portuguese_cased_hatebr_pipeline` is a Portuguese model originally trained by ruanchaves.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_hatebr_pipeline_pt_5.5.0_3.0_1727293413743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_hatebr_pipeline_pt_5.5.0_3.0_1727293413743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_portuguese_cased_hatebr_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_portuguese_cased_hatebr_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_hatebr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ruanchaves/bert-base-portuguese-cased-hatebr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_portuguese_cased_hatebr_pt.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_portuguese_cased_hatebr_pt.md
new file mode 100644
index 00000000000000..96c5e44e86d518
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_portuguese_cased_hatebr_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese bert_base_portuguese_cased_hatebr BertForSequenceClassification from ruanchaves
+author: John Snow Labs
+name: bert_base_portuguese_cased_hatebr
+date: 2024-09-25
+tags: [pt, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: pt
+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_portuguese_cased_hatebr` is a Portuguese model originally trained by ruanchaves.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_hatebr_pt_5.5.0_3.0_1727293392007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_hatebr_pt_5.5.0_3.0_1727293392007.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_portuguese_cased_hatebr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ruanchaves/bert-base-portuguese-cased-hatebr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_sentiment_en.md
new file mode 100644
index 00000000000000..019dd39f4976ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_sentiment BertForSequenceClassification from 51la5
+author: John Snow Labs
+name: bert_base_sentiment
+date: 2024-09-25
+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_sentiment` is a English model originally trained by 51la5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_sentiment_en_5.5.0_3.0_1727291398488.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_sentiment_en_5.5.0_3.0_1727291398488.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_sentiment|
+|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/51la5/bert-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..6c1daaababcaaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_sentiment_pipeline pipeline BertForSequenceClassification from 51la5
+author: John Snow Labs
+name: bert_base_sentiment_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_sentiment_pipeline` is a English model originally trained by 51la5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_sentiment_pipeline_en_5.5.0_3.0_1727291419363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_sentiment_pipeline_en_5.5.0_3.0_1727291419363.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/51la5/bert-base-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_cased_k3_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_cased_k3_en.md
new file mode 100644
index 00000000000000..9e7b07f82f4086
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_cased_k3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_cased_k3 BertForSequenceClassification from dtorber
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_k3
+date: 2024-09-25
+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_spanish_wwm_cased_k3` is a English model originally trained by dtorber.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_k3_en_5.5.0_3.0_1727292308209.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_k3_en_5.5.0_3.0_1727292308209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_k3|
+|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/dtorber/bert-base-spanish-wwm-cased_K3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_cased_k3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_cased_k3_pipeline_en.md
new file mode 100644
index 00000000000000..20e6576d001f90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_cased_k3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_cased_k3_pipeline pipeline BertForSequenceClassification from dtorber
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_k3_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_spanish_wwm_cased_k3_pipeline` is a English model originally trained by dtorber.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_k3_pipeline_en_5.5.0_3.0_1727292329578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_k3_pipeline_en_5.5.0_3.0_1727292329578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_cased_k3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_cased_k3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_k3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/dtorber/bert-base-spanish-wwm-cased_K3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_f_tag_0_3_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_f_tag_0_3_en.md
new file mode 100644
index 00000000000000..e096a2bec92594
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_f_tag_0_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_f_tag_0_3 BertForSequenceClassification from ISA-Group
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_f_tag_0_3
+date: 2024-09-25
+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_spanish_wwm_uncased_f_tag_0_3` is a English model originally trained by ISA-Group.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_f_tag_0_3_en_5.5.0_3.0_1727289452265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_f_tag_0_3_en_5.5.0_3.0_1727289452265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_f_tag_0_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/ISA-Group/bert-base-spanish-wwm-uncased_f-tag-0.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline_en.md
new file mode 100644
index 00000000000000..3ae14b2ab140f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline pipeline BertForSequenceClassification from ISA-Group
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_spanish_wwm_uncased_f_tag_0_3_pipeline` is a English model originally trained by ISA-Group.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline_en_5.5.0_3.0_1727289474102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline_en_5.5.0_3.0_1727289474102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_f_tag_0_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/ISA-Group/bert-base-spanish-wwm-uncased_f-tag-0.3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_r_tag_0_2_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_r_tag_0_2_en.md
new file mode 100644
index 00000000000000..25ab24b1de31d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_r_tag_0_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_r_tag_0_2 BertForSequenceClassification from ISA-Group
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_r_tag_0_2
+date: 2024-09-25
+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_spanish_wwm_uncased_r_tag_0_2` is a English model originally trained by ISA-Group.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_r_tag_0_2_en_5.5.0_3.0_1727290462173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_r_tag_0_2_en_5.5.0_3.0_1727290462173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_r_tag_0_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/ISA-Group/bert-base-spanish-wwm-uncased_r-tag-0.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline_en.md
new file mode 100644
index 00000000000000..7f237f2c493ef5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline pipeline BertForSequenceClassification from ISA-Group
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_spanish_wwm_uncased_r_tag_0_2_pipeline` is a English model originally trained by ISA-Group.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline_en_5.5.0_3.0_1727290483362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline_en_5.5.0_3.0_1727290483362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_r_tag_0_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/ISA-Group/bert-base-spanish-wwm-uncased_r-tag-0.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_sst2_gokuls_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_sst2_gokuls_en.md
new file mode 100644
index 00000000000000..a107e510e47560
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_sst2_gokuls_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_sst2_gokuls BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_base_sst2_gokuls
+date: 2024-09-25
+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_sst2_gokuls` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_sst2_gokuls_en_5.5.0_3.0_1727290604390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_sst2_gokuls_en_5.5.0_3.0_1727290604390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_turkish_128k_cased_offensive|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|691.1 MB|
+
+## References
+
+https://huggingface.co/Overfit-GM/bert-base-turkish-128k-cased-offensive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_8_50_0_01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_8_50_0_01_pipeline_en.md
new file mode 100644
index 00000000000000..f4f0e972966a9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_8_50_0_01_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_8_50_0_01_pipeline pipeline BertForSequenceClassification from daisyxie21
+author: John Snow Labs
+name: bert_base_uncased_8_50_0_01_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_8_50_0_01_pipeline` is a English model originally trained by daisyxie21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_8_50_0_01_pipeline_en_5.5.0_3.0_1727276697325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_8_50_0_01_pipeline_en_5.5.0_3.0_1727276697325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_8_50_0_01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_8_50_0_01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_8_50_0_01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.4 MB|
+
+## References
+
+https://huggingface.co/daisyxie21/bert-base-uncased-8-50-0.01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ad_nonad_classifer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ad_nonad_classifer_pipeline_en.md
new file mode 100644
index 00000000000000..495c14923c6c93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ad_nonad_classifer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_ad_nonad_classifer_pipeline pipeline BertForSequenceClassification from Kaleemullah
+author: John Snow Labs
+name: bert_base_uncased_ad_nonad_classifer_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ad_nonad_classifer_pipeline` is a English model originally trained by Kaleemullah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ad_nonad_classifer_pipeline_en_5.5.0_3.0_1727285275710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ad_nonad_classifer_pipeline_en_5.5.0_3.0_1727285275710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ad_nonad_classifer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ad_nonad_classifer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ad_nonad_classifer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kaleemullah/bert-base-uncased-ad-nonad-classifer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_pysentimiento_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_pysentimiento_en.md
new file mode 100644
index 00000000000000..5632d19f778046
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_pysentimiento_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_emotion_pysentimiento BertForSequenceClassification from pysentimiento
+author: John Snow Labs
+name: bert_base_uncased_emotion_pysentimiento
+date: 2024-09-25
+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_emotion_pysentimiento` is a English model originally trained by pysentimiento.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_pysentimiento_en_5.5.0_3.0_1727306375747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_pysentimiento_en_5.5.0_3.0_1727306375747.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_emotion_pysentimiento|
+|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/pysentimiento/bert-base-uncased-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_ricocheh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_ricocheh_pipeline_en.md
new file mode 100644
index 00000000000000..c3df5abddbef64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_ricocheh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_emotion_ricocheh_pipeline pipeline BertForSequenceClassification from RicoCHEH
+author: John Snow Labs
+name: bert_base_uncased_emotion_ricocheh_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_emotion_ricocheh_pipeline` is a English model originally trained by RicoCHEH.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_ricocheh_pipeline_en_5.5.0_3.0_1727308442335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_ricocheh_pipeline_en_5.5.0_3.0_1727308442335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_emotion_ricocheh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_emotion_ricocheh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_emotion_ricocheh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/RicoCHEH/bert-base-uncased-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_v1_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_v1_en.md
new file mode 100644
index 00000000000000..616db57a955ac1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_emotion_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_emotion_v1 BertForSequenceClassification from Cesar42
+author: John Snow Labs
+name: bert_base_uncased_emotion_v1
+date: 2024-09-25
+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_emotion_v1` is a English model originally trained by Cesar42.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_v1_en_5.5.0_3.0_1727279789936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_v1_en_5.5.0_3.0_1727279789936.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_emotion_v1|
+|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/Cesar42/bert-base-uncased-emotion_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_amazon_reviews_multi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_amazon_reviews_multi_pipeline_en.md
new file mode 100644
index 00000000000000..e6c3e2ee600f22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_amazon_reviews_multi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_amazon_reviews_multi_pipeline pipeline BertForSequenceClassification from JoelVIU
+author: John Snow Labs
+name: bert_base_uncased_finetuned_amazon_reviews_multi_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_amazon_reviews_multi_pipeline` is a English model originally trained by JoelVIU.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_amazon_reviews_multi_pipeline_en_5.5.0_3.0_1727286302655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_amazon_reviews_multi_pipeline_en_5.5.0_3.0_1727286302655.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_amazon_reviews_multi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_amazon_reviews_multi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_amazon_reviews_multi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/JoelVIU/bert-base-uncased-finetuned-amazon_reviews_multi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cda_gender_neutral_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cda_gender_neutral_pipeline_en.md
new file mode 100644
index 00000000000000..ad94055f949ac4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cda_gender_neutral_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cda_gender_neutral_pipeline pipeline BertEmbeddings from zz990906
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cda_gender_neutral_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cda_gender_neutral_pipeline` is a English model originally trained by zz990906.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cda_gender_neutral_pipeline_en_5.5.0_3.0_1727232590873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cda_gender_neutral_pipeline_en_5.5.0_3.0_1727232590873.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_cda_gender_neutral_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cda_gender_neutral_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cda_gender_neutral_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/zz990906/bert-base-uncased-finetuned-cda-gender-neutral
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_clause_type_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_clause_type_pipeline_en.md
new file mode 100644
index 00000000000000..6711f2d63a8b38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_clause_type_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_clause_type_pipeline pipeline BertForSequenceClassification from mauro
+author: John Snow Labs
+name: bert_base_uncased_finetuned_clause_type_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_clause_type_pipeline` is a English model originally trained by mauro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clause_type_pipeline_en_5.5.0_3.0_1727307408276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clause_type_pipeline_en_5.5.0_3.0_1727307408276.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_clause_type_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_clause_type_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_clause_type_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mauro/bert-base-uncased-finetuned-clause-type
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_clinc_oos_nikitakapitan_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_clinc_oos_nikitakapitan_en.md
new file mode 100644
index 00000000000000..3f1828f0cbfff3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_clinc_oos_nikitakapitan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_clinc_oos_nikitakapitan BertForSequenceClassification from nikitakapitan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_clinc_oos_nikitakapitan
+date: 2024-09-25
+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_finetuned_clinc_oos_nikitakapitan` is a English model originally trained by nikitakapitan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_nikitakapitan_en_5.5.0_3.0_1727306197895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_nikitakapitan_en_5.5.0_3.0_1727306197895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_clinc_oos_nikitakapitan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/nikitakapitan/bert-base-uncased-finetuned-clinc_oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline_en.md
new file mode 100644
index 00000000000000..87063695fbff30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline pipeline BertForSequenceClassification from nikitakapitan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline` is a English model originally trained by nikitakapitan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline_en_5.5.0_3.0_1727306222785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline_en_5.5.0_3.0_1727306222785.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_clinc_oos_nikitakapitan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_clinc_oos_nikitakapitan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/nikitakapitan/bert-base-uncased-finetuned-clinc_oos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_avb_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_avb_en.md
new file mode 100644
index 00000000000000..9494654d15a123
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_avb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_avb BertForSequenceClassification from avb
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_avb
+date: 2024-09-25
+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_finetuned_cola_avb` is a English model originally trained by avb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_avb_en_5.5.0_3.0_1727268554800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_avb_en_5.5.0_3.0_1727268554800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_avb|
+|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/avb/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_en.md
new file mode 100644
index 00000000000000..ab94780aafb99f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00 BertForSequenceClassification from sepehrbakhshi
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00
+date: 2024-09-25
+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_finetuned_cola_hw2_sepehr_bakhshi_dropout_00` is a English model originally trained by sepehrbakhshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_en_5.5.0_3.0_1727289622011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_en_5.5.0_3.0_1727289622011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00|
+|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/sepehrbakhshi/bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_00
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline_en.md
new file mode 100644
index 00000000000000..50f6f0cd51bddc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline pipeline BertForSequenceClassification from sepehrbakhshi
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline` is a English model originally trained by sepehrbakhshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline_en_5.5.0_3.0_1727289643692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline_en_5.5.0_3.0_1727289643692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_hw2_sepehr_bakhshi_dropout_00_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sepehrbakhshi/bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_00
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_kaanha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_kaanha_pipeline_en.md
new file mode 100644
index 00000000000000..eb58bed700e2e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_kaanha_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_kaanha_pipeline pipeline BertForSequenceClassification from KaanHa
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_kaanha_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_kaanha_pipeline` is a English model originally trained by KaanHa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_kaanha_pipeline_en_5.5.0_3.0_1727287154428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_kaanha_pipeline_en_5.5.0_3.0_1727287154428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_kaanha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_kaanha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_kaanha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/KaanHa/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline_en.md
new file mode 100644
index 00000000000000..ee40536cbec49f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline pipeline BertForSequenceClassification from cansurav
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline` is a English model originally trained by cansurav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline_en_5.5.0_3.0_1727286410801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline_en_5.5.0_3.0_1727286410801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_learning_rate_2e_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/cansurav/bert-base-uncased-finetuned-cola-learning_rate-2e-05
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_mofyrt_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_mofyrt_en.md
new file mode 100644
index 00000000000000..adb77bea383f49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_mofyrt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_mofyrt BertForSequenceClassification from mofyrt
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_mofyrt
+date: 2024-09-25
+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_finetuned_cola_mofyrt` is a English model originally trained by mofyrt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_mofyrt_en_5.5.0_3.0_1727285863460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_mofyrt_en_5.5.0_3.0_1727285863460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_mofyrt|
+|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/mofyrt/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_mofyrt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_mofyrt_pipeline_en.md
new file mode 100644
index 00000000000000..a47612b1b75a4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_mofyrt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_mofyrt_pipeline pipeline BertForSequenceClassification from mofyrt
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_mofyrt_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_mofyrt_pipeline` is a English model originally trained by mofyrt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_mofyrt_pipeline_en_5.5.0_3.0_1727285885672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_mofyrt_pipeline_en_5.5.0_3.0_1727285885672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_mofyrt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_mofyrt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_mofyrt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mofyrt/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_orcan_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_orcan_en.md
new file mode 100644
index 00000000000000..58f018a3c2568b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_orcan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_orcan BertForSequenceClassification from orcan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_orcan
+date: 2024-09-25
+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_finetuned_cola_orcan` is a English model originally trained by orcan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_orcan_en_5.5.0_3.0_1727286173002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_orcan_en_5.5.0_3.0_1727286173002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_orcan|
+|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/orcan/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_orcan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_orcan_pipeline_en.md
new file mode 100644
index 00000000000000..3f7aea1fc114d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_orcan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_orcan_pipeline pipeline BertForSequenceClassification from orcan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_orcan_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_orcan_pipeline` is a English model originally trained by orcan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_orcan_pipeline_en_5.5.0_3.0_1727286196829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_orcan_pipeline_en_5.5.0_3.0_1727286196829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_orcan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_orcan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_orcan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/orcan/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_senihylmz_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_senihylmz_en.md
new file mode 100644
index 00000000000000..e80640fc3b58e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_senihylmz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_senihylmz BertForSequenceClassification from senihylmz
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_senihylmz
+date: 2024-09-25
+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_finetuned_cola_senihylmz` is a English model originally trained by senihylmz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_senihylmz_en_5.5.0_3.0_1727285373213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_senihylmz_en_5.5.0_3.0_1727285373213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_senihylmz|
+|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/senihylmz/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_sepehr_final_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_sepehr_final_en.md
new file mode 100644
index 00000000000000..76c00d09314246
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_sepehr_final_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_sepehr_final BertForSequenceClassification from sepehrbakhshi
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_sepehr_final
+date: 2024-09-25
+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_finetuned_cola_sepehr_final` is a English model originally trained by sepehrbakhshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_final_en_5.5.0_3.0_1727288826333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_final_en_5.5.0_3.0_1727288826333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_sepehr_final|
+|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/sepehrbakhshi/bert-base-uncased-finetuned-cola_sepehr_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline_en.md
new file mode 100644
index 00000000000000..39de9f89ef0d5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline pipeline BertForSequenceClassification from sepehrbakhshi
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline` is a English model originally trained by sepehrbakhshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline_en_5.5.0_3.0_1727288748952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline_en_5.5.0_3.0_1727288748952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sepehrbakhshi/bert-base-uncased-finetuned-cola_sepehr_sepehr_sepehr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_depression_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_depression_en.md
new file mode 100644
index 00000000000000..a6c5ae1d87f959
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_depression_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_depression BertForSequenceClassification from welsachy
+author: John Snow Labs
+name: bert_base_uncased_finetuned_depression
+date: 2024-09-25
+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_finetuned_depression` is a English model originally trained by welsachy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_depression_en_5.5.0_3.0_1727276739655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_depression_en_5.5.0_3.0_1727276739655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_depression|
+|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/welsachy/bert-base-uncased-finetuned-depression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_emotion_nikitakapitan_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_emotion_nikitakapitan_en.md
new file mode 100644
index 00000000000000..7e26de71308613
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_emotion_nikitakapitan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_emotion_nikitakapitan BertForSequenceClassification from nikitakapitan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_emotion_nikitakapitan
+date: 2024-09-25
+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_finetuned_emotion_nikitakapitan` is a English model originally trained by nikitakapitan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_emotion_nikitakapitan_en_5.5.0_3.0_1727302550473.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_emotion_nikitakapitan_en_5.5.0_3.0_1727302550473.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_emotion_nikitakapitan|
+|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/nikitakapitan/bert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_filtered_0602_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_filtered_0602_en.md
new file mode 100644
index 00000000000000..b61b2633cada75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_filtered_0602_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_filtered_0602 BertForSequenceClassification from YeRyeongLee
+author: John Snow Labs
+name: bert_base_uncased_finetuned_filtered_0602
+date: 2024-09-25
+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_finetuned_filtered_0602` is a English model originally trained by YeRyeongLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_filtered_0602_en_5.5.0_3.0_1727284691216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_filtered_0602_en_5.5.0_3.0_1727284691216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_filtered_0602|
+|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/YeRyeongLee/bert-base-uncased-finetuned-filtered-0602
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_en.md
new file mode 100644
index 00000000000000..16d3098e4244b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_max_length_256_epoch_6 BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_max_length_256_epoch_6
+date: 2024-09-25
+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_finetuned_mnli_max_length_256_epoch_6` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_en_5.5.0_3.0_1727287571878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_en_5.5.0_3.0_1727287571878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_max_length_256_epoch_6|
+|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/yy642/bert-base-uncased-finetuned-mnli-max-length-256-epoch-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline_en.md
new file mode 100644
index 00000000000000..860ef94672bf9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline pipeline BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline_en_5.5.0_3.0_1727287593103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline_en_5.5.0_3.0_1727287593103.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_mnli_max_length_256_epoch_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_max_length_256_epoch_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yy642/bert-base-uncased-finetuned-mnli-max-length-256-epoch-6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en.md
new file mode 100644
index 00000000000000..9b274cf8d8fc3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mrpc_vitaliivrublevskyi BertForSequenceClassification from VitaliiVrublevskyi
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mrpc_vitaliivrublevskyi
+date: 2024-09-25
+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_finetuned_mrpc_vitaliivrublevskyi` is a English model originally trained by VitaliiVrublevskyi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en_5.5.0_3.0_1727288570620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mrpc_vitaliivrublevskyi_en_5.5.0_3.0_1727288570620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mrpc_vitaliivrublevskyi|
+|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/VitaliiVrublevskyi/bert-base-uncased-finetuned-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_poli_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_poli_en.md
new file mode 100644
index 00000000000000..11accc2bfde2a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_poli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_poli BertForSequenceClassification from lmajer
+author: John Snow Labs
+name: bert_base_uncased_finetuned_poli
+date: 2024-09-25
+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_finetuned_poli` is a English model originally trained by lmajer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_poli_en_5.5.0_3.0_1727284926701.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_poli_en_5.5.0_3.0_1727284926701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_poli|
+|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/lmajer/bert-base-uncased-finetuned-POLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_qnli_anamelchor_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_qnli_anamelchor_en.md
new file mode 100644
index 00000000000000..32b083386aad8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_qnli_anamelchor_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_qnli_anamelchor BertForSequenceClassification from anamelchor
+author: John Snow Labs
+name: bert_base_uncased_finetuned_qnli_anamelchor
+date: 2024-09-25
+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_finetuned_qnli_anamelchor` is a English model originally trained by anamelchor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qnli_anamelchor_en_5.5.0_3.0_1727286825080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qnli_anamelchor_en_5.5.0_3.0_1727286825080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_qnli_anamelchor|
+|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/anamelchor/bert-base-uncased-finetuned-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_qnli_anamelchor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_qnli_anamelchor_pipeline_en.md
new file mode 100644
index 00000000000000..804ced33a1016a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_qnli_anamelchor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_qnli_anamelchor_pipeline pipeline BertForSequenceClassification from anamelchor
+author: John Snow Labs
+name: bert_base_uncased_finetuned_qnli_anamelchor_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_qnli_anamelchor_pipeline` is a English model originally trained by anamelchor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qnli_anamelchor_pipeline_en_5.5.0_3.0_1727286846283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qnli_anamelchor_pipeline_en_5.5.0_3.0_1727286846283.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_qnli_anamelchor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_qnli_anamelchor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_qnli_anamelchor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/anamelchor/bert-base-uncased-finetuned-qnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_5_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_5_en.md
new file mode 100644
index 00000000000000..e285732c8a48a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_rte_max_length_512_epoch_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_rte_max_length_512_epoch_5 BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_rte_max_length_512_epoch_5
+date: 2024-09-25
+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_finetuned_rte_max_length_512_epoch_5` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_512_epoch_5_en_5.5.0_3.0_1727286788718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_512_epoch_5_en_5.5.0_3.0_1727286788718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_rte_max_length_512_epoch_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/yy642/bert-base-uncased-finetuned-rte-max-length-512-epoch-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_sst2_codeinjax_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_sst2_codeinjax_pipeline_en.md
new file mode 100644
index 00000000000000..3208f81438bb4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_sst2_codeinjax_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_codeinjax_pipeline pipeline BertForSequenceClassification from CodeinJax
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_codeinjax_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sst2_codeinjax_pipeline` is a English model originally trained by CodeinJax.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_codeinjax_pipeline_en_5.5.0_3.0_1727301056112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_codeinjax_pipeline_en_5.5.0_3.0_1727301056112.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_sst2_codeinjax_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_sst2_codeinjax_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_codeinjax_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/CodeinJax/bert-base-uncased-finetuned-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..955cab3f9ae792
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline pipeline BertForSequenceClassification from sasuke
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline` is a English model originally trained by sasuke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline_en_5.5.0_3.0_1727279625215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline_en_5.5.0_3.0_1727279625215.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_sst2_finetuned_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_finetuned_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sasuke/bert-base-uncased-finetuned-sst2-finetuned-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_sst2_sst2_membership_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_sst2_sst2_membership_pipeline_en.md
new file mode 100644
index 00000000000000..f177e0a6ccfcab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_sst2_sst2_membership_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_sst2_membership_pipeline pipeline BertForSequenceClassification from doyoungkim
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_sst2_membership_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sst2_sst2_membership_pipeline` is a English model originally trained by doyoungkim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_sst2_membership_pipeline_en_5.5.0_3.0_1727307026098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_sst2_membership_pipeline_en_5.5.0_3.0_1727307026098.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_sst2_sst2_membership_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_sst2_sst2_membership_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_sst2_membership_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/doyoungkim/bert-base-uncased-finetuned-sst2-sst2-membership
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_vedantgaur_human_generated_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_vedantgaur_human_generated_en.md
new file mode 100644
index 00000000000000..e3a0cf8bf96454
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_vedantgaur_human_generated_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_vedantgaur_human_generated BertForSequenceClassification from SkwarczynskiP
+author: John Snow Labs
+name: bert_base_uncased_finetuned_vedantgaur_human_generated
+date: 2024-09-25
+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_finetuned_vedantgaur_human_generated` is a English model originally trained by SkwarczynskiP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_vedantgaur_human_generated_en_5.5.0_3.0_1727297555919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_vedantgaur_human_generated_en_5.5.0_3.0_1727297555919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_vedantgaur_human_generated|
+|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/SkwarczynskiP/bert-base-uncased-finetuned-vedantgaur-human-generated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline_en.md
new file mode 100644
index 00000000000000..a292e4af6ce51d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline pipeline BertForSequenceClassification from SkwarczynskiP
+author: John Snow Labs
+name: bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline` is a English model originally trained by SkwarczynskiP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline_en_5.5.0_3.0_1727297579157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline_en_5.5.0_3.0_1727297579157.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_vedantgaur_human_generated_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_vedantgaur_human_generated_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/SkwarczynskiP/bert-base-uncased-finetuned-vedantgaur-human-generated
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_glue_mrpc_manasip25_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_glue_mrpc_manasip25_en.md
new file mode 100644
index 00000000000000..52e72b636be7db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_glue_mrpc_manasip25_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_glue_mrpc_manasip25 BertForSequenceClassification from manasip25
+author: John Snow Labs
+name: bert_base_uncased_glue_mrpc_manasip25
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_glue_mrpc_manasip25` is a English model originally trained by manasip25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_mrpc_manasip25_en_5.5.0_3.0_1727306619070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_mrpc_manasip25_en_5.5.0_3.0_1727306619070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_glue_mrpc_manasip25|
+|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/manasip25/bert-base-uncased-glue-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_goemotions_original_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_goemotions_original_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..5f689575454f5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_goemotions_original_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_goemotions_original_finetuned_pipeline pipeline BertForSequenceClassification from justin871030
+author: John Snow Labs
+name: bert_base_uncased_goemotions_original_finetuned_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_goemotions_original_finetuned_pipeline` is a English model originally trained by justin871030.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_goemotions_original_finetuned_pipeline_en_5.5.0_3.0_1727256813335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_goemotions_original_finetuned_pipeline_en_5.5.0_3.0_1727256813335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_goemotions_original_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_goemotions_original_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_goemotions_original_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/justin871030/bert-base-uncased-goemotions-original-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en.md
new file mode 100644
index 00000000000000..f4fb32ca5a7801
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_hate_offensive_normal_speech_lr_2e_05 BertForSequenceClassification from DrishtiSharma
+author: John Snow Labs
+name: bert_base_uncased_hate_offensive_normal_speech_lr_2e_05
+date: 2024-09-25
+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_hate_offensive_normal_speech_lr_2e_05` is a English model originally trained by DrishtiSharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en_5.5.0_3.0_1727307733548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hate_offensive_normal_speech_lr_2e_05_en_5.5.0_3.0_1727307733548.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_hate_offensive_normal_speech_lr_2e_05|
+|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/DrishtiSharma/bert-base-uncased-hate-offensive-normal-speech-lr-2e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_header_plus_content_textsim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_header_plus_content_textsim_pipeline_en.md
new file mode 100644
index 00000000000000..ba93556796e09d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_header_plus_content_textsim_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_header_plus_content_textsim_pipeline pipeline BertForSequenceClassification from kaanakdeniz
+author: John Snow Labs
+name: bert_base_uncased_header_plus_content_textsim_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_header_plus_content_textsim_pipeline` is a English model originally trained by kaanakdeniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_header_plus_content_textsim_pipeline_en_5.5.0_3.0_1727286529238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_header_plus_content_textsim_pipeline_en_5.5.0_3.0_1727286529238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_header_plus_content_textsim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_header_plus_content_textsim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_header_plus_content_textsim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/kaanakdeniz/bert_base_uncased_header_plus_content_textsim
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_hoax_classifier_fulltext_1h2r_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_hoax_classifier_fulltext_1h2r_en.md
new file mode 100644
index 00000000000000..06b04e008bb137
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_hoax_classifier_fulltext_1h2r_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_hoax_classifier_fulltext_1h2r BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_base_uncased_hoax_classifier_fulltext_1h2r
+date: 2024-09-25
+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_hoax_classifier_fulltext_1h2r` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hoax_classifier_fulltext_1h2r_en_5.5.0_3.0_1727285877380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hoax_classifier_fulltext_1h2r_en_5.5.0_3.0_1727285877380.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_hoax_classifier_fulltext_1h2r|
+|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/research-dump/bert-base-uncased_hoax_classifier_fulltext_1h2r
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_imdb_saved_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_imdb_saved_en.md
new file mode 100644
index 00000000000000..b18cace77fe17a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_imdb_saved_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_imdb_saved BertForSequenceClassification from thaile
+author: John Snow Labs
+name: bert_base_uncased_imdb_saved
+date: 2024-09-25
+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_imdb_saved` is a English model originally trained by thaile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_imdb_saved_en_5.5.0_3.0_1727266471958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_imdb_saved_en_5.5.0_3.0_1727266471958.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_imdb_saved|
+|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/thaile/bert-base-uncased-imdb-saved
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_anantonios9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_anantonios9_pipeline_en.md
new file mode 100644
index 00000000000000..2988f9bb1a6d61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_issues_128_anantonios9_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_issues_128_anantonios9_pipeline pipeline BertEmbeddings from anantonios9
+author: John Snow Labs
+name: bert_base_uncased_issues_128_anantonios9_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_issues_128_anantonios9_pipeline` is a English model originally trained by anantonios9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_anantonios9_pipeline_en_5.5.0_3.0_1727255974098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_issues_128_anantonios9_pipeline_en_5.5.0_3.0_1727255974098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_issues_128_anantonios9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_issues_128_anantonios9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_issues_128_anantonios9_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/anantonios9/bert-base-uncased-issues-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_malayalam_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_malayalam_en.md
new file mode 100644
index 00000000000000..f0f896e84fe9a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_malayalam_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_malayalam BertEmbeddings from Tural
+author: John Snow Labs
+name: bert_base_uncased_malayalam
+date: 2024-09-25
+tags: [en, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_malayalam` is a English model originally trained by Tural.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_malayalam_en_5.5.0_3.0_1727232977924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_malayalam_en_5.5.0_3.0_1727232977924.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_malayalam|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Tural/bert-base-uncased-ml
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mrpc_epochs_10_lr_5e_05_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mrpc_epochs_10_lr_5e_05_en.md
new file mode 100644
index 00000000000000..dbc70f33ee87d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mrpc_epochs_10_lr_5e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_epochs_10_lr_5e_05 BertForSequenceClassification from prateeky2806
+author: John Snow Labs
+name: bert_base_uncased_mrpc_epochs_10_lr_5e_05
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_epochs_10_lr_5e_05` is a English model originally trained by prateeky2806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_epochs_10_lr_5e_05_en_5.5.0_3.0_1727307085988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_epochs_10_lr_5e_05_en_5.5.0_3.0_1727307085988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_epochs_10_lr_5e_05|
+|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/prateeky2806/bert-base-uncased-mrpc-epochs-10-lr-5e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline_en.md
new file mode 100644
index 00000000000000..f84ac7401d18e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline pipeline BertForSequenceClassification from prateeky2806
+author: John Snow Labs
+name: bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline` is a English model originally trained by prateeky2806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline_en_5.5.0_3.0_1727307107522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline_en_5.5.0_3.0_1727307107522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_epochs_10_lr_5e_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/prateeky2806/bert-base-uncased-mrpc-epochs-10-lr-5e-05
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline_en.md
new file mode 100644
index 00000000000000..7c7807b7cfcf0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline pipeline BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline_en_5.5.0_3.0_1727308319152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline_en_5.5.0_3.0_1727308319152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_from_bert_large_uncased_mrpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-mrpc_from_bert-large-uncased-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_news_ft_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_news_ft_en.md
new file mode 100644
index 00000000000000..76439d6b2bb6a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_news_ft_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_news_ft BertForSequenceClassification from GTsky
+author: John Snow Labs
+name: bert_base_uncased_news_ft
+date: 2024-09-25
+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_news_ft` is a English model originally trained by GTsky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_news_ft_en_5.5.0_3.0_1727307345511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_news_ft_en_5.5.0_3.0_1727307345511.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_news_ft|
+|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/GTsky/bert-base-uncased_news_ft
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_offenseval2019_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_offenseval2019_en.md
new file mode 100644
index 00000000000000..bb11ec190a502c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_offenseval2019_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_offenseval2019 BertForSequenceClassification from mohsenfayyaz
+author: John Snow Labs
+name: bert_base_uncased_offenseval2019
+date: 2024-09-25
+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_offenseval2019` is a English model originally trained by mohsenfayyaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_offenseval2019_en_5.5.0_3.0_1727291810242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_offenseval2019_en_5.5.0_3.0_1727291810242.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_offenseval2019|
+|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/mohsenfayyaz/bert-base-uncased-offenseval2019
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_offenseval2019_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_offenseval2019_pipeline_en.md
new file mode 100644
index 00000000000000..c625ef04aeeeae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_offenseval2019_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_offenseval2019_pipeline pipeline BertForSequenceClassification from mohsenfayyaz
+author: John Snow Labs
+name: bert_base_uncased_offenseval2019_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_offenseval2019_pipeline` is a English model originally trained by mohsenfayyaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_offenseval2019_pipeline_en_5.5.0_3.0_1727291831994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_offenseval2019_pipeline_en_5.5.0_3.0_1727291831994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_offenseval2019_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_offenseval2019_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_offenseval2019_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mohsenfayyaz/bert-base-uncased-offenseval2019
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_optuna_finetuned_cola_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_optuna_finetuned_cola_en.md
new file mode 100644
index 00000000000000..635e63305bc318
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_optuna_finetuned_cola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_optuna_finetuned_cola BertForSequenceClassification from ga21902298
+author: John Snow Labs
+name: bert_base_uncased_optuna_finetuned_cola
+date: 2024-09-25
+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_optuna_finetuned_cola` is a English model originally trained by ga21902298.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_optuna_finetuned_cola_en_5.5.0_3.0_1727290901458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_optuna_finetuned_cola_en_5.5.0_3.0_1727290901458.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_optuna_finetuned_cola|
+|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/ga21902298/bert-base-uncased-optuna-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_optuna_finetuned_cola_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_optuna_finetuned_cola_pipeline_en.md
new file mode 100644
index 00000000000000..dbbfa7e05a8f98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_optuna_finetuned_cola_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_optuna_finetuned_cola_pipeline pipeline BertForSequenceClassification from ga21902298
+author: John Snow Labs
+name: bert_base_uncased_optuna_finetuned_cola_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_optuna_finetuned_cola_pipeline` is a English model originally trained by ga21902298.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_optuna_finetuned_cola_pipeline_en_5.5.0_3.0_1727290927633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_optuna_finetuned_cola_pipeline_en_5.5.0_3.0_1727290927633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_optuna_finetuned_cola_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_optuna_finetuned_cola_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_optuna_finetuned_cola_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/ga21902298/bert-base-uncased-optuna-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qa_classification_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qa_classification_en.md
new file mode 100644
index 00000000000000..01721788d0b1f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qa_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_qa_classification BertForSequenceClassification from kgourgou
+author: John Snow Labs
+name: bert_base_uncased_qa_classification
+date: 2024-09-25
+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_qa_classification` is a English model originally trained by kgourgou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qa_classification_en_5.5.0_3.0_1727285884269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qa_classification_en_5.5.0_3.0_1727285884269.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_qa_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/kgourgou/bert-base-uncased-QA-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qnli_yoshitomo_matsubara_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qnli_yoshitomo_matsubara_en.md
new file mode 100644
index 00000000000000..070203175f2769
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qnli_yoshitomo_matsubara_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_qnli_yoshitomo_matsubara BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_qnli_yoshitomo_matsubara
+date: 2024-09-25
+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_qnli_yoshitomo_matsubara` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qnli_yoshitomo_matsubara_en_5.5.0_3.0_1727278867498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qnli_yoshitomo_matsubara_en_5.5.0_3.0_1727278867498.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_qnli_yoshitomo_matsubara|
+|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/yoshitomo-matsubara/bert-base-uncased-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qqp_epochs_2_lr_0_0001_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qqp_epochs_2_lr_0_0001_en.md
new file mode 100644
index 00000000000000..ba3481252694a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_qqp_epochs_2_lr_0_0001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_qqp_epochs_2_lr_0_0001 BertForSequenceClassification from prateeky2806
+author: John Snow Labs
+name: bert_base_uncased_qqp_epochs_2_lr_0_0001
+date: 2024-09-25
+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_qqp_epochs_2_lr_0_0001` is a English model originally trained by prateeky2806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_epochs_2_lr_0_0001_en_5.5.0_3.0_1727266030400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_epochs_2_lr_0_0001_en_5.5.0_3.0_1727266030400.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_qqp_epochs_2_lr_0_0001|
+|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/prateeky2806/bert-base-uncased-qqp-epochs-2-lr-0.0001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_review1_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_review1_en.md
new file mode 100644
index 00000000000000..d9a52a8ddf6450
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_review1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_review1 BertForSequenceClassification from Iresh88
+author: John Snow Labs
+name: bert_base_uncased_review1
+date: 2024-09-25
+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_review1` is a English model originally trained by Iresh88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_review1_en_5.5.0_3.0_1727267657446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_review1_en_5.5.0_3.0_1727267657446.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_review1|
+|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/Iresh88/bert-base-uncased-review1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst2_epochs_2_lr_0_0001_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst2_epochs_2_lr_0_0001_en.md
new file mode 100644
index 00000000000000..bbb1b3eaa0409e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst2_epochs_2_lr_0_0001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_epochs_2_lr_0_0001 BertForSequenceClassification from prateeky2806
+author: John Snow Labs
+name: bert_base_uncased_sst2_epochs_2_lr_0_0001
+date: 2024-09-25
+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_sst2_epochs_2_lr_0_0001` is a English model originally trained by prateeky2806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_epochs_2_lr_0_0001_en_5.5.0_3.0_1727306198154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_epochs_2_lr_0_0001_en_5.5.0_3.0_1727306198154.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_sst2_epochs_2_lr_0_0001|
+|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/prateeky2806/bert-base-uncased-sst2-epochs-2-lr-0.0001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst2_from_bert_large_uncased_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst2_from_bert_large_uncased_sst2_en.md
new file mode 100644
index 00000000000000..8fc338a381991e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst2_from_bert_large_uncased_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_from_bert_large_uncased_sst2 BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_sst2_from_bert_large_uncased_sst2
+date: 2024-09-25
+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_sst2_from_bert_large_uncased_sst2` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_from_bert_large_uncased_sst2_en_5.5.0_3.0_1727307468945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_from_bert_large_uncased_sst2_en_5.5.0_3.0_1727307468945.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_sst2_from_bert_large_uncased_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-sst2_from_bert-large-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..af6ca7d733384b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline pipeline BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst2_from_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_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline_en_5.5.0_3.0_1727307490789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline_en_5.5.0_3.0_1727307490789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst2_from_bert_large_uncased_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-sst2_from_bert-large-uncased-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst_pipeline_en.md
new file mode 100644
index 00000000000000..0342c34364d7a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_sst_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_sst_pipeline pipeline BertForSequenceClassification from pmthangk09
+author: John Snow Labs
+name: bert_base_uncased_sst_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst_pipeline` is a English model originally trained by pmthangk09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst_pipeline_en_5.5.0_3.0_1727278165896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst_pipeline_en_5.5.0_3.0_1727278165896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_sst_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_sst_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pmthangk09/bert-base-uncased-sst
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline_en.md
new file mode 100644
index 00000000000000..aa6026d59f50bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline pipeline BertForTokenClassification from ali2066
+author: John Snow Labs
+name: bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline_en_5.5.0_3.0_1727260609540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline_en_5.5.0_3.0_1727260609540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_token_itr0_0_0001_train_all_test_null__second_train_set_null_false_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/bert-base-uncased_token_itr0_0.0001_TRAIN_all_TEST_null__second_train_set_NULL_False
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_top_pruned_stsb_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_top_pruned_stsb_en.md
new file mode 100644
index 00000000000000..169e792641112a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_top_pruned_stsb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_top_pruned_stsb BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_top_pruned_stsb
+date: 2024-09-25
+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_top_pruned_stsb` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_stsb_en_5.5.0_3.0_1727289078804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_stsb_en_5.5.0_3.0_1727289078804.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_top_pruned_stsb|
+|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/senfu/bert-base-uncased-top-pruned-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_top_pruned_stsb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_top_pruned_stsb_pipeline_en.md
new file mode 100644
index 00000000000000..ab4e9261c13ecc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_top_pruned_stsb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_top_pruned_stsb_pipeline pipeline BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_top_pruned_stsb_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_top_pruned_stsb_pipeline` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_stsb_pipeline_en_5.5.0_3.0_1727289099975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_stsb_pipeline_en_5.5.0_3.0_1727289099975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_top_pruned_stsb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_top_pruned_stsb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_top_pruned_stsb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/senfu/bert-base-uncased-top-pruned-stsb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ver1_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ver1_en.md
new file mode 100644
index 00000000000000..735c360117f5df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_base_uncased_ver1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_ver1 BertForSequenceClassification from chanchongwei
+author: John Snow Labs
+name: bert_base_uncased_ver1
+date: 2024-09-25
+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_ver1` is a English model originally trained by chanchongwei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ver1_en_5.5.0_3.0_1727290881496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ver1_en_5.5.0_3.0_1727290881496.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_vietnamese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|vi|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ndbao2002/bert-base-vi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_based_burmese_securityllm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_based_burmese_securityllm_pipeline_en.md
new file mode 100644
index 00000000000000..29fcb65cb57e47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_based_burmese_securityllm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_based_burmese_securityllm_pipeline pipeline BertForSequenceClassification from GeorgeNhj
+author: John Snow Labs
+name: bert_based_burmese_securityllm_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_based_burmese_securityllm_pipeline` is a English model originally trained by GeorgeNhj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_based_burmese_securityllm_pipeline_en_5.5.0_3.0_1727303859982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_based_burmese_securityllm_pipeline_en_5.5.0_3.0_1727303859982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_based_burmese_securityllm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_based_burmese_securityllm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_based_burmese_securityllm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/GeorgeNhj/BERT_based_My_SecurityLLM
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_based_uncased_sst2_e5_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_based_uncased_sst2_e5_en.md
new file mode 100644
index 00000000000000..f9166b3949b3ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_based_uncased_sst2_e5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_based_uncased_sst2_e5 BertForSequenceClassification from EhsanAghazadeh
+author: John Snow Labs
+name: bert_based_uncased_sst2_e5
+date: 2024-09-25
+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_based_uncased_sst2_e5` is a English model originally trained by EhsanAghazadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_based_uncased_sst2_e5_en_5.5.0_3.0_1727306492905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_based_uncased_sst2_e5_en_5.5.0_3.0_1727306492905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_based_uncased_sst2_e5|
+|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/EhsanAghazadeh/bert-based-uncased-sst2-e5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_based_uncased_sst2_e5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_based_uncased_sst2_e5_pipeline_en.md
new file mode 100644
index 00000000000000..923037b607a9d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_based_uncased_sst2_e5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_based_uncased_sst2_e5_pipeline pipeline BertForSequenceClassification from EhsanAghazadeh
+author: John Snow Labs
+name: bert_based_uncased_sst2_e5_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_based_uncased_sst2_e5_pipeline` is a English model originally trained by EhsanAghazadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_based_uncased_sst2_e5_pipeline_en_5.5.0_3.0_1727306514723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_based_uncased_sst2_e5_pipeline_en_5.5.0_3.0_1727306514723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_based_uncased_sst2_e5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_based_uncased_sst2_e5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_based_uncased_sst2_e5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/EhsanAghazadeh/bert-based-uncased-sst2-e5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_classification_persian_emotion_fa.md b/docs/_posts/ahmedlone127/2024-09-25-bert_classification_persian_emotion_fa.md
new file mode 100644
index 00000000000000..2b4460ba2b9114
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_classification_persian_emotion_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian bert_classification_persian_emotion BertForSequenceClassification from NLPclass
+author: John Snow Labs
+name: bert_classification_persian_emotion
+date: 2024-09-25
+tags: [fa, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classification_persian_emotion` is a Persian model originally trained by NLPclass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classification_persian_emotion_fa_5.5.0_3.0_1727303213617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classification_persian_emotion_fa_5.5.0_3.0_1727303213617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classification_persian_emotion|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/NLPclass/bert_classification_persian_emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_classification_persian_emotion_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-25-bert_classification_persian_emotion_pipeline_fa.md
new file mode 100644
index 00000000000000..263242e001b31f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_classification_persian_emotion_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian bert_classification_persian_emotion_pipeline pipeline BertForSequenceClassification from NLPclass
+author: John Snow Labs
+name: bert_classification_persian_emotion_pipeline
+date: 2024-09-25
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classification_persian_emotion_pipeline` is a Persian model originally trained by NLPclass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classification_persian_emotion_pipeline_fa_5.5.0_3.0_1727303246242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classification_persian_emotion_pipeline_fa_5.5.0_3.0_1727303246242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_classification_persian_emotion_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_classification_persian_emotion_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classification_persian_emotion_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/NLPclass/bert_classification_persian_emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_daigt_models_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_daigt_models_en.md
new file mode 100644
index 00000000000000..46af07a2014a97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_daigt_models_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_daigt_models BertForSequenceClassification from zeyadusf
+author: John Snow Labs
+name: bert_daigt_models
+date: 2024-09-25
+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_daigt_models` is a English model originally trained by zeyadusf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_daigt_models_en_5.5.0_3.0_1727293771773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_daigt_models_en_5.5.0_3.0_1727293771773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_daigt_models|
+|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/zeyadusf/bert-DAIGT-MODELS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_daigt_models_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_daigt_models_pipeline_en.md
new file mode 100644
index 00000000000000..832815280a3735
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_daigt_models_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_daigt_models_pipeline pipeline BertForSequenceClassification from zeyadusf
+author: John Snow Labs
+name: bert_daigt_models_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_daigt_models_pipeline` is a English model originally trained by zeyadusf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_daigt_models_pipeline_en_5.5.0_3.0_1727293793651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_daigt_models_pipeline_en_5.5.0_3.0_1727293793651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_daigt_models_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_daigt_models_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_daigt_models_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/zeyadusf/bert-DAIGT-MODELS
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_emotion_en.md
new file mode 100644
index 00000000000000..8311ef3cc0001c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_emotion_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English bert_finetuned_emotion BertForSequenceClassification from PascalY
+author: John Snow Labs
+name: bert_finetuned_emotion
+date: 2024-09-25
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_emotion` is a English model originally trained by PascalY.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_emotion_en_5.5.0_3.0_1727291628041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_emotion_en_5.5.0_3.0_1727291628041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_emotion|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+References
+
+https://huggingface.co/PascalY/bert-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_emotion_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_emotion_pipeline_en.md
new file mode 100644
index 00000000000000..50392986843d02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_emotion_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_emotion_pipeline pipeline BertForSequenceClassification from IsmaelMousa
+author: John Snow Labs
+name: bert_finetuned_emotion_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_emotion_pipeline` is a English model originally trained by IsmaelMousa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_emotion_pipeline_en_5.5.0_3.0_1727291659349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_emotion_pipeline_en_5.5.0_3.0_1727291659349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_emotion_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_emotion_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_emotion_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/IsmaelMousa/bert-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_news_classifier_portuguese_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_news_classifier_portuguese_en.md
new file mode 100644
index 00000000000000..09f50c804f7ca7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_news_classifier_portuguese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_news_classifier_portuguese BertForSequenceClassification from ClaudianoLeonardo
+author: John Snow Labs
+name: bert_finetuned_news_classifier_portuguese
+date: 2024-09-25
+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_finetuned_news_classifier_portuguese` is a English model originally trained by ClaudianoLeonardo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_news_classifier_portuguese_en_5.5.0_3.0_1727291625352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_news_classifier_portuguese_en_5.5.0_3.0_1727291625352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_news_classifier_portuguese|
+|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/ClaudianoLeonardo/bert-finetuned_news_classifier-portuguese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_news_classifier_portuguese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_news_classifier_portuguese_pipeline_en.md
new file mode 100644
index 00000000000000..4ba75b550f060e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_news_classifier_portuguese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_news_classifier_portuguese_pipeline pipeline BertForSequenceClassification from ClaudianoLeonardo
+author: John Snow Labs
+name: bert_finetuned_news_classifier_portuguese_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_news_classifier_portuguese_pipeline` is a English model originally trained by ClaudianoLeonardo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_news_classifier_portuguese_pipeline_en_5.5.0_3.0_1727291657462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_news_classifier_portuguese_pipeline_en_5.5.0_3.0_1727291657462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_news_classifier_portuguese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_news_classifier_portuguese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_news_classifier_portuguese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ClaudianoLeonardo/bert-finetuned_news_classifier-portuguese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_sarasarasara_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_sarasarasara_en.md
new file mode 100644
index 00000000000000..358f6e41b43994
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_sarasarasara_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_semitic_languages_eval_english_sarasarasara BertForSequenceClassification from sarasarasara
+author: John Snow Labs
+name: bert_finetuned_semitic_languages_eval_english_sarasarasara
+date: 2024-09-25
+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_finetuned_semitic_languages_eval_english_sarasarasara` is a English model originally trained by sarasarasara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_sarasarasara_en_5.5.0_3.0_1727308353349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_sarasarasara_en_5.5.0_3.0_1727308353349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_semitic_languages_eval_english_sarasarasara|
+|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/sarasarasara/bert-finetuned-sem_eval-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline_en.md
new file mode 100644
index 00000000000000..e472eb99e2d0e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline pipeline BertForSequenceClassification from sarasarasara
+author: John Snow Labs
+name: bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline` is a English model originally trained by sarasarasara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline_en_5.5.0_3.0_1727308375040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline_en_5.5.0_3.0_1727308375040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_semitic_languages_eval_english_sarasarasara_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sarasarasara/bert-finetuned-sem_eval-english
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_weibo_luobokuaipao_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_weibo_luobokuaipao_en.md
new file mode 100644
index 00000000000000..298af023ef8359
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_weibo_luobokuaipao_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_weibo_luobokuaipao BertForSequenceClassification from wsqstar
+author: John Snow Labs
+name: bert_finetuned_weibo_luobokuaipao
+date: 2024-09-25
+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_finetuned_weibo_luobokuaipao` is a English model originally trained by wsqstar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_weibo_luobokuaipao_en_5.5.0_3.0_1727298790588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_weibo_luobokuaipao_en_5.5.0_3.0_1727298790588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_weibo_luobokuaipao|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/wsqstar/bert-finetuned-weibo-luobokuaipao
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_weibo_luobokuaipao_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_weibo_luobokuaipao_pipeline_en.md
new file mode 100644
index 00000000000000..c7d0832277f1f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuned_weibo_luobokuaipao_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_weibo_luobokuaipao_pipeline pipeline BertForSequenceClassification from wsqstar
+author: John Snow Labs
+name: bert_finetuned_weibo_luobokuaipao_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_weibo_luobokuaipao_pipeline` is a English model originally trained by wsqstar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_weibo_luobokuaipao_pipeline_en_5.5.0_3.0_1727298811142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_weibo_luobokuaipao_pipeline_en_5.5.0_3.0_1727298811142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_weibo_luobokuaipao_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_weibo_luobokuaipao_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_weibo_luobokuaipao_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/wsqstar/bert-finetuned-weibo-luobokuaipao
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuning_test_qingtan007_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuning_test_qingtan007_en.md
new file mode 100644
index 00000000000000..0d39b0011349fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuning_test_qingtan007_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuning_test_qingtan007 BertForSequenceClassification from qingtan007
+author: John Snow Labs
+name: bert_finetuning_test_qingtan007
+date: 2024-09-25
+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_finetuning_test_qingtan007` is a English model originally trained by qingtan007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_qingtan007_en_5.5.0_3.0_1727305913121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_qingtan007_en_5.5.0_3.0_1727305913121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_qingtan007|
+|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/qingtan007/bert_finetuning_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finetuning_test_qingtan007_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuning_test_qingtan007_pipeline_en.md
new file mode 100644
index 00000000000000..65846510d1a6b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finetuning_test_qingtan007_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuning_test_qingtan007_pipeline pipeline BertForSequenceClassification from qingtan007
+author: John Snow Labs
+name: bert_finetuning_test_qingtan007_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_finetuning_test_qingtan007_pipeline` is a English model originally trained by qingtan007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_qingtan007_pipeline_en_5.5.0_3.0_1727305937632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_qingtan007_pipeline_en_5.5.0_3.0_1727305937632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuning_test_qingtan007_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuning_test_qingtan007_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_qingtan007_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/qingtan007/bert_finetuning_test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_finnish_sentiment_analysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_finnish_sentiment_analysis_pipeline_en.md
new file mode 100644
index 00000000000000..89acc9758200af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_finnish_sentiment_analysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finnish_sentiment_analysis_pipeline pipeline BertForSequenceClassification from nisancoskun
+author: John Snow Labs
+name: bert_finnish_sentiment_analysis_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_finnish_sentiment_analysis_pipeline` is a English model originally trained by nisancoskun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finnish_sentiment_analysis_pipeline_en_5.5.0_3.0_1727263548236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finnish_sentiment_analysis_pipeline_en_5.5.0_3.0_1727263548236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finnish_sentiment_analysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finnish_sentiment_analysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finnish_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.9 MB|
+
+## References
+
+https://huggingface.co/nisancoskun/bert-finnish-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_hatespeechrecognition_german_de.md b/docs/_posts/ahmedlone127/2024-09-25-bert_hatespeechrecognition_german_de.md
new file mode 100644
index 00000000000000..f0b5a7fdc702dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_hatespeechrecognition_german_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German bert_hatespeechrecognition_german BertForSequenceClassification from jorgeortizv
+author: John Snow Labs
+name: bert_hatespeechrecognition_german
+date: 2024-09-25
+tags: [de, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: de
+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_hatespeechrecognition_german` is a German model originally trained by jorgeortizv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_hatespeechrecognition_german_de_5.5.0_3.0_1727305141301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_hatespeechrecognition_german_de_5.5.0_3.0_1727305141301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_hatespeechrecognition_german|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/jorgeortizv/BERT-hateSpeechRecognition-German
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_book_genre_classification_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_book_genre_classification_en.md
new file mode 100644
index 00000000000000..ac79ea057933f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_book_genre_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_book_genre_classification BertForSequenceClassification from TenzinGayche
+author: John Snow Labs
+name: bert_large_book_genre_classification
+date: 2024-09-25
+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_large_book_genre_classification` is a English model originally trained by TenzinGayche.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_book_genre_classification_en_5.5.0_3.0_1727306575800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_book_genre_classification_en_5.5.0_3.0_1727306575800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_book_genre_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/TenzinGayche/Bert-large-book-genre-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_fever_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_fever_en.md
new file mode 100644
index 00000000000000..9256d681d69592
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_fever_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_cased_fever BertForSequenceClassification from sagnikrayc
+author: John Snow Labs
+name: bert_large_cased_fever
+date: 2024-09-25
+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_large_cased_fever` is a English model originally trained by sagnikrayc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_fever_en_5.5.0_3.0_1727286936866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_fever_en_5.5.0_3.0_1727286936866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_fever|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/sagnikrayc/bert-large-cased-fever
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_fever_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_fever_pipeline_en.md
new file mode 100644
index 00000000000000..b3311a38723bbd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_cased_fever_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_cased_fever_pipeline pipeline BertForSequenceClassification from sagnikrayc
+author: John Snow Labs
+name: bert_large_cased_fever_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_cased_fever_pipeline` is a English model originally trained by sagnikrayc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_fever_pipeline_en_5.5.0_3.0_1727287003215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_fever_pipeline_en_5.5.0_3.0_1727287003215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_cased_fever_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_cased_fever_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_fever_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/sagnikrayc/bert-large-cased-fever
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_portuguese_archive_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_portuguese_archive_en.md
new file mode 100644
index 00000000000000..669b8a6f9fbb4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_portuguese_archive_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_portuguese_archive BertForTokenClassification from lfcc
+author: John Snow Labs
+name: bert_large_portuguese_archive
+date: 2024-09-25
+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_large_portuguese_archive` is a English model originally trained by lfcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_portuguese_archive_en_5.5.0_3.0_1727270916661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_portuguese_archive_en_5.5.0_3.0_1727270916661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_portuguese_archive|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/lfcc/bert-large-pt-archive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_sst2_en.md
new file mode 100644
index 00000000000000..0018d76e0ea604
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_sst2 BertForSequenceClassification from Cheng98
+author: John Snow Labs
+name: bert_large_sst2
+date: 2024-09-25
+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_large_sst2` is a English model originally trained by Cheng98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_sst2_en_5.5.0_3.0_1727297317648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_sst2_en_5.5.0_3.0_1727297317648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Cheng98/bert-large-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..d244c811f1d967
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_sst2_pipeline pipeline BertForSequenceClassification from Cheng98
+author: John Snow Labs
+name: bert_large_sst2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_sst2_pipeline` is a English model originally trained by Cheng98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_sst2_pipeline_en_5.5.0_3.0_1727297384450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_sst2_pipeline_en_5.5.0_3.0_1727297384450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Cheng98/bert-large-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_deletion_multiclass_complete_final_v2_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_deletion_multiclass_complete_final_v2_en.md
new file mode 100644
index 00000000000000..0679b58517bc5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_deletion_multiclass_complete_final_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_deletion_multiclass_complete_final_v2 BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_large_uncased_deletion_multiclass_complete_final_v2
+date: 2024-09-25
+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_large_uncased_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/bert_large_uncased_deletion_multiclass_complete_final_v2_en_5.5.0_3.0_1727288141519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_deletion_multiclass_complete_final_v2_en_5.5.0_3.0_1727288141519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_deletion_multiclass_complete_final_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/bert-large-uncased_deletion_multiclass_complete_final_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_finetuned_edos_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_finetuned_edos_en.md
new file mode 100644
index 00000000000000..8c995945ee853a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_finetuned_edos_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_edos BertForSequenceClassification from reinforz
+author: John Snow Labs
+name: bert_large_uncased_finetuned_edos
+date: 2024-09-25
+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_large_uncased_finetuned_edos` is a English model originally trained by reinforz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_edos_en_5.5.0_3.0_1727269327376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_edos_en_5.5.0_3.0_1727269327376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_edos|
+|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/reinforz/bert-large-uncased-finetuned-edos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_stsb_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_stsb_en.md
new file mode 100644
index 00000000000000..196d32ce8a78d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_stsb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_stsb BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_stsb
+date: 2024-09-25
+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_large_uncased_stsb` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_stsb_en_5.5.0_3.0_1727293117081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_stsb_en_5.5.0_3.0_1727293117081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_stsb|
+|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/yoshitomo-matsubara/bert-large-uncased-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_stsb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_stsb_pipeline_en.md
new file mode 100644
index 00000000000000..77def2b4515700
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_large_uncased_stsb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_stsb_pipeline pipeline BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_stsb_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_stsb_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_stsb_pipeline_en_5.5.0_3.0_1727293179697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_stsb_pipeline_en_5.5.0_3.0_1727293179697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_stsb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_stsb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_stsb_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-stsb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_mrpc_glue_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_mrpc_glue_en.md
new file mode 100644
index 00000000000000..2c7567cc4a4991
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_mrpc_glue_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_mrpc_glue BertForSequenceClassification from itabrez
+author: John Snow Labs
+name: bert_mrpc_glue
+date: 2024-09-25
+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_mrpc_glue` is a English model originally trained by itabrez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mrpc_glue_en_5.5.0_3.0_1727307792599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mrpc_glue_en_5.5.0_3.0_1727307792599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mrpc_glue|
+|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/itabrez/bert-mrpc-glue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_political_leaning_italian_it.md b/docs/_posts/ahmedlone127/2024-09-25-bert_political_leaning_italian_it.md
new file mode 100644
index 00000000000000..edae4436239dc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_political_leaning_italian_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian bert_political_leaning_italian BertForSequenceClassification from MattiaSangermano
+author: John Snow Labs
+name: bert_political_leaning_italian
+date: 2024-09-25
+tags: [it, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_political_leaning_italian` is a Italian model originally trained by MattiaSangermano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_political_leaning_italian_it_5.5.0_3.0_1727294229559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_political_leaning_italian_it_5.5.0_3.0_1727294229559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_political_leaning_italian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/MattiaSangermano/bert-political-leaning-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_political_leaning_italian_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-25-bert_political_leaning_italian_pipeline_it.md
new file mode 100644
index 00000000000000..bc53653354cb57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_political_leaning_italian_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian bert_political_leaning_italian_pipeline pipeline BertForSequenceClassification from MattiaSangermano
+author: John Snow Labs
+name: bert_political_leaning_italian_pipeline
+date: 2024-09-25
+tags: [it, open_source, pipeline, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_political_leaning_italian_pipeline` is a Italian model originally trained by MattiaSangermano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_political_leaning_italian_pipeline_it_5.5.0_3.0_1727294252451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_political_leaning_italian_pipeline_it_5.5.0_3.0_1727294252451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_political_leaning_italian_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_political_leaning_italian_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_political_leaning_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|414.9 MB|
+
+## References
+
+https://huggingface.co/MattiaSangermano/bert-political-leaning-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_pooling_based_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_pooling_based_pipeline_en.md
new file mode 100644
index 00000000000000..1d0c796c9dbe07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_pooling_based_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_pooling_based_pipeline pipeline BertForSequenceClassification from elifcen
+author: John Snow Labs
+name: bert_pooling_based_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_pooling_based_pipeline` is a English model originally trained by elifcen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_pooling_based_pipeline_en_5.5.0_3.0_1727284856124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_pooling_based_pipeline_en_5.5.0_3.0_1727284856124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_pooling_based_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_pooling_based_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_pooling_based_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/elifcen/bert-pooling-based
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_pretrained_wikitext_2_raw_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_pretrained_wikitext_2_raw_v1_pipeline_en.md
new file mode 100644
index 00000000000000..59e0540187f7cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_pretrained_wikitext_2_raw_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_pretrained_wikitext_2_raw_v1_pipeline pipeline BertEmbeddings from dimpo
+author: John Snow Labs
+name: bert_pretrained_wikitext_2_raw_v1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark 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_pretrained_wikitext_2_raw_v1_pipeline` is a English model originally trained by dimpo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_pretrained_wikitext_2_raw_v1_pipeline_en_5.5.0_3.0_1727256213343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_pretrained_wikitext_2_raw_v1_pipeline_en_5.5.0_3.0_1727256213343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_pretrained_wikitext_2_raw_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_pretrained_wikitext_2_raw_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_pretrained_wikitext_2_raw_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/dimpo/bert-pretrained-wikitext-2-raw-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_protein_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_protein_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..923f81071d1015
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_protein_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_protein_classifier_pipeline pipeline BertForSequenceClassification from oohtmeel
+author: John Snow Labs
+name: bert_protein_classifier_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_protein_classifier_pipeline` is a English model originally trained by oohtmeel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_protein_classifier_pipeline_en_5.5.0_3.0_1727266466500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_protein_classifier_pipeline_en_5.5.0_3.0_1727266466500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_protein_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_protein_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_protein_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/oohtmeel/Bert_protein_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_sanskrit_saskta_test_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_sanskrit_saskta_test_en.md
new file mode 100644
index 00000000000000..355127eece55da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_sanskrit_saskta_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sanskrit_saskta_test BertForSequenceClassification from ilham14
+author: John Snow Labs
+name: bert_sanskrit_saskta_test
+date: 2024-09-25
+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_sanskrit_saskta_test` is a English model originally trained by ilham14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sanskrit_saskta_test_en_5.5.0_3.0_1727273584258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sanskrit_saskta_test_en_5.5.0_3.0_1727273584258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sanskrit_saskta_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|423.1 MB|
+
+## References
+
+https://huggingface.co/ilham14/BERT-SA-Test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_small_64_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_small_64_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..6f69f98a99ddcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_small_64_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_small_64_finetuned_pipeline pipeline BertForSequenceClassification from ryantaw
+author: John Snow Labs
+name: bert_small_64_finetuned_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_small_64_finetuned_pipeline` is a English model originally trained by ryantaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_64_finetuned_pipeline_en_5.5.0_3.0_1727291864586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_64_finetuned_pipeline_en_5.5.0_3.0_1727291864586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_small_64_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_small_64_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_64_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|108.0 MB|
+
+## References
+
+https://huggingface.co/ryantaw/bert-small-64-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_sst2_padding70model_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_sst2_padding70model_en.md
new file mode 100644
index 00000000000000..500105fade57d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_sst2_padding70model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sst2_padding70model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst2_padding70model
+date: 2024-09-25
+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_sst2_padding70model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst2_padding70model_en_5.5.0_3.0_1727287018846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst2_padding70model_en_5.5.0_3.0_1727287018846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst2_padding70model|
+|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/Realgon/bert_sst2_padding70model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_sst2_padding90model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_sst2_padding90model_pipeline_en.md
new file mode 100644
index 00000000000000..01af94bfde8706
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_sst2_padding90model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_sst2_padding90model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst2_padding90model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_sst2_padding90model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst2_padding90model_pipeline_en_5.5.0_3.0_1727307641366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst2_padding90model_pipeline_en_5.5.0_3.0_1727307641366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sst2_padding90model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sst2_padding90model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst2_padding90model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/bert_sst2_padding90model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_sst5_padding50model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_sst5_padding50model_pipeline_en.md
new file mode 100644
index 00000000000000..d8a6ab5e2a652a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_sst5_padding50model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_sst5_padding50model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst5_padding50model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_sst5_padding50model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst5_padding50model_pipeline_en_5.5.0_3.0_1727287970205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst5_padding50model_pipeline_en_5.5.0_3.0_1727287970205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sst5_padding50model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sst5_padding50model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst5_padding50model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/bert_sst5_padding50model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_sst5_padding90model_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_sst5_padding90model_en.md
new file mode 100644
index 00000000000000..a5be73cb8ee585
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_sst5_padding90model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sst5_padding90model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst5_padding90model
+date: 2024-09-25
+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_sst5_padding90model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst5_padding90model_en_5.5.0_3.0_1727305778089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst5_padding90model_en_5.5.0_3.0_1727305778089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst5_padding90model|
+|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/Realgon/bert_sst5_padding90model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_subjective_amazon_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_subjective_amazon_en.md
new file mode 100644
index 00000000000000..0d93a781eb1c34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_subjective_amazon_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_subjective_amazon BertForSequenceClassification from MTOrange
+author: John Snow Labs
+name: bert_subjective_amazon
+date: 2024-09-25
+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_subjective_amazon` is a English model originally trained by MTOrange.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_subjective_amazon_en_5.5.0_3.0_1727294738490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_subjective_amazon_en_5.5.0_3.0_1727294738490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_subjective_amazon|
+|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/MTOrange/bert-subjective-amazon
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_subjective_amazon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_subjective_amazon_pipeline_en.md
new file mode 100644
index 00000000000000..896a93ea40f74f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_subjective_amazon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_subjective_amazon_pipeline pipeline BertForSequenceClassification from MTOrange
+author: John Snow Labs
+name: bert_subjective_amazon_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_subjective_amazon_pipeline` is a English model originally trained by MTOrange.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_subjective_amazon_pipeline_en_5.5.0_3.0_1727294759872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_subjective_amazon_pipeline_en_5.5.0_3.0_1727294759872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_subjective_amazon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_subjective_amazon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_subjective_amazon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/MTOrange/bert-subjective-amazon
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_turkish_text_classification_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-25-bert_turkish_text_classification_pipeline_tr.md
new file mode 100644
index 00000000000000..4c19c070711b49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_turkish_text_classification_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish bert_turkish_text_classification_pipeline pipeline BertForSequenceClassification from Marzu39
+author: John Snow Labs
+name: bert_turkish_text_classification_pipeline
+date: 2024-09-25
+tags: [tr, open_source, pipeline, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_turkish_text_classification_pipeline` is a Turkish model originally trained by Marzu39.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_turkish_text_classification_pipeline_tr_5.5.0_3.0_1727308218490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_turkish_text_classification_pipeline_tr_5.5.0_3.0_1727308218490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_turkish_text_classification_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_turkish_text_classification_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_turkish_text_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|691.2 MB|
+
+## References
+
+https://huggingface.co/Marzu39/bert-turkish-text-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_turkish_text_classification_tr.md b/docs/_posts/ahmedlone127/2024-09-25-bert_turkish_text_classification_tr.md
new file mode 100644
index 00000000000000..fe719c53d19ec7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_turkish_text_classification_tr.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: Turkish bert_turkish_text_classification BertForSequenceClassification from akdeniz27
+author: John Snow Labs
+name: bert_turkish_text_classification
+date: 2024-09-25
+tags: [bert, tr, open_source, sequence_classification, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_turkish_text_classification` is a Turkish model originally trained by akdeniz27.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_turkish_text_classification_tr_5.5.0_3.0_1727308182196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_turkish_text_classification_tr_5.5.0_3.0_1727308182196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_turkish_text_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|691.2 MB|
+
+## References
+
+References
+
+https://huggingface.co/akdeniz27/bert-turkish-text-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bert_twitterfin_padding0model_en.md b/docs/_posts/ahmedlone127/2024-09-25-bert_twitterfin_padding0model_en.md
new file mode 100644
index 00000000000000..ec7ed6b30c4c28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bert_twitterfin_padding0model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_twitterfin_padding0model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_twitterfin_padding0model
+date: 2024-09-25
+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_twitterfin_padding0model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding0model_en_5.5.0_3.0_1727285742949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding0model_en_5.5.0_3.0_1727285742949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_twitterfin_padding0model|
+|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/Realgon/bert_twitterfin_padding0model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bertdisinfdetect_en.md b/docs/_posts/ahmedlone127/2024-09-25-bertdisinfdetect_en.md
new file mode 100644
index 00000000000000..32fad0f89d39db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bertdisinfdetect_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bertdisinfdetect BertForSequenceClassification from ananya122
+author: John Snow Labs
+name: bertdisinfdetect
+date: 2024-09-25
+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.`bertdisinfdetect` is a English model originally trained by ananya122.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertdisinfdetect_en_5.5.0_3.0_1727290777193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertdisinfdetect_en_5.5.0_3.0_1727290777193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertdisinfdetect|
+|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/ananya122/bertdisinfdetect
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bertdisinfdetect_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bertdisinfdetect_pipeline_en.md
new file mode 100644
index 00000000000000..df18327a3f2eb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bertdisinfdetect_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertdisinfdetect_pipeline pipeline BertForSequenceClassification from ananya122
+author: John Snow Labs
+name: bertdisinfdetect_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`bertdisinfdetect_pipeline` is a English model originally trained by ananya122.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertdisinfdetect_pipeline_en_5.5.0_3.0_1727290799383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertdisinfdetect_pipeline_en_5.5.0_3.0_1727290799383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertdisinfdetect_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertdisinfdetect_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertdisinfdetect_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ananya122/bertdisinfdetect
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-best_model_sst_2_16_13_en.md b/docs/_posts/ahmedlone127/2024-09-25-best_model_sst_2_16_13_en.md
new file mode 100644
index 00000000000000..ea1bea2955fb81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-best_model_sst_2_16_13_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English best_model_sst_2_16_13 BertForSequenceClassification from simonycl
+author: John Snow Labs
+name: best_model_sst_2_16_13
+date: 2024-09-25
+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.`best_model_sst_2_16_13` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_model_sst_2_16_13_en_5.5.0_3.0_1727289303733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_model_sst_2_16_13_en_5.5.0_3.0_1727289303733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|best_model_sst_2_16_13|
+|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/simonycl/best_model-sst-2-16-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-best_model_sst_2_16_13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-best_model_sst_2_16_13_pipeline_en.md
new file mode 100644
index 00000000000000..d2c3f0696c29f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-best_model_sst_2_16_13_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English best_model_sst_2_16_13_pipeline pipeline BertForSequenceClassification from simonycl
+author: John Snow Labs
+name: best_model_sst_2_16_13_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`best_model_sst_2_16_13_pipeline` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_model_sst_2_16_13_pipeline_en_5.5.0_3.0_1727289334926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_model_sst_2_16_13_pipeline_en_5.5.0_3.0_1727289334926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("best_model_sst_2_16_13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("best_model_sst_2_16_13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|best_model_sst_2_16_13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/simonycl/best_model-sst-2-16-13
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-beto_sentiment_analysis_finetuned_onpremise_en.md b/docs/_posts/ahmedlone127/2024-09-25-beto_sentiment_analysis_finetuned_onpremise_en.md
new file mode 100644
index 00000000000000..af8f0d580d4e0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-beto_sentiment_analysis_finetuned_onpremise_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English beto_sentiment_analysis_finetuned_onpremise BertForSequenceClassification from Cristian-dcg
+author: John Snow Labs
+name: beto_sentiment_analysis_finetuned_onpremise
+date: 2024-09-25
+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.`beto_sentiment_analysis_finetuned_onpremise` is a English model originally trained by Cristian-dcg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_onpremise_en_5.5.0_3.0_1727263924878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_onpremise_en_5.5.0_3.0_1727263924878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_sentiment_analysis_finetuned_onpremise|
+|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/Cristian-dcg/beto-sentiment-analysis-finetuned-onpremise
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-biomednlp_pubmedbert_proteinstructure_ner_v1_2_en.md b/docs/_posts/ahmedlone127/2024-09-25-biomednlp_pubmedbert_proteinstructure_ner_v1_2_en.md
new file mode 100644
index 00000000000000..ddde74c0c9bf6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-biomednlp_pubmedbert_proteinstructure_ner_v1_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_proteinstructure_ner_v1_2 BertForTokenClassification from PDBEurope
+author: John Snow Labs
+name: biomednlp_pubmedbert_proteinstructure_ner_v1_2
+date: 2024-09-25
+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.`biomednlp_pubmedbert_proteinstructure_ner_v1_2` is a English model originally trained by PDBEurope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v1_2_en_5.5.0_3.0_1727275537296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v1_2_en_5.5.0_3.0_1727275537296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_proteinstructure_ner_v1_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-boss_sentiment_1500_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-boss_sentiment_1500_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..537c141afbeaa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-boss_sentiment_1500_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English boss_sentiment_1500_bert_base_uncased_pipeline pipeline BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: boss_sentiment_1500_bert_base_uncased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`boss_sentiment_1500_bert_base_uncased_pipeline` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boss_sentiment_1500_bert_base_uncased_pipeline_en_5.5.0_3.0_1727267529999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boss_sentiment_1500_bert_base_uncased_pipeline_en_5.5.0_3.0_1727267529999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("boss_sentiment_1500_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("boss_sentiment_1500_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boss_sentiment_1500_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kyle1668/boss-sentiment-1500-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-boss_toxicity_48000_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-25-boss_toxicity_48000_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..a10308bd8dea65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-boss_toxicity_48000_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English boss_toxicity_48000_bert_base_uncased BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: boss_toxicity_48000_bert_base_uncased
+date: 2024-09-25
+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.`boss_toxicity_48000_bert_base_uncased` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boss_toxicity_48000_bert_base_uncased_en_5.5.0_3.0_1727301981520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boss_toxicity_48000_bert_base_uncased_en_5.5.0_3.0_1727301981520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boss_toxicity_48000_bert_base_uncased|
+|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/Kyle1668/boss-toxicity-48000-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-boss_toxicity_48000_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-boss_toxicity_48000_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..3555ef066b9ac4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-boss_toxicity_48000_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English boss_toxicity_48000_bert_base_uncased_pipeline pipeline BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: boss_toxicity_48000_bert_base_uncased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`boss_toxicity_48000_bert_base_uncased_pipeline` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boss_toxicity_48000_bert_base_uncased_pipeline_en_5.5.0_3.0_1727302003503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boss_toxicity_48000_bert_base_uncased_pipeline_en_5.5.0_3.0_1727302003503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("boss_toxicity_48000_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("boss_toxicity_48000_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boss_toxicity_48000_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kyle1668/boss-toxicity-48000-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-bp_int_i04_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-bp_int_i04_pipeline_en.md
new file mode 100644
index 00000000000000..6d494a8f959b29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-bp_int_i04_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bp_int_i04_pipeline pipeline BertForSequenceClassification from Anwaarma
+author: John Snow Labs
+name: bp_int_i04_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`bp_int_i04_pipeline` is a English model originally trained by Anwaarma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bp_int_i04_pipeline_en_5.5.0_3.0_1727268839280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bp_int_i04_pipeline_en_5.5.0_3.0_1727268839280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bp_int_i04_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bp_int_i04_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bp_int_i04_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/Anwaarma/BP-INT-I04
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_model_mishig_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_model_mishig_pipeline_en.md
new file mode 100644
index 00000000000000..27cf19906a3403
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_model_mishig_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_mishig_pipeline pipeline BertForSequenceClassification from mishig
+author: John Snow Labs
+name: burmese_awesome_model_mishig_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`burmese_awesome_model_mishig_pipeline` is a English model originally trained by mishig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mishig_pipeline_en_5.5.0_3.0_1727305828308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mishig_pipeline_en_5.5.0_3.0_1727305828308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_mishig_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_mishig_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_mishig_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mishig/my-awesome-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_pubmed_bert_en.md b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_pubmed_bert_en.md
new file mode 100644
index 00000000000000..c1e3fed632bc60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-burmese_awesome_pubmed_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_pubmed_bert BertForTokenClassification from arunavsk1
+author: John Snow Labs
+name: burmese_awesome_pubmed_bert
+date: 2024-09-25
+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.`burmese_awesome_pubmed_bert` is a English model originally trained by arunavsk1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_pubmed_bert_en_5.5.0_3.0_1727247446957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_pubmed_bert_en_5.5.0_3.0_1727247446957.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_pubmed_bert|
+|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/arunavsk1/my-awesome-pubmed-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-chinese_roberta_climate_related_prediction_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-chinese_roberta_climate_related_prediction_v2_pipeline_en.md
new file mode 100644
index 00000000000000..c3c1d4f00e0108
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-chinese_roberta_climate_related_prediction_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English chinese_roberta_climate_related_prediction_v2_pipeline pipeline BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: chinese_roberta_climate_related_prediction_v2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_roberta_climate_related_prediction_v2_pipeline` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_climate_related_prediction_v2_pipeline_en_5.5.0_3.0_1727306209527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_climate_related_prediction_v2_pipeline_en_5.5.0_3.0_1727306209527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chinese_roberta_climate_related_prediction_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chinese_roberta_climate_related_prediction_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_climate_related_prediction_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/hw2942/chinese-roberta-climate-related-prediction-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cola_6ep_ft_47_en.md b/docs/_posts/ahmedlone127/2024-09-25-cola_6ep_ft_47_en.md
new file mode 100644
index 00000000000000..68985396c97bdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cola_6ep_ft_47_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cola_6ep_ft_47 BertForSequenceClassification from connectivity
+author: John Snow Labs
+name: cola_6ep_ft_47
+date: 2024-09-25
+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.`cola_6ep_ft_47` is a English model originally trained by connectivity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cola_6ep_ft_47_en_5.5.0_3.0_1727289461341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cola_6ep_ft_47_en_5.5.0_3.0_1727289461341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cola_6ep_ft_47|
+|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/connectivity/cola_6ep_ft-47
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cola_6ep_ft_47_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-cola_6ep_ft_47_pipeline_en.md
new file mode 100644
index 00000000000000..bfe9c2649887a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cola_6ep_ft_47_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cola_6ep_ft_47_pipeline pipeline BertForSequenceClassification from connectivity
+author: John Snow Labs
+name: cola_6ep_ft_47_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`cola_6ep_ft_47_pipeline` is a English model originally trained by connectivity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cola_6ep_ft_47_pipeline_en_5.5.0_3.0_1727289482735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cola_6ep_ft_47_pipeline_en_5.5.0_3.0_1727289482735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cola_6ep_ft_47_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cola_6ep_ft_47_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cola_6ep_ft_47_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/connectivity/cola_6ep_ft-47
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr14_seed0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr14_seed0_pipeline_en.md
new file mode 100644
index 00000000000000..ad1691ae8319ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr14_seed0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr14_seed0_pipeline pipeline BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr14_seed0_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`cold_fusion_bert_base_uncased_itr14_seed0_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr14_seed0_pipeline_en_5.5.0_3.0_1727289634015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr14_seed0_pipeline_en_5.5.0_3.0_1727289634015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_bert_base_uncased_itr14_seed0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_bert_base_uncased_itr14_seed0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_bert_base_uncased_itr14_seed0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-bert-base-uncased-itr14-seed0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr20_seed0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr20_seed0_pipeline_en.md
new file mode 100644
index 00000000000000..97bef45a6e9d16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr20_seed0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr20_seed0_pipeline pipeline BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr20_seed0_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`cold_fusion_bert_base_uncased_itr20_seed0_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr20_seed0_pipeline_en_5.5.0_3.0_1727289833005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr20_seed0_pipeline_en_5.5.0_3.0_1727289833005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_bert_base_uncased_itr20_seed0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_bert_base_uncased_itr20_seed0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_bert_base_uncased_itr20_seed0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-bert-base-uncased-itr20-seed0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_en.md b/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_en.md
new file mode 100644
index 00000000000000..dc33b92e614201
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl BertForSequenceClassification from jakub014
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl
+date: 2024-09-25
+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.`cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl` is a English model originally trained by jakub014.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_en_5.5.0_3.0_1727291286031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_en_5.5.0_3.0_1727291286031.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_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl|
+|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/jakub014/ColD-Fusion-bert-base-uncased-itr23-seed0-finetuned-effectiveness-dagstuhl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline_en.md
new file mode 100644
index 00000000000000..6b986e8aeac080
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline pipeline BertForSequenceClassification from jakub014
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline` is a English model originally trained by jakub014.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline_en_5.5.0_3.0_1727291307499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline_en_5.5.0_3.0_1727291307499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_bert_base_uncased_itr23_seed0_finetuned_effectiveness_dagstuhl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jakub014/ColD-Fusion-bert-base-uncased-itr23-seed0-finetuned-effectiveness-dagstuhl
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-conflibert_satp_relevant_multilabel_en.md b/docs/_posts/ahmedlone127/2024-09-25-conflibert_satp_relevant_multilabel_en.md
new file mode 100644
index 00000000000000..cf96bc237923cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-conflibert_satp_relevant_multilabel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English conflibert_satp_relevant_multilabel BertForSequenceClassification from eventdata-utd
+author: John Snow Labs
+name: conflibert_satp_relevant_multilabel
+date: 2024-09-25
+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.`conflibert_satp_relevant_multilabel` is a English model originally trained by eventdata-utd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/conflibert_satp_relevant_multilabel_en_5.5.0_3.0_1727303279023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/conflibert_satp_relevant_multilabel_en_5.5.0_3.0_1727303279023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|conflibert_satp_relevant_multilabel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/eventdata-utd/conflibert-satp-relevant-multilabel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-core_clinical_mortality_prediction_en.md b/docs/_posts/ahmedlone127/2024-09-25-core_clinical_mortality_prediction_en.md
new file mode 100644
index 00000000000000..1dc323dcdcf5af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-core_clinical_mortality_prediction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English core_clinical_mortality_prediction BertForSequenceClassification from DATEXIS
+author: John Snow Labs
+name: core_clinical_mortality_prediction
+date: 2024-09-25
+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.`core_clinical_mortality_prediction` is a English model originally trained by DATEXIS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/core_clinical_mortality_prediction_en_5.5.0_3.0_1727307100245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/core_clinical_mortality_prediction_en_5.5.0_3.0_1727307100245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|core_clinical_mortality_prediction|
+|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/DATEXIS/CORe-clinical-mortality-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-covid_vaccine_sentiment_analysis_bert_based_model_en.md b/docs/_posts/ahmedlone127/2024-09-25-covid_vaccine_sentiment_analysis_bert_based_model_en.md
new file mode 100644
index 00000000000000..742378c166d6f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-covid_vaccine_sentiment_analysis_bert_based_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English covid_vaccine_sentiment_analysis_bert_based_model BertForSequenceClassification from NewtonKimathi
+author: John Snow Labs
+name: covid_vaccine_sentiment_analysis_bert_based_model
+date: 2024-09-25
+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.`covid_vaccine_sentiment_analysis_bert_based_model` is a English model originally trained by NewtonKimathi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_vaccine_sentiment_analysis_bert_based_model_en_5.5.0_3.0_1727295041134.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_vaccine_sentiment_analysis_bert_based_model_en_5.5.0_3.0_1727295041134.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_vaccine_sentiment_analysis_bert_based_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/NewtonKimathi/Covid_Vaccine_Sentiment_Analysis_Bert_based_Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-covid_vaccine_sentiment_analysis_bert_based_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-covid_vaccine_sentiment_analysis_bert_based_model_pipeline_en.md
new file mode 100644
index 00000000000000..2740e17763f78b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-covid_vaccine_sentiment_analysis_bert_based_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English covid_vaccine_sentiment_analysis_bert_based_model_pipeline pipeline BertForSequenceClassification from NewtonKimathi
+author: John Snow Labs
+name: covid_vaccine_sentiment_analysis_bert_based_model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_vaccine_sentiment_analysis_bert_based_model_pipeline` is a English model originally trained by NewtonKimathi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_vaccine_sentiment_analysis_bert_based_model_pipeline_en_5.5.0_3.0_1727295063175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_vaccine_sentiment_analysis_bert_based_model_pipeline_en_5.5.0_3.0_1727295063175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("covid_vaccine_sentiment_analysis_bert_based_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("covid_vaccine_sentiment_analysis_bert_based_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_vaccine_sentiment_analysis_bert_based_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/NewtonKimathi/Covid_Vaccine_Sentiment_Analysis_Bert_based_Model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-cross_encoder_roberta_wwm_ext_v0_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-25-cross_encoder_roberta_wwm_ext_v0_pipeline_zh.md
new file mode 100644
index 00000000000000..50944a2c380af0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-cross_encoder_roberta_wwm_ext_v0_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese cross_encoder_roberta_wwm_ext_v0_pipeline pipeline BertForSequenceClassification from tuhailong
+author: John Snow Labs
+name: cross_encoder_roberta_wwm_ext_v0_pipeline
+date: 2024-09-25
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_roberta_wwm_ext_v0_pipeline` is a Chinese model originally trained by tuhailong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_roberta_wwm_ext_v0_pipeline_zh_5.5.0_3.0_1727293200144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_roberta_wwm_ext_v0_pipeline_zh_5.5.0_3.0_1727293200144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cross_encoder_roberta_wwm_ext_v0_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cross_encoder_roberta_wwm_ext_v0_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_roberta_wwm_ext_v0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/tuhailong/cross_encoder_roberta-wwm-ext_v0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-darija_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2024-09-25-darija_sentiment_analysis_en.md
new file mode 100644
index 00000000000000..88c98c80b8e609
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-darija_sentiment_analysis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English darija_sentiment_analysis BertForSequenceClassification from ychafiqui
+author: John Snow Labs
+name: darija_sentiment_analysis
+date: 2024-09-25
+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.`darija_sentiment_analysis` is a English model originally trained by ychafiqui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/darija_sentiment_analysis_en_5.5.0_3.0_1727301403704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/darija_sentiment_analysis_en_5.5.0_3.0_1727301403704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|darija_sentiment_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|553.7 MB|
+
+## References
+
+https://huggingface.co/ychafiqui/darija_sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-darija_sentiment_analysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-darija_sentiment_analysis_pipeline_en.md
new file mode 100644
index 00000000000000..db7e341ad53e4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-darija_sentiment_analysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English darija_sentiment_analysis_pipeline pipeline BertForSequenceClassification from ychafiqui
+author: John Snow Labs
+name: darija_sentiment_analysis_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`darija_sentiment_analysis_pipeline` is a English model originally trained by ychafiqui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/darija_sentiment_analysis_pipeline_en_5.5.0_3.0_1727301433561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/darija_sentiment_analysis_pipeline_en_5.5.0_3.0_1727301433561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("darija_sentiment_analysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("darija_sentiment_analysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|darija_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|553.7 MB|
+
+## References
+
+https://huggingface.co/ychafiqui/darija_sentiment_analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dbmdz_bertturk_sentiment_groundtruthv5_en.md b/docs/_posts/ahmedlone127/2024-09-25-dbmdz_bertturk_sentiment_groundtruthv5_en.md
new file mode 100644
index 00000000000000..00e6d0aeab1810
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dbmdz_bertturk_sentiment_groundtruthv5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dbmdz_bertturk_sentiment_groundtruthv5 BertForSequenceClassification from Apoksk1
+author: John Snow Labs
+name: dbmdz_bertturk_sentiment_groundtruthv5
+date: 2024-09-25
+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.`dbmdz_bertturk_sentiment_groundtruthv5` is a English model originally trained by Apoksk1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbmdz_bertturk_sentiment_groundtruthv5_en_5.5.0_3.0_1727292847834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbmdz_bertturk_sentiment_groundtruthv5_en_5.5.0_3.0_1727292847834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbmdz_bertturk_sentiment_groundtruthv5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/Apoksk1/dbmdz-bertTurk-sentiment-GroundTruthV5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dbmdz_bertturk_sentiment_groundtruthv5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-dbmdz_bertturk_sentiment_groundtruthv5_pipeline_en.md
new file mode 100644
index 00000000000000..25549ebf74d28b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dbmdz_bertturk_sentiment_groundtruthv5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dbmdz_bertturk_sentiment_groundtruthv5_pipeline pipeline BertForSequenceClassification from Apoksk1
+author: John Snow Labs
+name: dbmdz_bertturk_sentiment_groundtruthv5_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`dbmdz_bertturk_sentiment_groundtruthv5_pipeline` is a English model originally trained by Apoksk1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbmdz_bertturk_sentiment_groundtruthv5_pipeline_en_5.5.0_3.0_1727292869366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbmdz_bertturk_sentiment_groundtruthv5_pipeline_en_5.5.0_3.0_1727292869366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dbmdz_bertturk_sentiment_groundtruthv5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dbmdz_bertturk_sentiment_groundtruthv5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbmdz_bertturk_sentiment_groundtruthv5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/Apoksk1/dbmdz-bertTurk-sentiment-GroundTruthV5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dbpedia_classes_bert_base_uncased_few_10_f_en.md b/docs/_posts/ahmedlone127/2024-09-25-dbpedia_classes_bert_base_uncased_few_10_f_en.md
new file mode 100644
index 00000000000000..82512a432c3e22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dbpedia_classes_bert_base_uncased_few_10_f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dbpedia_classes_bert_base_uncased_few_10_f BertForSequenceClassification from TheChickenAgent
+author: John Snow Labs
+name: dbpedia_classes_bert_base_uncased_few_10_f
+date: 2024-09-25
+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.`dbpedia_classes_bert_base_uncased_few_10_f` is a English model originally trained by TheChickenAgent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_10_f_en_5.5.0_3.0_1727288691206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_10_f_en_5.5.0_3.0_1727288691206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbpedia_classes_bert_base_uncased_few_10_f|
+|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/TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-10-F
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-detoxify_toxic_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-detoxify_toxic_english_pipeline_en.md
new file mode 100644
index 00000000000000..549778dd4ba6c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-detoxify_toxic_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English detoxify_toxic_english_pipeline pipeline BertForSequenceClassification from joshuahm
+author: John Snow Labs
+name: detoxify_toxic_english_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`detoxify_toxic_english_pipeline` is a English model originally trained by joshuahm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/detoxify_toxic_english_pipeline_en_5.5.0_3.0_1727290854010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/detoxify_toxic_english_pipeline_en_5.5.0_3.0_1727290854010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("detoxify_toxic_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("detoxify_toxic_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|detoxify_toxic_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/joshuahm/detoxify_toxic_en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dialogue2_en.md b/docs/_posts/ahmedlone127/2024-09-25-dialogue2_en.md
new file mode 100644
index 00000000000000..e633c2365e6678
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dialogue2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dialogue2 BertForSequenceClassification from SharonTudi
+author: John Snow Labs
+name: dialogue2
+date: 2024-09-25
+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.`dialogue2` is a English model originally trained by SharonTudi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialogue2_en_5.5.0_3.0_1727289831643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialogue2_en_5.5.0_3.0_1727289831643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialogue2|
+|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/SharonTudi/DIALOGUE2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dialogue_final_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-dialogue_final_model_pipeline_en.md
new file mode 100644
index 00000000000000..04fca35cd7888d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dialogue_final_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dialogue_final_model_pipeline pipeline BertForSequenceClassification from SharonTudi
+author: John Snow Labs
+name: dialogue_final_model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`dialogue_final_model_pipeline` is a English model originally trained by SharonTudi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialogue_final_model_pipeline_en_5.5.0_3.0_1727288776230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialogue_final_model_pipeline_en_5.5.0_3.0_1727288776230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dialogue_final_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dialogue_final_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialogue_final_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/SharonTudi/DIALOGUE_final_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-discord_crypto_scam_detector_en.md b/docs/_posts/ahmedlone127/2024-09-25-discord_crypto_scam_detector_en.md
new file mode 100644
index 00000000000000..d3b57f2000e95f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-discord_crypto_scam_detector_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English discord_crypto_scam_detector BertForSequenceClassification from rzeydelis
+author: John Snow Labs
+name: discord_crypto_scam_detector
+date: 2024-09-25
+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.`discord_crypto_scam_detector` is a English model originally trained by rzeydelis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discord_crypto_scam_detector_en_5.5.0_3.0_1727291040035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discord_crypto_scam_detector_en_5.5.0_3.0_1727291040035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|discord_crypto_scam_detector|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/rzeydelis/discord-crypto-scam-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-discord_crypto_scam_detector_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-discord_crypto_scam_detector_pipeline_en.md
new file mode 100644
index 00000000000000..408d877b9d17e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-discord_crypto_scam_detector_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English discord_crypto_scam_detector_pipeline pipeline BertForSequenceClassification from rzeydelis
+author: John Snow Labs
+name: discord_crypto_scam_detector_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`discord_crypto_scam_detector_pipeline` is a English model originally trained by rzeydelis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discord_crypto_scam_detector_pipeline_en_5.5.0_3.0_1727291061215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discord_crypto_scam_detector_pipeline_en_5.5.0_3.0_1727291061215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("discord_crypto_scam_detector_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("discord_crypto_scam_detector_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|discord_crypto_scam_detector_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/rzeydelis/discord-crypto-scam-detector
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_uncased_accelerate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_uncased_accelerate_pipeline_en.md
new file mode 100644
index 00000000000000..babdc601a0a11b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_uncased_accelerate_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_accelerate_pipeline pipeline BertForTokenClassification from NSandra
+author: John Snow Labs
+name: distilbert_base_uncased_accelerate_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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.`distilbert_base_uncased_accelerate_pipeline` is a English model originally trained by NSandra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_accelerate_pipeline_en_5.5.0_3.0_1727283642169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_accelerate_pipeline_en_5.5.0_3.0_1727283642169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_accelerate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_accelerate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_accelerate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/NSandra/distilbert-base-uncased-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_uncased_kunalwoebot_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_uncased_kunalwoebot_en.md
new file mode 100644
index 00000000000000..57ff90d219b40b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_uncased_kunalwoebot_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_kunalwoebot BertForSequenceClassification from kunalwoebot
+author: John Snow Labs
+name: distilbert_base_uncased_kunalwoebot
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_kunalwoebot` is a English model originally trained by kunalwoebot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kunalwoebot_en_5.5.0_3.0_1727298672168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kunalwoebot_en_5.5.0_3.0_1727298672168.zip){:.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_kunalwoebot|
+|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/kunalwoebot/distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_uncased_kunalwoebot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_uncased_kunalwoebot_pipeline_en.md
new file mode 100644
index 00000000000000..fb085accf0264c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-distilbert_base_uncased_kunalwoebot_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_kunalwoebot_pipeline pipeline BertForSequenceClassification from kunalwoebot
+author: John Snow Labs
+name: distilbert_base_uncased_kunalwoebot_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_kunalwoebot_pipeline` is a English model originally trained by kunalwoebot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kunalwoebot_pipeline_en_5.5.0_3.0_1727298694852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kunalwoebot_pipeline_en_5.5.0_3.0_1727298694852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_kunalwoebot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_kunalwoebot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_kunalwoebot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/kunalwoebot/distilbert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dnabert_500down_en.md b/docs/_posts/ahmedlone127/2024-09-25-dnabert_500down_en.md
new file mode 100644
index 00000000000000..cc5d0ec8762ee2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dnabert_500down_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dnabert_500down BertForSequenceClassification from AidenH20
+author: John Snow Labs
+name: dnabert_500down
+date: 2024-09-25
+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.`dnabert_500down` is a English model originally trained by AidenH20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dnabert_500down_en_5.5.0_3.0_1727300811550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dnabert_500down_en_5.5.0_3.0_1727300811550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dnabert_500down|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|334.3 MB|
+
+## References
+
+https://huggingface.co/AidenH20/DNABERT-500down
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-dnabert_500down_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-dnabert_500down_pipeline_en.md
new file mode 100644
index 00000000000000..1d56c32dc0f636
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-dnabert_500down_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dnabert_500down_pipeline pipeline BertForSequenceClassification from AidenH20
+author: John Snow Labs
+name: dnabert_500down_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`dnabert_500down_pipeline` is a English model originally trained by AidenH20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dnabert_500down_pipeline_en_5.5.0_3.0_1727300829744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dnabert_500down_pipeline_en_5.5.0_3.0_1727300829744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dnabert_500down_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dnabert_500down_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dnabert_500down_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|334.3 MB|
+
+## References
+
+https://huggingface.co/AidenH20/DNABERT-500down
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-e2_test05_en.md b/docs/_posts/ahmedlone127/2024-09-25-e2_test05_en.md
new file mode 100644
index 00000000000000..9fe8fa3d3d8655
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-e2_test05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English e2_test05 BertForSequenceClassification from SamagraDataGov
+author: John Snow Labs
+name: e2_test05
+date: 2024-09-25
+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.`e2_test05` is a English model originally trained by SamagraDataGov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e2_test05_en_5.5.0_3.0_1727307861605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e2_test05_en_5.5.0_3.0_1727307861605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e2_test05|
+|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/SamagraDataGov/e2_test05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-email_spam_classification_merged_legacy107_en.md b/docs/_posts/ahmedlone127/2024-09-25-email_spam_classification_merged_legacy107_en.md
new file mode 100644
index 00000000000000..9fa3be50d9e983
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-email_spam_classification_merged_legacy107_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English email_spam_classification_merged_legacy107 BertForSequenceClassification from legacy107
+author: John Snow Labs
+name: email_spam_classification_merged_legacy107
+date: 2024-09-25
+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.`email_spam_classification_merged_legacy107` is a English model originally trained by legacy107.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/email_spam_classification_merged_legacy107_en_5.5.0_3.0_1727305892303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/email_spam_classification_merged_legacy107_en_5.5.0_3.0_1727305892303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|email_spam_classification_merged_legacy107|
+|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/legacy107/email-spam-classification-merged
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-emscad_skill_extraction_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-emscad_skill_extraction_pipeline_en.md
new file mode 100644
index 00000000000000..896908e046de5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-emscad_skill_extraction_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emscad_skill_extraction_pipeline pipeline BertForSequenceClassification from Ivo
+author: John Snow Labs
+name: emscad_skill_extraction_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`emscad_skill_extraction_pipeline` is a English model originally trained by Ivo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emscad_skill_extraction_pipeline_en_5.5.0_3.0_1727292806395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emscad_skill_extraction_pipeline_en_5.5.0_3.0_1727292806395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emscad_skill_extraction_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emscad_skill_extraction_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emscad_skill_extraction_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Ivo/emscad-skill-extraction
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline_en.md
new file mode 100644
index 00000000000000..c4cb6c811d106d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline pipeline BertForSequenceClassification from harish
+author: John Snow Labs
+name: english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline_en_5.5.0_3.0_1727292109002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline_en_5.5.0_3.0_1727292109002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_astitchtask1a_bertbasecased_falsefalse_0_3_best_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/harish/EN-AStitchTask1A-BERTBaseCased-FalseFalse-0-3-BEST
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-essay_element_classifier_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-essay_element_classifier_bert_pipeline_en.md
new file mode 100644
index 00000000000000..5e0d1954f3157c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-essay_element_classifier_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English essay_element_classifier_bert_pipeline pipeline BertForSequenceClassification from terminalai
+author: John Snow Labs
+name: essay_element_classifier_bert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`essay_element_classifier_bert_pipeline` is a English model originally trained by terminalai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/essay_element_classifier_bert_pipeline_en_5.5.0_3.0_1727288091063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/essay_element_classifier_bert_pipeline_en_5.5.0_3.0_1727288091063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("essay_element_classifier_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("essay_element_classifier_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|essay_element_classifier_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/terminalai/essay-element-classifier-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-fakenews_bert_base_cased_url_en.md b/docs/_posts/ahmedlone127/2024-09-25-fakenews_bert_base_cased_url_en.md
new file mode 100644
index 00000000000000..718af8d8fce439
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-fakenews_bert_base_cased_url_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fakenews_bert_base_cased_url BertForSequenceClassification from Denyol
+author: John Snow Labs
+name: fakenews_bert_base_cased_url
+date: 2024-09-25
+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.`fakenews_bert_base_cased_url` is a English model originally trained by Denyol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_url_en_5.5.0_3.0_1727278145876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_url_en_5.5.0_3.0_1727278145876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_bert_base_cased_url|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Denyol/FakeNews-bert-base-cased-url
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finbert_market_based_en.md b/docs/_posts/ahmedlone127/2024-09-25-finbert_market_based_en.md
new file mode 100644
index 00000000000000..525d79642c05c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finbert_market_based_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finbert_market_based BertForSequenceClassification from baptle
+author: John Snow Labs
+name: finbert_market_based
+date: 2024-09-25
+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.`finbert_market_based` is a English model originally trained by baptle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_market_based_en_5.5.0_3.0_1727293518479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_market_based_en_5.5.0_3.0_1727293518479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_market_based|
+|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/baptle/FinBERT_market_based
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finbert_tuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-finbert_tuned_pipeline_en.md
new file mode 100644
index 00000000000000..1c7a5c75dea21f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finbert_tuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finbert_tuned_pipeline pipeline BertForSequenceClassification from manvik28
+author: John Snow Labs
+name: finbert_tuned_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finbert_tuned_pipeline` is a English model originally trained by manvik28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_tuned_pipeline_en_5.5.0_3.0_1727285220802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_tuned_pipeline_en_5.5.0_3.0_1727285220802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finbert_tuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finbert_tuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_tuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/manvik28/FinBERT_Tuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-fine_tuned_bert_large_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-25-fine_tuned_bert_large_uncased_en.md
new file mode 100644
index 00000000000000..12f4e720f373e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-fine_tuned_bert_large_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_bert_large_uncased BertForSequenceClassification from Mawulom
+author: John Snow Labs
+name: fine_tuned_bert_large_uncased
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bert_large_uncased` is a English model originally trained by Mawulom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_large_uncased_en_5.5.0_3.0_1727308775602.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_large_uncased_en_5.5.0_3.0_1727308775602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bert_large_uncased|
+|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/Mawulom/Fine-Tuned-Bert-Large-Uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-fine_tuned_boolq_bert_croslo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-fine_tuned_boolq_bert_croslo_pipeline_en.md
new file mode 100644
index 00000000000000..b54bfda8f8d40b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-fine_tuned_boolq_bert_croslo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_boolq_bert_croslo_pipeline pipeline BertForSequenceClassification from lenatr99
+author: John Snow Labs
+name: fine_tuned_boolq_bert_croslo_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_boolq_bert_croslo_pipeline` is a English model originally trained by lenatr99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_boolq_bert_croslo_pipeline_en_5.5.0_3.0_1727276408688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_boolq_bert_croslo_pipeline_en_5.5.0_3.0_1727276408688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_boolq_bert_croslo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_boolq_bert_croslo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_boolq_bert_croslo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/lenatr99/fine_tuned_boolq_bert_croslo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_on_shemo_transcripts_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_on_shemo_transcripts_pipeline_en.md
new file mode 100644
index 00000000000000..ed1359e5344026
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_on_shemo_transcripts_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_bert_base_on_shemo_transcripts_pipeline pipeline BertForSequenceClassification from minoosh
+author: John Snow Labs
+name: finetuned_bert_base_on_shemo_transcripts_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuned_bert_base_on_shemo_transcripts_pipeline` is a English model originally trained by minoosh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_shemo_transcripts_pipeline_en_5.5.0_3.0_1727263667569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_shemo_transcripts_pipeline_en_5.5.0_3.0_1727263667569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_bert_base_on_shemo_transcripts_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_bert_base_on_shemo_transcripts_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_base_on_shemo_transcripts_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/minoosh/finetuned_bert-base_on_shEMO_transcripts
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_uncased_olivernyu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_uncased_olivernyu_pipeline_en.md
new file mode 100644
index 00000000000000..c5d5e04243dde8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuned_bert_base_uncased_olivernyu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_bert_base_uncased_olivernyu_pipeline pipeline BertForSequenceClassification from Olivernyu
+author: John Snow Labs
+name: finetuned_bert_base_uncased_olivernyu_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuned_bert_base_uncased_olivernyu_pipeline` is a English model originally trained by Olivernyu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_uncased_olivernyu_pipeline_en_5.5.0_3.0_1727263643053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_uncased_olivernyu_pipeline_en_5.5.0_3.0_1727263643053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_bert_base_uncased_olivernyu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_bert_base_uncased_olivernyu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_base_uncased_olivernyu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Olivernyu/finetuned_bert_base_uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuned_sentiment_classfication_bert_model_slickdata_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuned_sentiment_classfication_bert_model_slickdata_en.md
new file mode 100644
index 00000000000000..0baf05b36f0f40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuned_sentiment_classfication_bert_model_slickdata_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_sentiment_classfication_bert_model_slickdata BertForSequenceClassification from slickdata
+author: John Snow Labs
+name: finetuned_sentiment_classfication_bert_model_slickdata
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_classfication_bert_model_slickdata` is a English model originally trained by slickdata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_bert_model_slickdata_en_5.5.0_3.0_1727303432700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_bert_model_slickdata_en_5.5.0_3.0_1727303432700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_classfication_bert_model_slickdata|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/slickdata/finetuned-Sentiment-classfication-BERT-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuned_sentiment_classfication_bert_model_slickdata_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuned_sentiment_classfication_bert_model_slickdata_pipeline_en.md
new file mode 100644
index 00000000000000..40889e74da2166
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuned_sentiment_classfication_bert_model_slickdata_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_sentiment_classfication_bert_model_slickdata_pipeline pipeline BertForSequenceClassification from slickdata
+author: John Snow Labs
+name: finetuned_sentiment_classfication_bert_model_slickdata_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuned_sentiment_classfication_bert_model_slickdata_pipeline` is a English model originally trained by slickdata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_bert_model_slickdata_pipeline_en_5.5.0_3.0_1727303454408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_bert_model_slickdata_pipeline_en_5.5.0_3.0_1727303454408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_sentiment_classfication_bert_model_slickdata_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_sentiment_classfication_bert_model_slickdata_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_classfication_bert_model_slickdata_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/slickdata/finetuned-Sentiment-classfication-BERT-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-finetuning_bert_base_uncased_on_cornell_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-25-finetuning_bert_base_uncased_on_cornell_sentiment_en.md
new file mode 100644
index 00000000000000..1466a8aaa379c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-finetuning_bert_base_uncased_on_cornell_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_bert_base_uncased_on_cornell_sentiment BertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_bert_base_uncased_on_cornell_sentiment
+date: 2024-09-25
+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.`finetuning_bert_base_uncased_on_cornell_sentiment` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_cornell_sentiment_en_5.5.0_3.0_1727290742807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_cornell_sentiment_en_5.5.0_3.0_1727290742807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_bert_base_uncased_on_cornell_sentiment|
+|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/finetuning-bert-base-uncased-on-Cornell_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-forc_s1_bert_en.md b/docs/_posts/ahmedlone127/2024-09-25-forc_s1_bert_en.md
new file mode 100644
index 00000000000000..f4816b5572316f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-forc_s1_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English forc_s1_bert BertForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: forc_s1_bert
+date: 2024-09-25
+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.`forc_s1_bert` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/forc_s1_bert_en_5.5.0_3.0_1727307591066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/forc_s1_bert_en_5.5.0_3.0_1727307591066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|forc_s1_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/FoRC_S1_BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-frugalscore_tiny_deberta_bert_score_en.md b/docs/_posts/ahmedlone127/2024-09-25-frugalscore_tiny_deberta_bert_score_en.md
new file mode 100644
index 00000000000000..75dc86cfa670a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-frugalscore_tiny_deberta_bert_score_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English frugalscore_tiny_deberta_bert_score BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_tiny_deberta_bert_score
+date: 2024-09-25
+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.`frugalscore_tiny_deberta_bert_score` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_tiny_deberta_bert_score_en_5.5.0_3.0_1727295767549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_tiny_deberta_bert_score_en_5.5.0_3.0_1727295767549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_tiny_deberta_bert_score|
+|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/moussaKam/frugalscore_tiny_deberta_bert-score
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-frugalscore_tiny_deberta_bert_score_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-frugalscore_tiny_deberta_bert_score_pipeline_en.md
new file mode 100644
index 00000000000000..e5360f55582036
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-frugalscore_tiny_deberta_bert_score_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English frugalscore_tiny_deberta_bert_score_pipeline pipeline BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_tiny_deberta_bert_score_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`frugalscore_tiny_deberta_bert_score_pipeline` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_tiny_deberta_bert_score_pipeline_en_5.5.0_3.0_1727295768767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_tiny_deberta_bert_score_pipeline_en_5.5.0_3.0_1727295768767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("frugalscore_tiny_deberta_bert_score_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("frugalscore_tiny_deberta_bert_score_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_tiny_deberta_bert_score_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/moussaKam/frugalscore_tiny_deberta_bert-score
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-gdpr_rag_en.md b/docs/_posts/ahmedlone127/2024-09-25-gdpr_rag_en.md
new file mode 100644
index 00000000000000..6181ddc1296595
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-gdpr_rag_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gdpr_rag BertForSequenceClassification from rdhinaz
+author: John Snow Labs
+name: gdpr_rag
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gdpr_rag` is a English model originally trained by rdhinaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gdpr_rag_en_5.5.0_3.0_1727297221164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gdpr_rag_en_5.5.0_3.0_1727297221164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gdpr_rag|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rdhinaz/GDPR-RAG
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-gdpr_rag_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-gdpr_rag_pipeline_en.md
new file mode 100644
index 00000000000000..3a2c3e356a39e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-gdpr_rag_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gdpr_rag_pipeline pipeline BertForSequenceClassification from rdhinaz
+author: John Snow Labs
+name: gdpr_rag_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`gdpr_rag_pipeline` is a English model originally trained by rdhinaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gdpr_rag_pipeline_en_5.5.0_3.0_1727297243284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gdpr_rag_pipeline_en_5.5.0_3.0_1727297243284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gdpr_rag_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gdpr_rag_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gdpr_rag_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rdhinaz/GDPR-RAG
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-genome_finder_en.md b/docs/_posts/ahmedlone127/2024-09-25-genome_finder_en.md
new file mode 100644
index 00000000000000..e2cb9218ec0bce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-genome_finder_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English genome_finder BertForSequenceClassification from rdhinaz
+author: John Snow Labs
+name: genome_finder
+date: 2024-09-25
+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.`genome_finder` is a English model originally trained by rdhinaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genome_finder_en_5.5.0_3.0_1727273143520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genome_finder_en_5.5.0_3.0_1727273143520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|genome_finder|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rdhinaz/genome-finder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-github_issues_classification_final_en.md b/docs/_posts/ahmedlone127/2024-09-25-github_issues_classification_final_en.md
new file mode 100644
index 00000000000000..3bad3528c9ecbd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-github_issues_classification_final_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English github_issues_classification_final BertForSequenceClassification from peler1nl1kelt0s
+author: John Snow Labs
+name: github_issues_classification_final
+date: 2024-09-25
+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.`github_issues_classification_final` is a English model originally trained by peler1nl1kelt0s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/github_issues_classification_final_en_5.5.0_3.0_1727295480657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/github_issues_classification_final_en_5.5.0_3.0_1727295480657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|github_issues_classification_final|
+|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/peler1nl1kelt0s/github-issues-classification-final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-github_issues_classification_final_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-github_issues_classification_final_pipeline_en.md
new file mode 100644
index 00000000000000..6aaea74d826d55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-github_issues_classification_final_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English github_issues_classification_final_pipeline pipeline BertForSequenceClassification from peler1nl1kelt0s
+author: John Snow Labs
+name: github_issues_classification_final_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`github_issues_classification_final_pipeline` is a English model originally trained by peler1nl1kelt0s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/github_issues_classification_final_pipeline_en_5.5.0_3.0_1727295502645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/github_issues_classification_final_pipeline_en_5.5.0_3.0_1727295502645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("github_issues_classification_final_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("github_issues_classification_final_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|github_issues_classification_final_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/peler1nl1kelt0s/github-issues-classification-final
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hyp_only_gpt_4_filtered_final_en.md b/docs/_posts/ahmedlone127/2024-09-25-hyp_only_gpt_4_filtered_final_en.md
new file mode 100644
index 00000000000000..bd6e2c74173f5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hyp_only_gpt_4_filtered_final_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hyp_only_gpt_4_filtered_final BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: hyp_only_gpt_4_filtered_final
+date: 2024-09-25
+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.`hyp_only_gpt_4_filtered_final` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hyp_only_gpt_4_filtered_final_en_5.5.0_3.0_1727304581125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hyp_only_gpt_4_filtered_final_en_5.5.0_3.0_1727304581125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hyp_only_gpt_4_filtered_final|
+|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/grace-pro/hyp_only_gpt_4_filtered_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hyp_only_machine_gen_temp_1_en.md b/docs/_posts/ahmedlone127/2024-09-25-hyp_only_machine_gen_temp_1_en.md
new file mode 100644
index 00000000000000..c54fd9b76a452a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hyp_only_machine_gen_temp_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hyp_only_machine_gen_temp_1 BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: hyp_only_machine_gen_temp_1
+date: 2024-09-25
+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.`hyp_only_machine_gen_temp_1` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hyp_only_machine_gen_temp_1_en_5.5.0_3.0_1727279350014.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hyp_only_machine_gen_temp_1_en_5.5.0_3.0_1727279350014.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hyp_only_machine_gen_temp_1|
+|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/grace-pro/hyp_only_machine_gen_temp_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-hyp_only_machine_gen_temp_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-hyp_only_machine_gen_temp_1_pipeline_en.md
new file mode 100644
index 00000000000000..ce74e0fc468d99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-hyp_only_machine_gen_temp_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hyp_only_machine_gen_temp_1_pipeline pipeline BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: hyp_only_machine_gen_temp_1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`hyp_only_machine_gen_temp_1_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hyp_only_machine_gen_temp_1_pipeline_en_5.5.0_3.0_1727279371405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hyp_only_machine_gen_temp_1_pipeline_en_5.5.0_3.0_1727279371405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hyp_only_machine_gen_temp_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hyp_only_machine_gen_temp_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hyp_only_machine_gen_temp_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/grace-pro/hyp_only_machine_gen_temp_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-imdbreviews_classification_distilbert_v02_clf_finetuning_edmejiat_en.md b/docs/_posts/ahmedlone127/2024-09-25-imdbreviews_classification_distilbert_v02_clf_finetuning_edmejiat_en.md
new file mode 100644
index 00000000000000..76602bdfa5a5d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-imdbreviews_classification_distilbert_v02_clf_finetuning_edmejiat_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdbreviews_classification_distilbert_v02_clf_finetuning_edmejiat BertForSequenceClassification from edmejiat
+author: John Snow Labs
+name: imdbreviews_classification_distilbert_v02_clf_finetuning_edmejiat
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_distilbert_v02_clf_finetuning_edmejiat` is a English model originally trained by edmejiat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_edmejiat_en_5.5.0_3.0_1727297951778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_distilbert_v02_clf_finetuning_edmejiat_en_5.5.0_3.0_1727297951778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbreviews_classification_distilbert_v02_clf_finetuning_edmejiat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|626.8 MB|
+
+## References
+
+https://huggingface.co/edmejiat/imdbreviews_classification_distilbert_v02_clf_finetuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-indic_bert_finetuned_legal_try_with_muril_more_ft_en.md b/docs/_posts/ahmedlone127/2024-09-25-indic_bert_finetuned_legal_try_with_muril_more_ft_en.md
new file mode 100644
index 00000000000000..aa1260a9a9a837
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-indic_bert_finetuned_legal_try_with_muril_more_ft_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English indic_bert_finetuned_legal_try_with_muril_more_ft BertForSequenceClassification from PoptropicaSahil
+author: John Snow Labs
+name: indic_bert_finetuned_legal_try_with_muril_more_ft
+date: 2024-09-25
+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.`indic_bert_finetuned_legal_try_with_muril_more_ft` 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_muril_more_ft_en_5.5.0_3.0_1727297903115.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_muril_more_ft_en_5.5.0_3.0_1727297903115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indic_bert_finetuned_legal_try_with_muril_more_ft|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|128.2 MB|
+
+## References
+
+https://huggingface.co/PoptropicaSahil/indic-bert-finetuned-legal_try_with_muril_more_ft
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-init_bert_ft_qqp_79_en.md b/docs/_posts/ahmedlone127/2024-09-25-init_bert_ft_qqp_79_en.md
new file mode 100644
index 00000000000000..dfcaa4cc187a1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-init_bert_ft_qqp_79_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English init_bert_ft_qqp_79 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: init_bert_ft_qqp_79
+date: 2024-09-25
+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.`init_bert_ft_qqp_79` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/init_bert_ft_qqp_79_en_5.5.0_3.0_1727286514472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/init_bert_ft_qqp_79_en_5.5.0_3.0_1727286514472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|init_bert_ft_qqp_79|
+|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/Jeevesh8/init_bert_ft_qqp-79
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-init_bert_ft_qqp_79_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-init_bert_ft_qqp_79_pipeline_en.md
new file mode 100644
index 00000000000000..d879bc4ebe454a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-init_bert_ft_qqp_79_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English init_bert_ft_qqp_79_pipeline pipeline BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: init_bert_ft_qqp_79_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`init_bert_ft_qqp_79_pipeline` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/init_bert_ft_qqp_79_pipeline_en_5.5.0_3.0_1727286536176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/init_bert_ft_qqp_79_pipeline_en_5.5.0_3.0_1727286536176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("init_bert_ft_qqp_79_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("init_bert_ft_qqp_79_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|init_bert_ft_qqp_79_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/init_bert_ft_qqp-79
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-is712_en.md b/docs/_posts/ahmedlone127/2024-09-25-is712_en.md
new file mode 100644
index 00000000000000..7f1f5f773d083b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-is712_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English is712 BertForSequenceClassification from Messerschmitt
+author: John Snow Labs
+name: is712
+date: 2024-09-25
+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.`is712` is a English model originally trained by Messerschmitt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/is712_en_5.5.0_3.0_1727267466592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/is712_en_5.5.0_3.0_1727267466592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|is712|
+|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/Messerschmitt/is712
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-kemenkeu_sentiment_classifier_id.md b/docs/_posts/ahmedlone127/2024-09-25-kemenkeu_sentiment_classifier_id.md
new file mode 100644
index 00000000000000..7b35bbb2d19c55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-kemenkeu_sentiment_classifier_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian kemenkeu_sentiment_classifier BertForSequenceClassification from hanifnoerr
+author: John Snow Labs
+name: kemenkeu_sentiment_classifier
+date: 2024-09-25
+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.`kemenkeu_sentiment_classifier` is a Indonesian model originally trained by hanifnoerr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kemenkeu_sentiment_classifier_id_5.5.0_3.0_1727305127973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kemenkeu_sentiment_classifier_id_5.5.0_3.0_1727305127973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kemenkeu_sentiment_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/hanifnoerr/Kemenkeu-Sentiment-Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-khadija_ner_en.md b/docs/_posts/ahmedlone127/2024-09-25-khadija_ner_en.md
new file mode 100644
index 00000000000000..aaebf4dad2760a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-khadija_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English khadija_ner BertForTokenClassification from didazz
+author: John Snow Labs
+name: khadija_ner
+date: 2024-09-25
+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.`khadija_ner` is a English model originally trained by didazz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khadija_ner_en_5.5.0_3.0_1727283149808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khadija_ner_en_5.5.0_3.0_1727283149808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khadija_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/didazz/khadija_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-knots_distillprotbert_alphafold_en.md b/docs/_posts/ahmedlone127/2024-09-25-knots_distillprotbert_alphafold_en.md
new file mode 100644
index 00000000000000..760ff504863ea9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-knots_distillprotbert_alphafold_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English knots_distillprotbert_alphafold BertForSequenceClassification from EvaKlimentova
+author: John Snow Labs
+name: knots_distillprotbert_alphafold
+date: 2024-09-25
+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.`knots_distillprotbert_alphafold` is a English model originally trained by EvaKlimentova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/knots_distillprotbert_alphafold_en_5.5.0_3.0_1727306987195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/knots_distillprotbert_alphafold_en_5.5.0_3.0_1727306987195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|knots_distillprotbert_alphafold|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|864.5 MB|
+
+## References
+
+https://huggingface.co/EvaKlimentova/knots_distillprotbert_alphafold
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-knots_distillprotbert_alphafold_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-knots_distillprotbert_alphafold_pipeline_en.md
new file mode 100644
index 00000000000000..2b488f20f75729
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-knots_distillprotbert_alphafold_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English knots_distillprotbert_alphafold_pipeline pipeline BertForSequenceClassification from EvaKlimentova
+author: John Snow Labs
+name: knots_distillprotbert_alphafold_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`knots_distillprotbert_alphafold_pipeline` is a English model originally trained by EvaKlimentova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/knots_distillprotbert_alphafold_pipeline_en_5.5.0_3.0_1727307032305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/knots_distillprotbert_alphafold_pipeline_en_5.5.0_3.0_1727307032305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("knots_distillprotbert_alphafold_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("knots_distillprotbert_alphafold_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|knots_distillprotbert_alphafold_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|864.6 MB|
+
+## References
+
+https://huggingface.co/EvaKlimentova/knots_distillprotbert_alphafold
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-kor_naver_ner_name_en.md b/docs/_posts/ahmedlone127/2024-09-25-kor_naver_ner_name_en.md
new file mode 100644
index 00000000000000..1c6582134037b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-kor_naver_ner_name_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English kor_naver_ner_name BertForTokenClassification from joon09
+author: John Snow Labs
+name: kor_naver_ner_name
+date: 2024-09-25
+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.`kor_naver_ner_name` is a English model originally trained by joon09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kor_naver_ner_name_en_5.5.0_3.0_1727262951717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kor_naver_ner_name_en_5.5.0_3.0_1727262951717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kor_naver_ner_name|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|441.2 MB|
+
+## References
+
+https://huggingface.co/joon09/kor-naver-ner-name
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-korean_disease_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-korean_disease_ner_pipeline_en.md
new file mode 100644
index 00000000000000..4d8dcdb73a9f42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-korean_disease_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English korean_disease_ner_pipeline pipeline BertForTokenClassification from keonju
+author: John Snow Labs
+name: korean_disease_ner_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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.`korean_disease_ner_pipeline` is a English model originally trained by keonju.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/korean_disease_ner_pipeline_en_5.5.0_3.0_1727283045139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/korean_disease_ner_pipeline_en_5.5.0_3.0_1727283045139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("korean_disease_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("korean_disease_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|korean_disease_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.5 MB|
+
+## References
+
+https://huggingface.co/keonju/korean_disease_ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-l_12_h_512_a_8_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-25-l_12_h_512_a_8_sst2_en.md
new file mode 100644
index 00000000000000..41c7c813ab9410
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-l_12_h_512_a_8_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English l_12_h_512_a_8_sst2 BertForSequenceClassification from Sayan01
+author: John Snow Labs
+name: l_12_h_512_a_8_sst2
+date: 2024-09-25
+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.`l_12_h_512_a_8_sst2` is a English model originally trained by Sayan01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/l_12_h_512_a_8_sst2_en_5.5.0_3.0_1727267394261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/l_12_h_512_a_8_sst2_en_5.5.0_3.0_1727267394261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|l_12_h_512_a_8_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|202.4 MB|
+
+## References
+
+https://huggingface.co/Sayan01/L-12_H-512_A-8_sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-learn2therm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-learn2therm_pipeline_en.md
new file mode 100644
index 00000000000000..1142a13e315e68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-learn2therm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English learn2therm_pipeline pipeline BertForSequenceClassification from evankomp
+author: John Snow Labs
+name: learn2therm_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`learn2therm_pipeline` is a English model originally trained by evankomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/learn2therm_pipeline_en_5.5.0_3.0_1727304871925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/learn2therm_pipeline_en_5.5.0_3.0_1727304871925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("learn2therm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("learn2therm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|learn2therm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/evankomp/learn2therm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline_en.md
new file mode 100644
index 00000000000000..fbd2fafca28a46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline pipeline BertForSequenceClassification from wiorz
+author: John Snow Labs
+name: legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline` is a English model originally trained by wiorz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline_en_5.5.0_3.0_1727288653152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline_en_5.5.0_3.0_1727288653152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_bert_samoan_gen1_large_summarized_chuvash_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/wiorz/legal_bert_sm_gen1_large_summarized_cv_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-legal_ner_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-25-legal_ner_finetuned_en.md
new file mode 100644
index 00000000000000..6536a94d0fac53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-legal_ner_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English legal_ner_finetuned BertForTokenClassification from AjayMukundS
+author: John Snow Labs
+name: legal_ner_finetuned
+date: 2024-09-25
+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.`legal_ner_finetuned` is a English model originally trained by AjayMukundS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_ner_finetuned_en_5.5.0_3.0_1727271184973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_ner_finetuned_en_5.5.0_3.0_1727271184973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_ner_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/AjayMukundS/Legal-NER-Finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-lngdistilledmodel_en.md b/docs/_posts/ahmedlone127/2024-09-25-lngdistilledmodel_en.md
new file mode 100644
index 00000000000000..082450343ed3b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-lngdistilledmodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lngdistilledmodel BertForSequenceClassification from privacy-tech-lab
+author: John Snow Labs
+name: lngdistilledmodel
+date: 2024-09-25
+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.`lngdistilledmodel` is a English model originally trained by privacy-tech-lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lngdistilledmodel_en_5.5.0_3.0_1727272892393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lngdistilledmodel_en_5.5.0_3.0_1727272892393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_fc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|vi|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/SonFox2920/MBert_FC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-memo_bert_wsd_01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-memo_bert_wsd_01_pipeline_en.md
new file mode 100644
index 00000000000000..c063a9a28f0d7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-memo_bert_wsd_01_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English memo_bert_wsd_01_pipeline pipeline BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: memo_bert_wsd_01_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`memo_bert_wsd_01_pipeline` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_01_pipeline_en_5.5.0_3.0_1727285953316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_01_pipeline_en_5.5.0_3.0_1727285953316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("memo_bert_wsd_01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("memo_bert_wsd_01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|memo_bert_wsd_01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/yemen2016/MeMo_BERT-WSD-01
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-miniproject_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-miniproject_pipeline_en.md
new file mode 100644
index 00000000000000..0e4f8ae6d5589a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-miniproject_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English miniproject_pipeline pipeline BertForSequenceClassification from samirangupta31
+author: John Snow Labs
+name: miniproject_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`miniproject_pipeline` is a English model originally trained by samirangupta31.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/miniproject_pipeline_en_5.5.0_3.0_1727289367899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/miniproject_pipeline_en_5.5.0_3.0_1727289367899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("miniproject_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("miniproject_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|miniproject_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/samirangupta31/MiniProject
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-misinformation_covid_bert_base_german_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-misinformation_covid_bert_base_german_cased_pipeline_en.md
new file mode 100644
index 00000000000000..d625d587d3023a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-misinformation_covid_bert_base_german_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English misinformation_covid_bert_base_german_cased_pipeline pipeline BertForSequenceClassification from Ghunghru
+author: John Snow Labs
+name: misinformation_covid_bert_base_german_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`misinformation_covid_bert_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_bert_base_german_cased_pipeline_en_5.5.0_3.0_1727287963886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/misinformation_covid_bert_base_german_cased_pipeline_en_5.5.0_3.0_1727287963886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("misinformation_covid_bert_base_german_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("misinformation_covid_bert_base_german_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|misinformation_covid_bert_base_german_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/Ghunghru/Misinformation-Covid-bert-base-german-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-mobilebert_stsb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-mobilebert_stsb_pipeline_en.md
new file mode 100644
index 00000000000000..03506ea6493716
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-mobilebert_stsb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mobilebert_stsb_pipeline pipeline BertForSequenceClassification from Alireza1044
+author: John Snow Labs
+name: mobilebert_stsb_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`mobilebert_stsb_pipeline` is a English model originally trained by Alireza1044.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_stsb_pipeline_en_5.5.0_3.0_1727287383623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_stsb_pipeline_en_5.5.0_3.0_1727287383623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mobilebert_stsb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mobilebert_stsb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_stsb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|92.6 MB|
+
+## References
+
+https://huggingface.co/Alireza1044/mobilebert_stsb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-modela_1_12_2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-modela_1_12_2023_pipeline_en.md
new file mode 100644
index 00000000000000..e4bd049f054502
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-modela_1_12_2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English modela_1_12_2023_pipeline pipeline BertForTokenClassification from MaryDatascientist
+author: John Snow Labs
+name: modela_1_12_2023_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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.`modela_1_12_2023_pipeline` is a English model originally trained by MaryDatascientist.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modela_1_12_2023_pipeline_en_5.5.0_3.0_1727264626556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modela_1_12_2023_pipeline_en_5.5.0_3.0_1727264626556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("modela_1_12_2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("modela_1_12_2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modela_1_12_2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/MaryDatascientist/modelA_1_12_2023
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-modlee_transformer_en.md b/docs/_posts/ahmedlone127/2024-09-25-modlee_transformer_en.md
new file mode 100644
index 00000000000000..7675995d0e22c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-modlee_transformer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English modlee_transformer BertForSequenceClassification from harshitakukreja
+author: John Snow Labs
+name: modlee_transformer
+date: 2024-09-25
+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.`modlee_transformer` is a English model originally trained by harshitakukreja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modlee_transformer_en_5.5.0_3.0_1727273270830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modlee_transformer_en_5.5.0_3.0_1727273270830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modlee_transformer|
+|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/harshitakukreja/modlee_transformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-monglish_arabic_faq_v2_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-25-monglish_arabic_faq_v2_pipeline_ar.md
new file mode 100644
index 00000000000000..bd3dfe730bf025
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-monglish_arabic_faq_v2_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic monglish_arabic_faq_v2_pipeline pipeline BertForSequenceClassification from Ahmedhany216
+author: John Snow Labs
+name: monglish_arabic_faq_v2_pipeline
+date: 2024-09-25
+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.`monglish_arabic_faq_v2_pipeline` is a Arabic model originally trained by Ahmedhany216.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/monglish_arabic_faq_v2_pipeline_ar_5.5.0_3.0_1727292098628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/monglish_arabic_faq_v2_pipeline_ar_5.5.0_3.0_1727292098628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("monglish_arabic_faq_v2_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("monglish_arabic_faq_v2_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|monglish_arabic_faq_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|408.7 MB|
+
+## References
+
+https://huggingface.co/Ahmedhany216/Monglish_Arabic_FAQ-V2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-moviebertreview_sentimentprediction_model_imalexianne_en.md b/docs/_posts/ahmedlone127/2024-09-25-moviebertreview_sentimentprediction_model_imalexianne_en.md
new file mode 100644
index 00000000000000..a09f5ead57d759
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-moviebertreview_sentimentprediction_model_imalexianne_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English moviebertreview_sentimentprediction_model_imalexianne BertForSequenceClassification from imalexianne
+author: John Snow Labs
+name: moviebertreview_sentimentprediction_model_imalexianne
+date: 2024-09-25
+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.`moviebertreview_sentimentprediction_model_imalexianne` is a English model originally trained by imalexianne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moviebertreview_sentimentprediction_model_imalexianne_en_5.5.0_3.0_1727288190898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moviebertreview_sentimentprediction_model_imalexianne_en_5.5.0_3.0_1727288190898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moviebertreview_sentimentprediction_model_imalexianne|
+|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/imalexianne/MovieBertReview-SentimentPrediction-Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-moviebertreview_sentimentprediction_model_imalexianne_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-moviebertreview_sentimentprediction_model_imalexianne_pipeline_en.md
new file mode 100644
index 00000000000000..6fa42da5fe8303
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-moviebertreview_sentimentprediction_model_imalexianne_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English moviebertreview_sentimentprediction_model_imalexianne_pipeline pipeline BertForSequenceClassification from imalexianne
+author: John Snow Labs
+name: moviebertreview_sentimentprediction_model_imalexianne_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`moviebertreview_sentimentprediction_model_imalexianne_pipeline` is a English model originally trained by imalexianne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moviebertreview_sentimentprediction_model_imalexianne_pipeline_en_5.5.0_3.0_1727288217032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moviebertreview_sentimentprediction_model_imalexianne_pipeline_en_5.5.0_3.0_1727288217032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("moviebertreview_sentimentprediction_model_imalexianne_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("moviebertreview_sentimentprediction_model_imalexianne_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moviebertreview_sentimentprediction_model_imalexianne_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/imalexianne/MovieBertReview-SentimentPrediction-Model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-mrpc_output_en.md b/docs/_posts/ahmedlone127/2024-09-25-mrpc_output_en.md
new file mode 100644
index 00000000000000..3c2237d3336bc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-mrpc_output_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mrpc_output BertForSequenceClassification from shivangi
+author: John Snow Labs
+name: mrpc_output
+date: 2024-09-25
+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.`mrpc_output` is a English model originally trained by shivangi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mrpc_output_en_5.5.0_3.0_1727292031298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mrpc_output_en_5.5.0_3.0_1727292031298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mrpc_output|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/shivangi/MRPC_output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-mrpc_output_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-mrpc_output_pipeline_en.md
new file mode 100644
index 00000000000000..ccdd0eb5587f40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-mrpc_output_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mrpc_output_pipeline pipeline BertForSequenceClassification from shivangi
+author: John Snow Labs
+name: mrpc_output_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`mrpc_output_pipeline` is a English model originally trained by shivangi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mrpc_output_pipeline_en_5.5.0_3.0_1727292052387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mrpc_output_pipeline_en_5.5.0_3.0_1727292052387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mrpc_output_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mrpc_output_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mrpc_output_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/shivangi/MRPC_output
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding100model_en.md b/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding100model_en.md
new file mode 100644
index 00000000000000..d141ee1420147d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-n_bert_imdb_padding100model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_imdb_padding100model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding100model
+date: 2024-09-25
+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.`n_bert_imdb_padding100model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding100model_en_5.5.0_3.0_1727301351880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding100model_en_5.5.0_3.0_1727301351880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding100model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_imdb_padding100model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-n_bert_twitterfin_padding20model_en.md b/docs/_posts/ahmedlone127/2024-09-25-n_bert_twitterfin_padding20model_en.md
new file mode 100644
index 00000000000000..91e93faada8229
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-n_bert_twitterfin_padding20model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_twitterfin_padding20model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_twitterfin_padding20model
+date: 2024-09-25
+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.`n_bert_twitterfin_padding20model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_twitterfin_padding20model_en_5.5.0_3.0_1727290264758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_twitterfin_padding20model_en_5.5.0_3.0_1727290264758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_twitterfin_padding20model|
+|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/Realgon/N_bert_twitterfin_padding20model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-name_anonymization_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-25-name_anonymization_pipeline_tr.md
new file mode 100644
index 00000000000000..346cf8ef2b3ab1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-name_anonymization_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish name_anonymization_pipeline pipeline BertForTokenClassification from deprem-ml
+author: John Snow Labs
+name: name_anonymization_pipeline
+date: 2024-09-25
+tags: [tr, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`name_anonymization_pipeline` is a Turkish model originally trained by deprem-ml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/name_anonymization_pipeline_tr_5.5.0_3.0_1727284040918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/name_anonymization_pipeline_tr_5.5.0_3.0_1727284040918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("name_anonymization_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("name_anonymization_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|name_anonymization_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/deprem-ml/name_anonymization
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-nameattrsbertfinal_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-nameattrsbertfinal_pipeline_en.md
new file mode 100644
index 00000000000000..fe00b16957f738
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-nameattrsbertfinal_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nameattrsbertfinal_pipeline pipeline BertForSequenceClassification from madgnome
+author: John Snow Labs
+name: nameattrsbertfinal_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`nameattrsbertfinal_pipeline` is a English model originally trained by madgnome.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nameattrsbertfinal_pipeline_en_5.5.0_3.0_1727293834116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nameattrsbertfinal_pipeline_en_5.5.0_3.0_1727293834116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nameattrsbertfinal_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nameattrsbertfinal_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nameattrsbertfinal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|669.0 MB|
+
+## References
+
+https://huggingface.co/madgnome/nameattrsbertfinal
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-nusabert_base_indonesian_plutchik_emotion_analysis_id.md b/docs/_posts/ahmedlone127/2024-09-25-nusabert_base_indonesian_plutchik_emotion_analysis_id.md
new file mode 100644
index 00000000000000..6812a81b7be6ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-nusabert_base_indonesian_plutchik_emotion_analysis_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian nusabert_base_indonesian_plutchik_emotion_analysis BertForSequenceClassification from Aardiiiiy
+author: John Snow Labs
+name: nusabert_base_indonesian_plutchik_emotion_analysis
+date: 2024-09-25
+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.`nusabert_base_indonesian_plutchik_emotion_analysis` is a Indonesian model originally trained by Aardiiiiy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nusabert_base_indonesian_plutchik_emotion_analysis_id_5.5.0_3.0_1727238055468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nusabert_base_indonesian_plutchik_emotion_analysis_id_5.5.0_3.0_1727238055468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nusabert_base_indonesian_plutchik_emotion_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/Aardiiiiy/NusaBERT-base-Indonesian-Plutchik-emotion-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-only_title_desc_en.md b/docs/_posts/ahmedlone127/2024-09-25-only_title_desc_en.md
new file mode 100644
index 00000000000000..b3bda64e107b30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-only_title_desc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English only_title_desc BertForSequenceClassification from SajjadAyoubi
+author: John Snow Labs
+name: only_title_desc
+date: 2024-09-25
+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.`only_title_desc` is a English model originally trained by SajjadAyoubi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/only_title_desc_en_5.5.0_3.0_1727299754353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/only_title_desc_en_5.5.0_3.0_1727299754353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|only_title_desc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.8 MB|
+
+## References
+
+https://huggingface.co/SajjadAyoubi/only-title-desc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-opus_em_augmented_en.md b/docs/_posts/ahmedlone127/2024-09-25-opus_em_augmented_en.md
new file mode 100644
index 00000000000000..da93355ce6faf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-opus_em_augmented_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_em_augmented BertForSequenceClassification from keremp
+author: John Snow Labs
+name: opus_em_augmented
+date: 2024-09-25
+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.`opus_em_augmented` is a English model originally trained by keremp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_em_augmented_en_5.5.0_3.0_1727267653690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_em_augmented_en_5.5.0_3.0_1727267653690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_em_augmented|
+|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/keremp/opus-em-augmented
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-opus_em_bge_base_en.md b/docs/_posts/ahmedlone127/2024-09-25-opus_em_bge_base_en.md
new file mode 100644
index 00000000000000..d6d2ff951e3c49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-opus_em_bge_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_em_bge_base BertForSequenceClassification from keremp
+author: John Snow Labs
+name: opus_em_bge_base
+date: 2024-09-25
+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.`opus_em_bge_base` is a English model originally trained by keremp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_em_bge_base_en_5.5.0_3.0_1727305656269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_em_bge_base_en_5.5.0_3.0_1727305656269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_em_bge_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|381.3 MB|
+
+## References
+
+https://huggingface.co/keremp/opus-em-bge-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-opus_em_bge_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-opus_em_bge_base_pipeline_en.md
new file mode 100644
index 00000000000000..631399498c423b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-opus_em_bge_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_em_bge_base_pipeline pipeline BertForSequenceClassification from keremp
+author: John Snow Labs
+name: opus_em_bge_base_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`opus_em_bge_base_pipeline` is a English model originally trained by keremp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_em_bge_base_pipeline_en_5.5.0_3.0_1727305687287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_em_bge_base_pipeline_en_5.5.0_3.0_1727305687287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_em_bge_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_em_bge_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_em_bge_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|381.4 MB|
+
+## References
+
+https://huggingface.co/keremp/opus-em-bge-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-pabee_bert_base_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-pabee_bert_base_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..87a27d49974f6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-pabee_bert_base_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pabee_bert_base_sst2_pipeline pipeline BertForSequenceClassification from mattymchen
+author: John Snow Labs
+name: pabee_bert_base_sst2_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`pabee_bert_base_sst2_pipeline` is a English model originally trained by mattymchen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pabee_bert_base_sst2_pipeline_en_5.5.0_3.0_1727276229689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pabee_bert_base_sst2_pipeline_en_5.5.0_3.0_1727276229689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pabee_bert_base_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pabee_bert_base_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pabee_bert_base_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mattymchen/pabee-bert-base-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-permissions_bert_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-25-permissions_bert_uncased_en.md
new file mode 100644
index 00000000000000..9af23ce13fc50c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-permissions_bert_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English permissions_bert_uncased BertForSequenceClassification from etham13
+author: John Snow Labs
+name: permissions_bert_uncased
+date: 2024-09-25
+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.`permissions_bert_uncased` is a English model originally trained by etham13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/permissions_bert_uncased_en_5.5.0_3.0_1727295987748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/permissions_bert_uncased_en_5.5.0_3.0_1727295987748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|permissions_bert_uncased|
+|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/etham13/permissions_bert_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-permissions_bert_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-permissions_bert_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..bed00c99c5718e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-permissions_bert_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English permissions_bert_uncased_pipeline pipeline BertForSequenceClassification from etham13
+author: John Snow Labs
+name: permissions_bert_uncased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`permissions_bert_uncased_pipeline` is a English model originally trained by etham13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/permissions_bert_uncased_pipeline_en_5.5.0_3.0_1727296013208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/permissions_bert_uncased_pipeline_en_5.5.0_3.0_1727296013208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("permissions_bert_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("permissions_bert_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|permissions_bert_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/etham13/permissions_bert_uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phishing_detection_en.md b/docs/_posts/ahmedlone127/2024-09-25-phishing_detection_en.md
new file mode 100644
index 00000000000000..5ca6668167b651
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phishing_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phishing_detection BertForSequenceClassification from Wachu2005
+author: John Snow Labs
+name: phishing_detection
+date: 2024-09-25
+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.`phishing_detection` is a English model originally trained by Wachu2005.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phishing_detection_en_5.5.0_3.0_1727273097216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phishing_detection_en_5.5.0_3.0_1727273097216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phishing_detection|
+|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/Wachu2005/Phishing_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phishing_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-phishing_detection_pipeline_en.md
new file mode 100644
index 00000000000000..bd1e400d4b90d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phishing_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phishing_detection_pipeline pipeline BertForSequenceClassification from Wachu2005
+author: John Snow Labs
+name: phishing_detection_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`phishing_detection_pipeline` is a English model originally trained by Wachu2005.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phishing_detection_pipeline_en_5.5.0_3.0_1727273169605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phishing_detection_pipeline_en_5.5.0_3.0_1727273169605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phishing_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phishing_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phishing_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Wachu2005/Phishing_detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phishing_email_detection1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-phishing_email_detection1_pipeline_en.md
new file mode 100644
index 00000000000000..e26b3d4604580c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phishing_email_detection1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phishing_email_detection1_pipeline pipeline BertForSequenceClassification from kithangw
+author: John Snow Labs
+name: phishing_email_detection1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`phishing_email_detection1_pipeline` is a English model originally trained by kithangw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phishing_email_detection1_pipeline_en_5.5.0_3.0_1727269660001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phishing_email_detection1_pipeline_en_5.5.0_3.0_1727269660001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phishing_email_detection1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phishing_email_detection1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phishing_email_detection1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/kithangw/phishing_email_detection1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_isrraelmendoza92_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_isrraelmendoza92_en.md
new file mode 100644
index 00000000000000..c431c29977b13a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_isrraelmendoza92_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_isrraelmendoza92 BertForSequenceClassification from isrraelmendoza92
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_isrraelmendoza92
+date: 2024-09-25
+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.`phrasebank_sentiment_analysis_isrraelmendoza92` is a English model originally trained by isrraelmendoza92.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_isrraelmendoza92_en_5.5.0_3.0_1727306179028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_isrraelmendoza92_en_5.5.0_3.0_1727306179028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_isrraelmendoza92|
+|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/isrraelmendoza92/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_jpbianchi_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_jpbianchi_en.md
new file mode 100644
index 00000000000000..4f33a01cd77490
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_jpbianchi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_jpbianchi BertForSequenceClassification from JPBianchi
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_jpbianchi
+date: 2024-09-25
+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.`phrasebank_sentiment_analysis_jpbianchi` is a English model originally trained by JPBianchi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_jpbianchi_en_5.5.0_3.0_1727285679851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_jpbianchi_en_5.5.0_3.0_1727285679851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_jpbianchi|
+|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/JPBianchi/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_nikolasmoya_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_nikolasmoya_en.md
new file mode 100644
index 00000000000000..0a265ff5979584
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_nikolasmoya_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_nikolasmoya BertForSequenceClassification from nikolasmoya
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_nikolasmoya
+date: 2024-09-25
+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.`phrasebank_sentiment_analysis_nikolasmoya` is a English model originally trained by nikolasmoya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_nikolasmoya_en_5.5.0_3.0_1727301829571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_nikolasmoya_en_5.5.0_3.0_1727301829571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_nikolasmoya|
+|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/nikolasmoya/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_nikolasmoya_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_nikolasmoya_pipeline_en.md
new file mode 100644
index 00000000000000..2ad37cf4bc31ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_nikolasmoya_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_nikolasmoya_pipeline pipeline BertForSequenceClassification from nikolasmoya
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_nikolasmoya_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`phrasebank_sentiment_analysis_nikolasmoya_pipeline` is a English model originally trained by nikolasmoya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_nikolasmoya_pipeline_en_5.5.0_3.0_1727301851762.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_nikolasmoya_pipeline_en_5.5.0_3.0_1727301851762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_nikolasmoya_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_nikolasmoya_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_nikolasmoya_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nikolasmoya/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_richychn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_richychn_pipeline_en.md
new file mode 100644
index 00000000000000..df2d7e745bd8ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_richychn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_richychn_pipeline pipeline BertForSequenceClassification from richychn
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_richychn_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`phrasebank_sentiment_analysis_richychn_pipeline` is a English model originally trained by richychn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_richychn_pipeline_en_5.5.0_3.0_1727273113751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_richychn_pipeline_en_5.5.0_3.0_1727273113751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_richychn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_richychn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_richychn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/richychn/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_saiteja_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_saiteja_en.md
new file mode 100644
index 00000000000000..9a087ac8da4a88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_saiteja_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_saiteja BertForSequenceClassification from Saiteja
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_saiteja
+date: 2024-09-25
+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.`phrasebank_sentiment_analysis_saiteja` is a English model originally trained by Saiteja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_saiteja_en_5.5.0_3.0_1727268429357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_saiteja_en_5.5.0_3.0_1727268429357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_saiteja|
+|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/Saiteja/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_snrism_en.md b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_snrism_en.md
new file mode 100644
index 00000000000000..4ef047c8dbfc71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-phrasebank_sentiment_analysis_snrism_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_snrism BertForSequenceClassification from snrism
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_snrism
+date: 2024-09-25
+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.`phrasebank_sentiment_analysis_snrism` is a English model originally trained by snrism.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_snrism_en_5.5.0_3.0_1727301048302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_snrism_en_5.5.0_3.0_1727301048302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_snrism|
+|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/snrism/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-pn6_800_en.md b/docs/_posts/ahmedlone127/2024-09-25-pn6_800_en.md
new file mode 100644
index 00000000000000..a6965bb7dcbf84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-pn6_800_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English pn6_800 BertForSequenceClassification from abbassix
+author: John Snow Labs
+name: pn6_800
+date: 2024-09-25
+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.`pn6_800` is a English model originally trained by abbassix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pn6_800_en_5.5.0_3.0_1727290482384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pn6_800_en_5.5.0_3.0_1727290482384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pn6_800|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/abbassix/pn6_800
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-propoint_final_project_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-propoint_final_project_pipeline_en.md
new file mode 100644
index 00000000000000..7c5db9f0ab43ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-propoint_final_project_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English propoint_final_project_pipeline pipeline BertForSequenceClassification from DataAngelo
+author: John Snow Labs
+name: propoint_final_project_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`propoint_final_project_pipeline` is a English model originally trained by DataAngelo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/propoint_final_project_pipeline_en_5.5.0_3.0_1727272695646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/propoint_final_project_pipeline_en_5.5.0_3.0_1727272695646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("propoint_final_project_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("propoint_final_project_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|propoint_final_project_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/DataAngelo/propoint_Final_project
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-psychbert_finetuned_mentalhealth_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-psychbert_finetuned_mentalhealth_pipeline_en.md
new file mode 100644
index 00000000000000..400d99ffead8b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-psychbert_finetuned_mentalhealth_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English psychbert_finetuned_mentalhealth_pipeline pipeline BertForSequenceClassification from mnaylor
+author: John Snow Labs
+name: psychbert_finetuned_mentalhealth_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`psychbert_finetuned_mentalhealth_pipeline` is a English model originally trained by mnaylor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psychbert_finetuned_mentalhealth_pipeline_en_5.5.0_3.0_1727257471563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/psychbert_finetuned_mentalhealth_pipeline_en_5.5.0_3.0_1727257471563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("psychbert_finetuned_mentalhealth_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("psychbert_finetuned_mentalhealth_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psychbert_finetuned_mentalhealth_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mnaylor/psychbert-finetuned-mentalhealth
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-q05_kaggle_bertbasecased_nsc_en.md b/docs/_posts/ahmedlone127/2024-09-25-q05_kaggle_bertbasecased_nsc_en.md
new file mode 100644
index 00000000000000..0d97fbf7fe1ff2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-q05_kaggle_bertbasecased_nsc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English q05_kaggle_bertbasecased_nsc BertForSequenceClassification from wallacenpj
+author: John Snow Labs
+name: q05_kaggle_bertbasecased_nsc
+date: 2024-09-25
+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.`q05_kaggle_bertbasecased_nsc` is a English model originally trained by wallacenpj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q05_kaggle_bertbasecased_nsc_en_5.5.0_3.0_1727288470225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q05_kaggle_bertbasecased_nsc_en_5.5.0_3.0_1727288470225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q05_kaggle_bertbasecased_nsc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/wallacenpj/q05_kaggle_bertbasecased_nsc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-q05_kaggle_bertbasecased_nsc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-q05_kaggle_bertbasecased_nsc_pipeline_en.md
new file mode 100644
index 00000000000000..06d06798bb1563
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-q05_kaggle_bertbasecased_nsc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English q05_kaggle_bertbasecased_nsc_pipeline pipeline BertForSequenceClassification from wallacenpj
+author: John Snow Labs
+name: q05_kaggle_bertbasecased_nsc_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`q05_kaggle_bertbasecased_nsc_pipeline` is a English model originally trained by wallacenpj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q05_kaggle_bertbasecased_nsc_pipeline_en_5.5.0_3.0_1727288493551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q05_kaggle_bertbasecased_nsc_pipeline_en_5.5.0_3.0_1727288493551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("q05_kaggle_bertbasecased_nsc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("q05_kaggle_bertbasecased_nsc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q05_kaggle_bertbasecased_nsc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/wallacenpj/q05_kaggle_bertbasecased_nsc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_en.md b/docs/_posts/ahmedlone127/2024-09-25-qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_en.md
new file mode 100644
index 00000000000000..75a2454cd609d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6 BertForSequenceClassification from rawpowertools
+author: John Snow Labs
+name: qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6
+date: 2024-09-25
+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.`qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6` is a English model originally trained by rawpowertools.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_en_5.5.0_3.0_1727295987475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_en_5.5.0_3.0_1727295987475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6|
+|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/rawpowertools/qa-bert-classifier-test_QA_classifier_FULL_training_set_pass_threshold_objective8_subjective6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline_en.md
new file mode 100644
index 00000000000000..74a0f927236674
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline pipeline BertForSequenceClassification from rawpowertools
+author: John Snow Labs
+name: qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline` is a English model originally trained by rawpowertools.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline_en_5.5.0_3.0_1727296012872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline_en_5.5.0_3.0_1727296012872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_bert_classifier_test_qa_classifier_full_training_set_pass_threshold_objective8_subjective6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rawpowertools/qa-bert-classifier-test_QA_classifier_FULL_training_set_pass_threshold_objective8_subjective6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-qd_dialog_bert_base_turkish_en.md b/docs/_posts/ahmedlone127/2024-09-25-qd_dialog_bert_base_turkish_en.md
new file mode 100644
index 00000000000000..26fd93c2885c76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-qd_dialog_bert_base_turkish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English qd_dialog_bert_base_turkish BertForSequenceClassification from Izzet
+author: John Snow Labs
+name: qd_dialog_bert_base_turkish
+date: 2024-09-25
+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.`qd_dialog_bert_base_turkish` is a English model originally trained by Izzet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qd_dialog_bert_base_turkish_en_5.5.0_3.0_1727291156296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qd_dialog_bert_base_turkish_en_5.5.0_3.0_1727291156296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qd_dialog_bert_base_turkish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|691.2 MB|
+
+## References
+
+https://huggingface.co/Izzet/qd_dialog_bert-base-turkish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-qd_dialog_bert_base_turkish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-qd_dialog_bert_base_turkish_pipeline_en.md
new file mode 100644
index 00000000000000..d7b84a38d691d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-qd_dialog_bert_base_turkish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English qd_dialog_bert_base_turkish_pipeline pipeline BertForSequenceClassification from Izzet
+author: John Snow Labs
+name: qd_dialog_bert_base_turkish_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`qd_dialog_bert_base_turkish_pipeline` is a English model originally trained by Izzet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qd_dialog_bert_base_turkish_pipeline_en_5.5.0_3.0_1727291199507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qd_dialog_bert_base_turkish_pipeline_en_5.5.0_3.0_1727291199507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qd_dialog_bert_base_turkish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qd_dialog_bert_base_turkish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qd_dialog_bert_base_turkish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|691.2 MB|
+
+## References
+
+https://huggingface.co/Izzet/qd_dialog_bert-base-turkish
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-quantum_neuraladaptivelearningsystem_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-quantum_neuraladaptivelearningsystem_pipeline_en.md
new file mode 100644
index 00000000000000..9708d482b4724d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-quantum_neuraladaptivelearningsystem_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English quantum_neuraladaptivelearningsystem_pipeline pipeline BertForSequenceClassification from ayjays132
+author: John Snow Labs
+name: quantum_neuraladaptivelearningsystem_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`quantum_neuraladaptivelearningsystem_pipeline` is a English model originally trained by ayjays132.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quantum_neuraladaptivelearningsystem_pipeline_en_5.5.0_3.0_1727294042847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quantum_neuraladaptivelearningsystem_pipeline_en_5.5.0_3.0_1727294042847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("quantum_neuraladaptivelearningsystem_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("quantum_neuraladaptivelearningsystem_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quantum_neuraladaptivelearningsystem_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/ayjays132/Quantum-NeuralAdaptiveLearningSystem
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-regbert_2_en.md b/docs/_posts/ahmedlone127/2024-09-25-regbert_2_en.md
new file mode 100644
index 00000000000000..e8c8469c35be6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-regbert_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English regbert_2 BertForSequenceClassification from Econlinguistics
+author: John Snow Labs
+name: regbert_2
+date: 2024-09-25
+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.`regbert_2` is a English model originally trained by Econlinguistics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regbert_2_en_5.5.0_3.0_1727306342121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regbert_2_en_5.5.0_3.0_1727306342121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|regbert_2|
+|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/Econlinguistics/regbert_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-repml_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-repml_pipeline_en.md
new file mode 100644
index 00000000000000..08db691c8649f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-repml_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English repml_pipeline pipeline BertForSequenceClassification from MiBo
+author: John Snow Labs
+name: repml_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`repml_pipeline` is a English model originally trained by MiBo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/repml_pipeline_en_5.5.0_3.0_1727304509442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/repml_pipeline_en_5.5.0_3.0_1727304509442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("repml_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("repml_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|repml_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.9 MB|
+
+## References
+
+https://huggingface.co/MiBo/RepML
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-repurchase_train3_en.md b/docs/_posts/ahmedlone127/2024-09-25-repurchase_train3_en.md
new file mode 100644
index 00000000000000..8c81035347e072
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-repurchase_train3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English repurchase_train3 BertForSequenceClassification from laskovey
+author: John Snow Labs
+name: repurchase_train3
+date: 2024-09-25
+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.`repurchase_train3` is a English model originally trained by laskovey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/repurchase_train3_en_5.5.0_3.0_1727288585593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/repurchase_train3_en_5.5.0_3.0_1727288585593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|repurchase_train3|
+|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/laskovey/repurchase_train3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-repurchase_train3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-repurchase_train3_pipeline_en.md
new file mode 100644
index 00000000000000..75cd53b70d702c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-repurchase_train3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English repurchase_train3_pipeline pipeline BertForSequenceClassification from laskovey
+author: John Snow Labs
+name: repurchase_train3_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`repurchase_train3_pipeline` is a English model originally trained by laskovey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/repurchase_train3_pipeline_en_5.5.0_3.0_1727288591084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/repurchase_train3_pipeline_en_5.5.0_3.0_1727288591084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("repurchase_train3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("repurchase_train3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|repurchase_train3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/laskovey/repurchase_train3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_pku_en.md b/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_pku_en.md
new file mode 100644
index 00000000000000..1039af8e6efd89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-roberta_cws_pku_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_cws_pku BertForTokenClassification from tjspross
+author: John Snow Labs
+name: roberta_cws_pku
+date: 2024-09-25
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cws_pku` is a English model originally trained by tjspross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cws_pku_en_5.5.0_3.0_1727265309107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cws_pku_en_5.5.0_3.0_1727265309107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cws_pku|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/tjspross/roberta_cws_pku
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-rubert_tiny2_russe_toxicity_en.md b/docs/_posts/ahmedlone127/2024-09-25-rubert_tiny2_russe_toxicity_en.md
new file mode 100644
index 00000000000000..80b7cc6febae6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-rubert_tiny2_russe_toxicity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rubert_tiny2_russe_toxicity BertForSequenceClassification from BunnyNoBugs
+author: John Snow Labs
+name: rubert_tiny2_russe_toxicity
+date: 2024-09-25
+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.`rubert_tiny2_russe_toxicity` is a English model originally trained by BunnyNoBugs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny2_russe_toxicity_en_5.5.0_3.0_1727278792861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny2_russe_toxicity_en_5.5.0_3.0_1727278792861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny2_russe_toxicity|
+|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/BunnyNoBugs/rubert-tiny2-russe-toxicity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-rubert_tiny_custom_cross_encoder_en.md b/docs/_posts/ahmedlone127/2024-09-25-rubert_tiny_custom_cross_encoder_en.md
new file mode 100644
index 00000000000000..20a1f002363d89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-rubert_tiny_custom_cross_encoder_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rubert_tiny_custom_cross_encoder BertForSequenceClassification from WpythonW
+author: John Snow Labs
+name: rubert_tiny_custom_cross_encoder
+date: 2024-09-25
+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.`rubert_tiny_custom_cross_encoder` is a English model originally trained by WpythonW.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny_custom_cross_encoder_en_5.5.0_3.0_1727292506402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny_custom_cross_encoder_en_5.5.0_3.0_1727292506402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny_custom_cross_encoder|
+|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/WpythonW/RUbert-tiny_custom_cross-encoder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-rubert_tiny_custom_cross_encoder_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-rubert_tiny_custom_cross_encoder_pipeline_en.md
new file mode 100644
index 00000000000000..d98b51491299b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-rubert_tiny_custom_cross_encoder_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rubert_tiny_custom_cross_encoder_pipeline pipeline BertForSequenceClassification from WpythonW
+author: John Snow Labs
+name: rubert_tiny_custom_cross_encoder_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_custom_cross_encoder_pipeline` is a English model originally trained by WpythonW.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny_custom_cross_encoder_pipeline_en_5.5.0_3.0_1727292511843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny_custom_cross_encoder_pipeline_en_5.5.0_3.0_1727292511843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rubert_tiny_custom_cross_encoder_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rubert_tiny_custom_cross_encoder_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny_custom_cross_encoder_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/WpythonW/RUbert-tiny_custom_cross-encoder
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ruberttiny_multiclassv1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-ruberttiny_multiclassv1_pipeline_en.md
new file mode 100644
index 00000000000000..04109f61d56590
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ruberttiny_multiclassv1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ruberttiny_multiclassv1_pipeline pipeline BertForSequenceClassification from Shakhovak
+author: John Snow Labs
+name: ruberttiny_multiclassv1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ruberttiny_multiclassv1_pipeline` is a English model originally trained by Shakhovak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruberttiny_multiclassv1_pipeline_en_5.5.0_3.0_1727261053098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruberttiny_multiclassv1_pipeline_en_5.5.0_3.0_1727261053098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ruberttiny_multiclassv1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ruberttiny_multiclassv1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruberttiny_multiclassv1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|109.6 MB|
+
+## References
+
+https://huggingface.co/Shakhovak/ruBertTiny_multiclassv1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ruberttox_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-25-ruberttox_pipeline_ru.md
new file mode 100644
index 00000000000000..951d60e88a6952
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ruberttox_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian ruberttox_pipeline pipeline BertForSequenceClassification from assskelad
+author: John Snow Labs
+name: ruberttox_pipeline
+date: 2024-09-25
+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.`ruberttox_pipeline` is a Russian model originally trained by assskelad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruberttox_pipeline_ru_5.5.0_3.0_1727292361043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruberttox_pipeline_ru_5.5.0_3.0_1727292361043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ruberttox_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ruberttox_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruberttox_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|669.3 MB|
+
+## References
+
+https://huggingface.co/assskelad/ruBerttox
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-ruberttox_ru.md b/docs/_posts/ahmedlone127/2024-09-25-ruberttox_ru.md
new file mode 100644
index 00000000000000..37591d2728c6f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-ruberttox_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian ruberttox BertForSequenceClassification from assskelad
+author: John Snow Labs
+name: ruberttox
+date: 2024-09-25
+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.`ruberttox` is a Russian model originally trained by assskelad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruberttox_ru_5.5.0_3.0_1727292322847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruberttox_ru_5.5.0_3.0_1727292322847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruberttox|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|669.3 MB|
+
+## References
+
+https://huggingface.co/assskelad/ruBerttox
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-russscholar_seeker_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-russscholar_seeker_pipeline_en.md
new file mode 100644
index 00000000000000..3248d1730d331f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-russscholar_seeker_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English russscholar_seeker_pipeline pipeline BertForSequenceClassification from Gao-Tianci
+author: John Snow Labs
+name: russscholar_seeker_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`russscholar_seeker_pipeline` is a English model originally trained by Gao-Tianci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/russscholar_seeker_pipeline_en_5.5.0_3.0_1727263692392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/russscholar_seeker_pipeline_en_5.5.0_3.0_1727263692392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("russscholar_seeker_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("russscholar_seeker_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|russscholar_seeker_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Gao-Tianci/RussScholar-Seeker
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sabert_spanish_fake_news_es.md b/docs/_posts/ahmedlone127/2024-09-25-sabert_spanish_fake_news_es.md
new file mode 100644
index 00000000000000..b629b70a6bbd9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sabert_spanish_fake_news_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish sabert_spanish_fake_news BertForSequenceClassification from VerificadoProfesional
+author: John Snow Labs
+name: sabert_spanish_fake_news
+date: 2024-09-25
+tags: [es, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: es
+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.`sabert_spanish_fake_news` is a Castilian, Spanish model originally trained by VerificadoProfesional.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sabert_spanish_fake_news_es_5.5.0_3.0_1727308799765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sabert_spanish_fake_news_es_5.5.0_3.0_1727308799765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sabert_spanish_fake_news|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Fake-News
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-samagrabot_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-25-samagrabot_classifier_en.md
new file mode 100644
index 00000000000000..dc972a2c30c33c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-samagrabot_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English samagrabot_classifier BertForSequenceClassification from GautamR
+author: John Snow Labs
+name: samagrabot_classifier
+date: 2024-09-25
+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.`samagrabot_classifier` is a English model originally trained by GautamR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/samagrabot_classifier_en_5.5.0_3.0_1727298437464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/samagrabot_classifier_en_5.5.0_3.0_1727298437464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|samagrabot_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/GautamR/samagrabot_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-samagrabot_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-samagrabot_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..1ac1c69e045bbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-samagrabot_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English samagrabot_classifier_pipeline pipeline BertForSequenceClassification from GautamR
+author: John Snow Labs
+name: samagrabot_classifier_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`samagrabot_classifier_pipeline` is a English model originally trained by GautamR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/samagrabot_classifier_pipeline_en_5.5.0_3.0_1727298459853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/samagrabot_classifier_pipeline_en_5.5.0_3.0_1727298459853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("samagrabot_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("samagrabot_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|samagrabot_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/GautamR/samagrabot_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sbert_yelp2class_fast_en.md b/docs/_posts/ahmedlone127/2024-09-25-sbert_yelp2class_fast_en.md
new file mode 100644
index 00000000000000..08775a0d0ef1f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sbert_yelp2class_fast_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sbert_yelp2class_fast BertForSequenceClassification from Siki-77
+author: John Snow Labs
+name: sbert_yelp2class_fast
+date: 2024-09-25
+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.`sbert_yelp2class_fast` is a English model originally trained by Siki-77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sbert_yelp2class_fast_en_5.5.0_3.0_1727308039270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sbert_yelp2class_fast_en_5.5.0_3.0_1727308039270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sbert_yelp2class_fast|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|84.7 MB|
+
+## References
+
+https://huggingface.co/Siki-77/sbert_yelp2class_fast
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sbert_yelp2class_fast_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sbert_yelp2class_fast_pipeline_en.md
new file mode 100644
index 00000000000000..0ce455925a1589
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sbert_yelp2class_fast_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sbert_yelp2class_fast_pipeline pipeline BertForSequenceClassification from Siki-77
+author: John Snow Labs
+name: sbert_yelp2class_fast_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`sbert_yelp2class_fast_pipeline` is a English model originally trained by Siki-77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sbert_yelp2class_fast_pipeline_en_5.5.0_3.0_1727308044609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sbert_yelp2class_fast_pipeline_en_5.5.0_3.0_1727308044609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sbert_yelp2class_fast_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sbert_yelp2class_fast_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sbert_yelp2class_fast_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|84.8 MB|
+
+## References
+
+https://huggingface.co/Siki-77/sbert_yelp2class_fast
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-scitweets_scibert_en.md b/docs/_posts/ahmedlone127/2024-09-25-scitweets_scibert_en.md
new file mode 100644
index 00000000000000..4096ff23b27ced
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-scitweets_scibert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English scitweets_scibert BertForSequenceClassification from sschellhammer
+author: John Snow Labs
+name: scitweets_scibert
+date: 2024-09-25
+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.`scitweets_scibert` is a English model originally trained by sschellhammer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scitweets_scibert_en_5.5.0_3.0_1727294476130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scitweets_scibert_en_5.5.0_3.0_1727294476130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scitweets_scibert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/sschellhammer/SciTweets_SciBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-scitweets_scibert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-scitweets_scibert_pipeline_en.md
new file mode 100644
index 00000000000000..8d0ddf76c5bf54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-scitweets_scibert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scitweets_scibert_pipeline pipeline BertForSequenceClassification from sschellhammer
+author: John Snow Labs
+name: scitweets_scibert_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`scitweets_scibert_pipeline` is a English model originally trained by sschellhammer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scitweets_scibert_pipeline_en_5.5.0_3.0_1727294497777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scitweets_scibert_pipeline_en_5.5.0_3.0_1727294497777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scitweets_scibert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scitweets_scibert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scitweets_scibert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/sschellhammer/SciTweets_SciBert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sead_l_6_h_256_a_8_mrpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sead_l_6_h_256_a_8_mrpc_pipeline_en.md
new file mode 100644
index 00000000000000..8f10dfca899ae7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sead_l_6_h_256_a_8_mrpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sead_l_6_h_256_a_8_mrpc_pipeline pipeline BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_256_a_8_mrpc_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_256_a_8_mrpc_pipeline` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_mrpc_pipeline_en_5.5.0_3.0_1727256758599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_mrpc_pipeline_en_5.5.0_3.0_1727256758599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sead_l_6_h_256_a_8_mrpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sead_l_6_h_256_a_8_mrpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_256_a_8_mrpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|47.3 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-256_A-8-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sead_l_6_h_384_a_12_rte_en.md b/docs/_posts/ahmedlone127/2024-09-25-sead_l_6_h_384_a_12_rte_en.md
new file mode 100644
index 00000000000000..2edbc0f6f4e25e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sead_l_6_h_384_a_12_rte_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sead_l_6_h_384_a_12_rte BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_384_a_12_rte
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_384_a_12_rte` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_384_a_12_rte_en_5.5.0_3.0_1727304370305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_384_a_12_rte_en_5.5.0_3.0_1727304370305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_384_a_12_rte|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|84.2 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-384_A-12-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_french_italian_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_french_italian_cased_pipeline_en.md
new file mode 100644
index 00000000000000..c2825d0b759969
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_french_italian_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_french_italian_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_french_italian_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_french_italian_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_italian_cased_pipeline_en_5.5.0_3.0_1727248919780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_french_italian_cased_pipeline_en_5.5.0_3.0_1727248919780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_french_italian_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_french_italian_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_french_italian_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|428.7 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-fr-it-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_swahili_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_swahili_cased_pipeline_en.md
new file mode 100644
index 00000000000000..2836114d2af2f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_swahili_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_swahili_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_swahili_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_swahili_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_swahili_cased_pipeline_en_5.5.0_3.0_1727252224766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_swahili_cased_pipeline_en_5.5.0_3.0_1727252224766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_swahili_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_swahili_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_swahili_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-sw-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_urdu_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_urdu_cased_pipeline_en.md
new file mode 100644
index 00000000000000..091d9cf67108c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_bert_base_english_urdu_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bert_base_english_urdu_cased_pipeline pipeline BertSentenceEmbeddings from Geotrend
+author: John Snow Labs
+name: sent_bert_base_english_urdu_cased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_english_urdu_cased_pipeline` is a English model originally trained by Geotrend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_urdu_cased_pipeline_en_5.5.0_3.0_1727256690394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_english_urdu_cased_pipeline_en_5.5.0_3.0_1727256690394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_base_english_urdu_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_base_english_urdu_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_english_urdu_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.2 MB|
+
+## References
+
+https://huggingface.co/Geotrend/bert-base-en-ur-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_medbit_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-25-sent_medbit_pipeline_it.md
new file mode 100644
index 00000000000000..b91291f3b1fef9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_medbit_pipeline_it.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Italian sent_medbit_pipeline pipeline BertSentenceEmbeddings from IVN-RIN
+author: John Snow Labs
+name: sent_medbit_pipeline
+date: 2024-09-25
+tags: [it, open_source, pipeline, onnx]
+task: Embeddings
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_medbit_pipeline` is a Italian model originally trained by IVN-RIN.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_medbit_pipeline_it_5.5.0_3.0_1727248706567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_medbit_pipeline_it_5.5.0_3.0_1727248706567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_medbit_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_medbit_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_medbit_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/IVN-RIN/medBIT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sent_miem_scibert_linguistic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sent_miem_scibert_linguistic_pipeline_en.md
new file mode 100644
index 00000000000000..0b9e1bb4839998
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sent_miem_scibert_linguistic_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_miem_scibert_linguistic_pipeline pipeline BertSentenceEmbeddings from miemBertProject
+author: John Snow Labs
+name: sent_miem_scibert_linguistic_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark 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_miem_scibert_linguistic_pipeline` is a English model originally trained by miemBertProject.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_miem_scibert_linguistic_pipeline_en_5.5.0_3.0_1727249291091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_miem_scibert_linguistic_pipeline_en_5.5.0_3.0_1727249291091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_miem_scibert_linguistic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_miem_scibert_linguistic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_miem_scibert_linguistic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|658.0 MB|
+
+## References
+
+https://huggingface.co/miemBertProject/miem-scibert-linguistic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sentiment_analysis_bert_based_model_en.md b/docs/_posts/ahmedlone127/2024-09-25-sentiment_analysis_bert_based_model_en.md
new file mode 100644
index 00000000000000..1b8889b4fa6d5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sentiment_analysis_bert_based_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_bert_based_model BertForSequenceClassification from GhylB
+author: John Snow Labs
+name: sentiment_analysis_bert_based_model
+date: 2024-09-25
+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.`sentiment_analysis_bert_based_model` is a English model originally trained by GhylB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_bert_based_model_en_5.5.0_3.0_1727299614740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_bert_based_model_en_5.5.0_3.0_1727299614740.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_bert_based_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/GhylB/Sentiment_Analysis_BERT_Based_MODEL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sentiment_analysis_bert_based_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sentiment_analysis_bert_based_model_pipeline_en.md
new file mode 100644
index 00000000000000..e69172513cc127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sentiment_analysis_bert_based_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_bert_based_model_pipeline pipeline BertForSequenceClassification from GhylB
+author: John Snow Labs
+name: sentiment_analysis_bert_based_model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_bert_based_model_pipeline` is a English model originally trained by GhylB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_bert_based_model_pipeline_en_5.5.0_3.0_1727299637133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_bert_based_model_pipeline_en_5.5.0_3.0_1727299637133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_bert_based_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_bert_based_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_bert_based_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/GhylB/Sentiment_Analysis_BERT_Based_MODEL
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sentiment_analysis_trainer_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sentiment_analysis_trainer_model_pipeline_en.md
new file mode 100644
index 00000000000000..3312503f7418e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sentiment_analysis_trainer_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_trainer_model_pipeline pipeline BertForSequenceClassification from benmanks
+author: John Snow Labs
+name: sentiment_analysis_trainer_model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_trainer_model_pipeline` is a English model originally trained by benmanks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_trainer_model_pipeline_en_5.5.0_3.0_1727306370734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_trainer_model_pipeline_en_5.5.0_3.0_1727306370734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_trainer_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_trainer_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_trainer_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/benmanks/sentiment_analysis_trainer_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sentiment_classfication_distilbert_model_en.md b/docs/_posts/ahmedlone127/2024-09-25-sentiment_classfication_distilbert_model_en.md
new file mode 100644
index 00000000000000..d6bc9996647a88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sentiment_classfication_distilbert_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_classfication_distilbert_model BertForSequenceClassification from aaronayitey
+author: John Snow Labs
+name: sentiment_classfication_distilbert_model
+date: 2024-09-25
+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.`sentiment_classfication_distilbert_model` is a English model originally trained by aaronayitey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_classfication_distilbert_model_en_5.5.0_3.0_1727278258715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_classfication_distilbert_model_en_5.5.0_3.0_1727278258715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_classfication_distilbert_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/aaronayitey/Sentiment-classfication-distilBERT-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sentiment_classfication_distilbert_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-sentiment_classfication_distilbert_model_pipeline_en.md
new file mode 100644
index 00000000000000..c5a4b18a0b7957
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sentiment_classfication_distilbert_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_classfication_distilbert_model_pipeline pipeline BertForSequenceClassification from aaronayitey
+author: John Snow Labs
+name: sentiment_classfication_distilbert_model_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_classfication_distilbert_model_pipeline` is a English model originally trained by aaronayitey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_classfication_distilbert_model_pipeline_en_5.5.0_3.0_1727278279567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_classfication_distilbert_model_pipeline_en_5.5.0_3.0_1727278279567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_classfication_distilbert_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_classfication_distilbert_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_classfication_distilbert_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/aaronayitey/Sentiment-classfication-distilBERT-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-snli_w_premise_100k_1_epoch_en.md b/docs/_posts/ahmedlone127/2024-09-25-snli_w_premise_100k_1_epoch_en.md
new file mode 100644
index 00000000000000..3f7a5d40a25759
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-snli_w_premise_100k_1_epoch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English snli_w_premise_100k_1_epoch BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: snli_w_premise_100k_1_epoch
+date: 2024-09-25
+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.`snli_w_premise_100k_1_epoch` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_w_premise_100k_1_epoch_en_5.5.0_3.0_1727284544873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_w_premise_100k_1_epoch_en_5.5.0_3.0_1727284544873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_w_premise_100k_1_epoch|
+|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/grace-pro/snli_w_premise_100k_1_epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-std_pnt_04_feather_berts_12_en.md b/docs/_posts/ahmedlone127/2024-09-25-std_pnt_04_feather_berts_12_en.md
new file mode 100644
index 00000000000000..c429300874441c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-std_pnt_04_feather_berts_12_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English std_pnt_04_feather_berts_12 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: std_pnt_04_feather_berts_12
+date: 2024-09-25
+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.`std_pnt_04_feather_berts_12` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/std_pnt_04_feather_berts_12_en_5.5.0_3.0_1727289543759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/std_pnt_04_feather_berts_12_en_5.5.0_3.0_1727289543759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|std_pnt_04_feather_berts_12|
+|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/Jeevesh8/std_pnt_04_feather_berts-12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-std_pnt_04_feather_berts_12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-std_pnt_04_feather_berts_12_pipeline_en.md
new file mode 100644
index 00000000000000..6ecacf1edff5d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-std_pnt_04_feather_berts_12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English std_pnt_04_feather_berts_12_pipeline pipeline BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: std_pnt_04_feather_berts_12_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`std_pnt_04_feather_berts_12_pipeline` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/std_pnt_04_feather_berts_12_pipeline_en_5.5.0_3.0_1727289565885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/std_pnt_04_feather_berts_12_pipeline_en_5.5.0_3.0_1727289565885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("std_pnt_04_feather_berts_12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("std_pnt_04_feather_berts_12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|std_pnt_04_feather_berts_12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/std_pnt_04_feather_berts-12
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-sumto_fns2020_en.md b/docs/_posts/ahmedlone127/2024-09-25-sumto_fns2020_en.md
new file mode 100644
index 00000000000000..7eaa7f963c9dd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-sumto_fns2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sumto_fns2020 BertForSequenceClassification from morenolq
+author: John Snow Labs
+name: sumto_fns2020
+date: 2024-09-25
+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.`sumto_fns2020` is a English model originally trained by morenolq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sumto_fns2020_en_5.5.0_3.0_1727307225319.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sumto_fns2020_en_5.5.0_3.0_1727307225319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sumto_fns2020|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.8 MB|
+
+## References
+
+https://huggingface.co/morenolq/SumTO_FNS2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-t_frex_bert_large_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-t_frex_bert_large_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..2128e9fbd13a8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-t_frex_bert_large_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English t_frex_bert_large_uncased_pipeline pipeline BertForTokenClassification from quim-motger
+author: John Snow Labs
+name: t_frex_bert_large_uncased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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.`t_frex_bert_large_uncased_pipeline` is a English model originally trained by quim-motger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t_frex_bert_large_uncased_pipeline_en_5.5.0_3.0_1727271831578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t_frex_bert_large_uncased_pipeline_en_5.5.0_3.0_1727271831578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("t_frex_bert_large_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("t_frex_bert_large_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t_frex_bert_large_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/quim-motger/t-frex-bert-large-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-test_ner_rundi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-test_ner_rundi_pipeline_en.md
new file mode 100644
index 00000000000000..bf0c6febc6db08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-test_ner_rundi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_ner_rundi_pipeline pipeline BertForTokenClassification from lltala
+author: John Snow Labs
+name: test_ner_rundi_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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.`test_ner_rundi_pipeline` is a English model originally trained by lltala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_ner_rundi_pipeline_en_5.5.0_3.0_1727283646883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_ner_rundi_pipeline_en_5.5.0_3.0_1727283646883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_ner_rundi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_ner_rundi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_ner_rundi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/lltala/test-ner-run
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-test_trainer_alerams_en.md b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_alerams_en.md
new file mode 100644
index 00000000000000..0728a06f9747d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_alerams_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_trainer_alerams BertForSequenceClassification from AleRams
+author: John Snow Labs
+name: test_trainer_alerams
+date: 2024-09-25
+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.`test_trainer_alerams` is a English model originally trained by AleRams.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_alerams_en_5.5.0_3.0_1727289711818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_alerams_en_5.5.0_3.0_1727289711818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_alerams|
+|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/AleRams/test-trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-test_trainer_lsb_en.md b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_lsb_en.md
new file mode 100644
index 00000000000000..408290ca38096e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_lsb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_trainer_lsb BertForSequenceClassification from lsb
+author: John Snow Labs
+name: test_trainer_lsb
+date: 2024-09-25
+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.`test_trainer_lsb` is a English model originally trained by lsb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_lsb_en_5.5.0_3.0_1727291626463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_lsb_en_5.5.0_3.0_1727291626463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_lsb|
+|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/lsb/test_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-test_trainer_lsb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_lsb_pipeline_en.md
new file mode 100644
index 00000000000000..68bbdfefecb2da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-test_trainer_lsb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_trainer_lsb_pipeline pipeline BertForSequenceClassification from lsb
+author: John Snow Labs
+name: test_trainer_lsb_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`test_trainer_lsb_pipeline` is a English model originally trained by lsb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_lsb_pipeline_en_5.5.0_3.0_1727291659578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_lsb_pipeline_en_5.5.0_3.0_1727291659578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_trainer_lsb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_trainer_lsb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_lsb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/lsb/test_trainer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-testing1_en.md b/docs/_posts/ahmedlone127/2024-09-25-testing1_en.md
new file mode 100644
index 00000000000000..01d036c14c0376
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-testing1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English testing1 BertForSequenceClassification from SpicyCorpse
+author: John Snow Labs
+name: testing1
+date: 2024-09-25
+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.`testing1` is a English model originally trained by SpicyCorpse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing1_en_5.5.0_3.0_1727308278240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing1_en_5.5.0_3.0_1727308278240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/SpicyCorpse/testing1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-testing1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-testing1_pipeline_en.md
new file mode 100644
index 00000000000000..fd19079f4d50d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-testing1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English testing1_pipeline pipeline BertForSequenceClassification from SpicyCorpse
+author: John Snow Labs
+name: testing1_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`testing1_pipeline` is a English model originally trained by SpicyCorpse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing1_pipeline_en_5.5.0_3.0_1727308299627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing1_pipeline_en_5.5.0_3.0_1727308299627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testing1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testing1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/SpicyCorpse/testing1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-text_classification_medical_en.md b/docs/_posts/ahmedlone127/2024-09-25-text_classification_medical_en.md
new file mode 100644
index 00000000000000..329f0c4c36c931
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-text_classification_medical_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_classification_medical BertForSequenceClassification from felipe-nextly
+author: John Snow Labs
+name: text_classification_medical
+date: 2024-09-25
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_medical` is a English model originally trained by felipe-nextly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_medical_en_5.5.0_3.0_1727295686217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_medical_en_5.5.0_3.0_1727295686217.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_medical|
+|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/felipe-nextly/text-classification-medical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sentiment_persian_fa.md b/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sentiment_persian_fa.md
new file mode 100644
index 00000000000000..7a62c0d0137bd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sentiment_persian_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian tiny_bert_sentiment_persian BertForSequenceClassification from dadashzadeh
+author: John Snow Labs
+name: tiny_bert_sentiment_persian
+date: 2024-09-25
+tags: [fa, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_bert_sentiment_persian` is a Persian model originally trained by dadashzadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_sentiment_persian_fa_5.5.0_3.0_1727292676299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_sentiment_persian_fa_5.5.0_3.0_1727292676299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_sentiment_persian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/dadashzadeh/tiny-bert-Sentiment-persian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sentiment_persian_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sentiment_persian_pipeline_fa.md
new file mode 100644
index 00000000000000..467e240e320775
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sentiment_persian_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian tiny_bert_sentiment_persian_pipeline pipeline BertForSequenceClassification from dadashzadeh
+author: John Snow Labs
+name: tiny_bert_sentiment_persian_pipeline
+date: 2024-09-25
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_bert_sentiment_persian_pipeline` is a Persian model originally trained by dadashzadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_sentiment_persian_pipeline_fa_5.5.0_3.0_1727292677577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_sentiment_persian_pipeline_fa_5.5.0_3.0_1727292677577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_bert_sentiment_persian_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_bert_sentiment_persian_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_sentiment_persian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/dadashzadeh/tiny-bert-Sentiment-persian
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sst2_distilled_clone_en.md b/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sst2_distilled_clone_en.md
new file mode 100644
index 00000000000000..7dc68c682dfa8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sst2_distilled_clone_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tiny_bert_sst2_distilled_clone BertForSequenceClassification from fxmarty
+author: John Snow Labs
+name: tiny_bert_sst2_distilled_clone
+date: 2024-09-25
+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.`tiny_bert_sst2_distilled_clone` is a English model originally trained by fxmarty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_sst2_distilled_clone_en_5.5.0_3.0_1727273259585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_sst2_distilled_clone_en_5.5.0_3.0_1727273259585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_sst2_distilled_clone|
+|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/fxmarty/tiny-bert-sst2-distilled-clone
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sst2_distilled_clone_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sst2_distilled_clone_pipeline_en.md
new file mode 100644
index 00000000000000..09fd97868e6b98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-tiny_bert_sst2_distilled_clone_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tiny_bert_sst2_distilled_clone_pipeline pipeline BertForSequenceClassification from fxmarty
+author: John Snow Labs
+name: tiny_bert_sst2_distilled_clone_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`tiny_bert_sst2_distilled_clone_pipeline` is a English model originally trained by fxmarty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_sst2_distilled_clone_pipeline_en_5.5.0_3.0_1727273260802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_sst2_distilled_clone_pipeline_en_5.5.0_3.0_1727273260802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_bert_sst2_distilled_clone_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_bert_sst2_distilled_clone_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_sst2_distilled_clone_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/fxmarty/tiny-bert-sst2-distilled-clone
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_en.md b/docs/_posts/ahmedlone127/2024-09-25-toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_en.md
new file mode 100644
index 00000000000000..a9d598246db9cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased BertForSequenceClassification from l2reg
+author: John Snow Labs
+name: toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased
+date: 2024-09-25
+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.`toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased` is a English model originally trained by l2reg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_en_5.5.0_3.0_1727304380452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_en_5.5.0_3.0_1727304380452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|691.6 MB|
+
+## References
+
+https://huggingface.co/l2reg/toxic-dbmdz-bert-base-turkish-128k-uncased-fully-unbiased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline_en.md
new file mode 100644
index 00000000000000..72e13e42162832
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline pipeline BertForSequenceClassification from l2reg
+author: John Snow Labs
+name: toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline` is a English model originally trained by l2reg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline_en_5.5.0_3.0_1727304416836.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline_en_5.5.0_3.0_1727304416836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_dbmdz_bert_base_turkish_128k_uncased_fully_unbiased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|691.6 MB|
+
+## References
+
+https://huggingface.co/l2reg/toxic-dbmdz-bert-base-turkish-128k-uncased-fully-unbiased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-toxic_hubert_pipeline_hu.md b/docs/_posts/ahmedlone127/2024-09-25-toxic_hubert_pipeline_hu.md
new file mode 100644
index 00000000000000..fe456d0aebeb52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-toxic_hubert_pipeline_hu.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Hungarian toxic_hubert_pipeline pipeline BertForSequenceClassification from RabidUmarell
+author: John Snow Labs
+name: toxic_hubert_pipeline
+date: 2024-09-25
+tags: [hu, open_source, pipeline, onnx]
+task: Text Classification
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_hubert_pipeline` is a Hungarian model originally trained by RabidUmarell.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_hubert_pipeline_hu_5.5.0_3.0_1727300490850.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_hubert_pipeline_hu_5.5.0_3.0_1727300490850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("toxic_hubert_pipeline", lang = "hu")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("toxic_hubert_pipeline", lang = "hu")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_hubert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hu|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/RabidUmarell/toxic-hubert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-toxicity_analyzer_en.md b/docs/_posts/ahmedlone127/2024-09-25-toxicity_analyzer_en.md
new file mode 100644
index 00000000000000..4f3a84d00f6266
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-toxicity_analyzer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxicity_analyzer BertForSequenceClassification from Vlad1m
+author: John Snow Labs
+name: toxicity_analyzer
+date: 2024-09-25
+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.`toxicity_analyzer` is a English model originally trained by Vlad1m.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxicity_analyzer_en_5.5.0_3.0_1727300948025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxicity_analyzer_en_5.5.0_3.0_1727300948025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxicity_analyzer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/Vlad1m/toxicity_analyzer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-toxicity_analyzer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-toxicity_analyzer_pipeline_en.md
new file mode 100644
index 00000000000000..3a5d331bcb8be1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-toxicity_analyzer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English toxicity_analyzer_pipeline pipeline BertForSequenceClassification from Vlad1m
+author: John Snow Labs
+name: toxicity_analyzer_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`toxicity_analyzer_pipeline` is a English model originally trained by Vlad1m.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxicity_analyzer_pipeline_en_5.5.0_3.0_1727300984723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxicity_analyzer_pipeline_en_5.5.0_3.0_1727300984723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("toxicity_analyzer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("toxicity_analyzer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxicity_analyzer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|664.5 MB|
+
+## References
+
+https://huggingface.co/Vlad1m/toxicity_analyzer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-trac2020_all_a_bert_base_multilingual_uncased_xx.md b/docs/_posts/ahmedlone127/2024-09-25-trac2020_all_a_bert_base_multilingual_uncased_xx.md
new file mode 100644
index 00000000000000..87904188c07702
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-trac2020_all_a_bert_base_multilingual_uncased_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual trac2020_all_a_bert_base_multilingual_uncased BertForSequenceClassification from socialmediaie
+author: John Snow Labs
+name: trac2020_all_a_bert_base_multilingual_uncased
+date: 2024-09-25
+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.`trac2020_all_a_bert_base_multilingual_uncased` is a Multilingual model originally trained by socialmediaie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trac2020_all_a_bert_base_multilingual_uncased_xx_5.5.0_3.0_1727305662508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trac2020_all_a_bert_base_multilingual_uncased_xx_5.5.0_3.0_1727305662508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trac2020_hin_a_bert_base_multilingual_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/socialmediaie/TRAC2020_HIN_A_bert-base-multilingual-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-25-turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline_tr.md
new file mode 100644
index 00000000000000..c89437bfe5c460
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline pipeline BertForSequenceClassification from atasoglu
+author: John Snow Labs
+name: turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline
+date: 2024-09-25
+tags: [tr, open_source, pipeline, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline` is a Turkish model originally trained by atasoglu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline_tr_5.5.0_3.0_1727287836537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline_tr_5.5.0_3.0_1727287836537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_tiny_bert_uncased_offenseval2020_turkish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|17.5 MB|
+
+## References
+
+https://huggingface.co/atasoglu/turkish-tiny-bert-uncased-offenseval2020_tr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-twitter_bert_base_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-twitter_bert_base_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..2d7d75ed242b4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-twitter_bert_base_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_bert_base_sentiment_pipeline pipeline BertForSequenceClassification from jonathanybema
+author: John Snow Labs
+name: twitter_bert_base_sentiment_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`twitter_bert_base_sentiment_pipeline` is a English model originally trained by jonathanybema.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_bert_base_sentiment_pipeline_en_5.5.0_3.0_1727284674397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_bert_base_sentiment_pipeline_en_5.5.0_3.0_1727284674397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_bert_base_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_bert_base_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_bert_base_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jonathanybema/twitter-bert-base-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-25-twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline_xx.md
new file mode 100644
index 00000000000000..df4edfaa5d38ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline pipeline BertForSequenceClassification from SiddharthaM
+author: John Snow Labs
+name: twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline
+date: 2024-09-25
+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.`twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline` is a Multilingual model originally trained by SiddharthaM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline_xx_5.5.0_3.0_1727289343244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline_xx_5.5.0_3.0_1727289343244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_data_bert_base_multilingual_uncased_hindi_only_memes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/SiddharthaM/twitter-data-bert-base-multilingual-uncased-hindi-only-memes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-twitter_data_bert_base_multilingual_uncased_hindi_only_memes_xx.md b/docs/_posts/ahmedlone127/2024-09-25-twitter_data_bert_base_multilingual_uncased_hindi_only_memes_xx.md
new file mode 100644
index 00000000000000..333540d41b44bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-twitter_data_bert_base_multilingual_uncased_hindi_only_memes_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual twitter_data_bert_base_multilingual_uncased_hindi_only_memes BertForSequenceClassification from SiddharthaM
+author: John Snow Labs
+name: twitter_data_bert_base_multilingual_uncased_hindi_only_memes
+date: 2024-09-25
+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.`twitter_data_bert_base_multilingual_uncased_hindi_only_memes` is a Multilingual model originally trained by SiddharthaM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_data_bert_base_multilingual_uncased_hindi_only_memes_xx_5.5.0_3.0_1727289304564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_data_bert_base_multilingual_uncased_hindi_only_memes_xx_5.5.0_3.0_1727289304564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_data_bert_base_multilingual_uncased_hindi_only_memes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/SiddharthaM/twitter-data-bert-base-multilingual-uncased-hindi-only-memes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-vaccinchatsentenceclassifierdutch_frombertje2_dadialog_en.md b/docs/_posts/ahmedlone127/2024-09-25-vaccinchatsentenceclassifierdutch_frombertje2_dadialog_en.md
new file mode 100644
index 00000000000000..b22a24ac0d3635
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-vaccinchatsentenceclassifierdutch_frombertje2_dadialog_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English vaccinchatsentenceclassifierdutch_frombertje2_dadialog BertForSequenceClassification from Jeska
+author: John Snow Labs
+name: vaccinchatsentenceclassifierdutch_frombertje2_dadialog
+date: 2024-09-25
+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.`vaccinchatsentenceclassifierdutch_frombertje2_dadialog` is a English model originally trained by Jeska.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vaccinchatsentenceclassifierdutch_frombertje2_dadialog_en_5.5.0_3.0_1727268336220.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vaccinchatsentenceclassifierdutch_frombertje2_dadialog_en_5.5.0_3.0_1727268336220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vaccinchatsentenceclassifierdutch_frombertje2_dadialog|
+|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/Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-vinilm_2021_qa_evaluator_en.md b/docs/_posts/ahmedlone127/2024-09-25-vinilm_2021_qa_evaluator_en.md
new file mode 100644
index 00000000000000..12ebb62d7e063c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-vinilm_2021_qa_evaluator_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English vinilm_2021_qa_evaluator BertForSequenceClassification from VMware
+author: John Snow Labs
+name: vinilm_2021_qa_evaluator
+date: 2024-09-25
+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.`vinilm_2021_qa_evaluator` is a English model originally trained by VMware.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vinilm_2021_qa_evaluator_en_5.5.0_3.0_1727290732614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vinilm_2021_qa_evaluator_en_5.5.0_3.0_1727290732614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vinilm_2021_qa_evaluator|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.5 MB|
+
+## References
+
+https://huggingface.co/VMware/vinilm-2021-qa-evaluator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-wuwenbin_test_bert_base_uncased_mrpc_en.md b/docs/_posts/ahmedlone127/2024-09-25-wuwenbin_test_bert_base_uncased_mrpc_en.md
new file mode 100644
index 00000000000000..fb7a38d8811afe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-wuwenbin_test_bert_base_uncased_mrpc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English wuwenbin_test_bert_base_uncased_mrpc BertForSequenceClassification from RainboWu
+author: John Snow Labs
+name: wuwenbin_test_bert_base_uncased_mrpc
+date: 2024-09-25
+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.`wuwenbin_test_bert_base_uncased_mrpc` is a English model originally trained by RainboWu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wuwenbin_test_bert_base_uncased_mrpc_en_5.5.0_3.0_1727278763327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wuwenbin_test_bert_base_uncased_mrpc_en_5.5.0_3.0_1727278763327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wuwenbin_test_bert_base_uncased_mrpc|
+|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/RainboWu/wuwenbin-test-bert-base-uncased-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-wuwenbin_test_bert_base_uncased_mrpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-wuwenbin_test_bert_base_uncased_mrpc_pipeline_en.md
new file mode 100644
index 00000000000000..9dc12167d5a3db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-wuwenbin_test_bert_base_uncased_mrpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English wuwenbin_test_bert_base_uncased_mrpc_pipeline pipeline BertForSequenceClassification from RainboWu
+author: John Snow Labs
+name: wuwenbin_test_bert_base_uncased_mrpc_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`wuwenbin_test_bert_base_uncased_mrpc_pipeline` is a English model originally trained by RainboWu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wuwenbin_test_bert_base_uncased_mrpc_pipeline_en_5.5.0_3.0_1727278786445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wuwenbin_test_bert_base_uncased_mrpc_pipeline_en_5.5.0_3.0_1727278786445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("wuwenbin_test_bert_base_uncased_mrpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("wuwenbin_test_bert_base_uncased_mrpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wuwenbin_test_bert_base_uncased_mrpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/RainboWu/wuwenbin-test-bert-base-uncased-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_misogyny_sexism_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_misogyny_sexism_pipeline_en.md
new file mode 100644
index 00000000000000..d28722aa2e8055
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-xlm_roberta_base_finetuned_misogyny_sexism_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_misogyny_sexism_pipeline pipeline XlmRoBertaForSequenceClassification from annahaz
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_misogyny_sexism_pipeline
+date: 2024-09-25
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_misogyny_sexism_pipeline` is a English model originally trained by annahaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_misogyny_sexism_pipeline_en_5.5.0_3.0_1727229240510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_misogyny_sexism_pipeline_en_5.5.0_3.0_1727229240510.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_misogyny_sexism_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_misogyny_sexism_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_misogyny_sexism_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|877.4 MB|
+
+## References
+
+https://huggingface.co/annahaz/xlm-roberta-base-finetuned-misogyny-sexism
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-yahoo2_en.md b/docs/_posts/ahmedlone127/2024-09-25-yahoo2_en.md
new file mode 100644
index 00000000000000..014352a5c965f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-yahoo2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English yahoo2 BertForSequenceClassification from Lumos
+author: John Snow Labs
+name: yahoo2
+date: 2024-09-25
+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.`yahoo2` is a English model originally trained by Lumos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yahoo2_en_5.5.0_3.0_1727287204052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yahoo2_en_5.5.0_3.0_1727287204052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yahoo2|
+|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/Lumos/yahoo2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-25-zidan_model_output_v4_en.md b/docs/_posts/ahmedlone127/2024-09-25-zidan_model_output_v4_en.md
new file mode 100644
index 00000000000000..5f38fad2008c2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-25-zidan_model_output_v4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English zidan_model_output_v4 BertForSequenceClassification from ZidanAf
+author: John Snow Labs
+name: zidan_model_output_v4
+date: 2024-09-25
+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.`zidan_model_output_v4` is a English model originally trained by ZidanAf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zidan_model_output_v4_en_5.5.0_3.0_1727268472265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zidan_model_output_v4_en_5.5.0_3.0_1727268472265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|zidan_model_output_v4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|413.9 MB|
+
+## References
+
+https://huggingface.co/ZidanAf/Zidan_model_output_v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-11_pipeline_en.md
new file mode 100644
index 00000000000000..94b15c75fa4057
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-11_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 11_pipeline pipeline BertForSequenceClassification from hyeonddu
+author: John Snow Labs
+name: 11_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`11_pipeline` is a English model originally trained by hyeonddu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/11_pipeline_en_5.5.0_3.0_1727338613066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/11_pipeline_en_5.5.0_3.0_1727338613066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/hyeonddu/11
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-2d6_1600_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-2d6_1600_pipeline_en.md
new file mode 100644
index 00000000000000..c0124a59dcb414
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-2d6_1600_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2d6_1600_pipeline pipeline BertForSequenceClassification from abbassix
+author: John Snow Labs
+name: 2d6_1600_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`2d6_1600_pipeline` is a English model originally trained by abbassix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2d6_1600_pipeline_en_5.5.0_3.0_1727341302416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2d6_1600_pipeline_en_5.5.0_3.0_1727341302416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2d6_1600_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2d6_1600_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2d6_1600_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/abbassix/2d6_1600
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-2d_oomv1_800_en.md b/docs/_posts/ahmedlone127/2024-09-26-2d_oomv1_800_en.md
new file mode 100644
index 00000000000000..1580ba7e9c5c60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-2d_oomv1_800_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2d_oomv1_800 BertForSequenceClassification from abbassix
+author: John Snow Labs
+name: 2d_oomv1_800
+date: 2024-09-26
+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.`2d_oomv1_800` is a English model originally trained by abbassix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2d_oomv1_800_en_5.5.0_3.0_1727351412578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2d_oomv1_800_en_5.5.0_3.0_1727351412578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2d_oomv1_800|
+|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/abbassix/2d_oomv1_800
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-2d_oomv1_800_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-2d_oomv1_800_pipeline_en.md
new file mode 100644
index 00000000000000..1e08efd167e2c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-2d_oomv1_800_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 2d_oomv1_800_pipeline pipeline BertForSequenceClassification from abbassix
+author: John Snow Labs
+name: 2d_oomv1_800_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`2d_oomv1_800_pipeline` is a English model originally trained by abbassix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2d_oomv1_800_pipeline_en_5.5.0_3.0_1727351434190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2d_oomv1_800_pipeline_en_5.5.0_3.0_1727351434190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("2d_oomv1_800_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("2d_oomv1_800_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2d_oomv1_800_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/abbassix/2d_oomv1_800
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-absa_bert_model_en.md b/docs/_posts/ahmedlone127/2024-09-26-absa_bert_model_en.md
new file mode 100644
index 00000000000000..b6adcf691319a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-absa_bert_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English absa_bert_model BertForSequenceClassification from Bareubara
+author: John Snow Labs
+name: absa_bert_model
+date: 2024-09-26
+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.`absa_bert_model` is a English model originally trained by Bareubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/absa_bert_model_en_5.5.0_3.0_1727341987684.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/absa_bert_model_en_5.5.0_3.0_1727341987684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|absa_bert_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|669.3 MB|
+
+## References
+
+https://huggingface.co/Bareubara/absa-bert-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-absa_bert_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-absa_bert_model_pipeline_en.md
new file mode 100644
index 00000000000000..edaaced77736d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-absa_bert_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English absa_bert_model_pipeline pipeline BertForSequenceClassification from Bareubara
+author: John Snow Labs
+name: absa_bert_model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`absa_bert_model_pipeline` is a English model originally trained by Bareubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/absa_bert_model_pipeline_en_5.5.0_3.0_1727342022951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/absa_bert_model_pipeline_en_5.5.0_3.0_1727342022951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("absa_bert_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("absa_bert_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|absa_bert_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|669.3 MB|
+
+## References
+
+https://huggingface.co/Bareubara/absa-bert-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-absabert_keluhanpln_v3_id.md b/docs/_posts/ahmedlone127/2024-09-26-absabert_keluhanpln_v3_id.md
new file mode 100644
index 00000000000000..3d0b0e92560543
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-absabert_keluhanpln_v3_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian absabert_keluhanpln_v3 BertForSequenceClassification from radityapranata
+author: John Snow Labs
+name: absabert_keluhanpln_v3
+date: 2024-09-26
+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.`absabert_keluhanpln_v3` is a Indonesian model originally trained by radityapranata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/absabert_keluhanpln_v3_id_5.5.0_3.0_1727364190803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/absabert_keluhanpln_v3_id_5.5.0_3.0_1727364190803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|absabert_keluhanpln_v3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/radityapranata/absabert-keluhanpln-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-accelerate_training_loop_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-26-accelerate_training_loop_sst2_en.md
new file mode 100644
index 00000000000000..32b4b7ba7cfd5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-accelerate_training_loop_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English accelerate_training_loop_sst2 BertForSequenceClassification from Edward47
+author: John Snow Labs
+name: accelerate_training_loop_sst2
+date: 2024-09-26
+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.`accelerate_training_loop_sst2` is a English model originally trained by Edward47.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/accelerate_training_loop_sst2_en_5.5.0_3.0_1727312740694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/accelerate_training_loop_sst2_en_5.5.0_3.0_1727312740694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|accelerate_training_loop_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Edward47/accelerate_training_loop_sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell_en.md b/docs/_posts/ahmedlone127/2024-09-26-aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell_en.md
new file mode 100644
index 00000000000000..695f549aa6eb25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell BertForSequenceClassification from ys7yoo
+author: John Snow Labs
+name: aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell
+date: 2024-09-26
+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.`aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell` is a English model originally trained by ys7yoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell_en_5.5.0_3.0_1727354354211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell_en_5.5.0_3.0_1727354354211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/ys7yoo/aes_bert-base_lr3e-05_wr1e-01_wd1e-02_ep5_bell
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-afrisenti_yor_regression_en.md b/docs/_posts/ahmedlone127/2024-09-26-afrisenti_yor_regression_en.md
new file mode 100644
index 00000000000000..1142487995165e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-afrisenti_yor_regression_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English afrisenti_yor_regression BertForSequenceClassification from HausaNLP
+author: John Snow Labs
+name: afrisenti_yor_regression
+date: 2024-09-26
+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.`afrisenti_yor_regression` is a English model originally trained by HausaNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afrisenti_yor_regression_en_5.5.0_3.0_1727351344342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afrisenti_yor_regression_en_5.5.0_3.0_1727351344342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afrisenti_yor_regression|
+|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/HausaNLP/afrisenti-yor-regression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-afrisenti_yor_regression_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-afrisenti_yor_regression_pipeline_en.md
new file mode 100644
index 00000000000000..7fb21f70aa9066
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-afrisenti_yor_regression_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English afrisenti_yor_regression_pipeline pipeline BertForSequenceClassification from HausaNLP
+author: John Snow Labs
+name: afrisenti_yor_regression_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`afrisenti_yor_regression_pipeline` is a English model originally trained by HausaNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afrisenti_yor_regression_pipeline_en_5.5.0_3.0_1727351378372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afrisenti_yor_regression_pipeline_en_5.5.0_3.0_1727351378372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afrisenti_yor_regression_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afrisenti_yor_regression_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afrisenti_yor_regression_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/HausaNLP/afrisenti-yor-regression
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-albert_base_finetuned_ctrip_zh.md b/docs/_posts/ahmedlone127/2024-09-26-albert_base_finetuned_ctrip_zh.md
new file mode 100644
index 00000000000000..616242dece7a0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-albert_base_finetuned_ctrip_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese albert_base_finetuned_ctrip BertForSequenceClassification from WangA
+author: John Snow Labs
+name: albert_base_finetuned_ctrip
+date: 2024-09-26
+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.`albert_base_finetuned_ctrip` is a Chinese model originally trained by WangA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_finetuned_ctrip_zh_5.5.0_3.0_1727329026848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_finetuned_ctrip_zh_5.5.0_3.0_1727329026848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_finetuned_jd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|39.6 MB|
+
+## References
+
+https://huggingface.co/WangA/albert-base-finetuned-jd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-albert_base_finetuned_ocnli_chinese_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-26-albert_base_finetuned_ocnli_chinese_pipeline_zh.md
new file mode 100644
index 00000000000000..5e1c0e07b872e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-albert_base_finetuned_ocnli_chinese_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese albert_base_finetuned_ocnli_chinese_pipeline pipeline BertForSequenceClassification from WangA
+author: John Snow Labs
+name: albert_base_finetuned_ocnli_chinese_pipeline
+date: 2024-09-26
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_finetuned_ocnli_chinese_pipeline` is a Chinese model originally trained by WangA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_finetuned_ocnli_chinese_pipeline_zh_5.5.0_3.0_1727364512858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_finetuned_ocnli_chinese_pipeline_zh_5.5.0_3.0_1727364512858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_finetuned_ocnli_chinese_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_finetuned_ocnli_chinese_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_finetuned_ocnli_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|39.7 MB|
+
+## References
+
+https://huggingface.co/WangA/albert-base-finetuned-ocnli-chinese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-albert_books_test_en.md b/docs/_posts/ahmedlone127/2024-09-26-albert_books_test_en.md
new file mode 100644
index 00000000000000..ac5a534431aaff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-albert_books_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_books_test BertForSequenceClassification from qingmou
+author: John Snow Labs
+name: albert_books_test
+date: 2024-09-26
+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.`albert_books_test` is a English model originally trained by qingmou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_books_test_en_5.5.0_3.0_1727329109154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_books_test_en_5.5.0_3.0_1727329109154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_books_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|15.6 MB|
+
+## References
+
+https://huggingface.co/qingmou/albert-books-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-albert_books_test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-albert_books_test_pipeline_en.md
new file mode 100644
index 00000000000000..0df2e1437a1796
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-albert_books_test_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_books_test_pipeline pipeline BertForSequenceClassification from qingmou
+author: John Snow Labs
+name: albert_books_test_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_books_test_pipeline` is a English model originally trained by qingmou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_books_test_pipeline_en_5.5.0_3.0_1727329110283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_books_test_pipeline_en_5.5.0_3.0_1727329110283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_books_test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_books_test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_books_test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|15.6 MB|
+
+## References
+
+https://huggingface.co/qingmou/albert-books-test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-albert_dzaveri_en.md b/docs/_posts/ahmedlone127/2024-09-26-albert_dzaveri_en.md
new file mode 100644
index 00000000000000..483ff21a5212db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-albert_dzaveri_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_dzaveri BertForSequenceClassification from dzaveri
+author: John Snow Labs
+name: albert_dzaveri
+date: 2024-09-26
+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.`albert_dzaveri` is a English model originally trained by dzaveri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_dzaveri_en_5.5.0_3.0_1727335218794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_dzaveri_en_5.5.0_3.0_1727335218794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_dzaveri|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|126.0 MB|
+
+## References
+
+https://huggingface.co/dzaveri/albert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-albert_jiiyy_en.md b/docs/_posts/ahmedlone127/2024-09-26-albert_jiiyy_en.md
new file mode 100644
index 00000000000000..05b38daa5f7da9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-albert_jiiyy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_jiiyy BertForSequenceClassification from jiiyy
+author: John Snow Labs
+name: albert_jiiyy
+date: 2024-09-26
+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.`albert_jiiyy` is a English model originally trained by jiiyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_jiiyy_en_5.5.0_3.0_1727361296636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_jiiyy_en_5.5.0_3.0_1727361296636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_jiiyy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|49.9 MB|
+
+## References
+
+https://huggingface.co/jiiyy/albert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-albert_kor_base_finetuned_classfication_en.md b/docs/_posts/ahmedlone127/2024-09-26-albert_kor_base_finetuned_classfication_en.md
new file mode 100644
index 00000000000000..c705645daba54d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-albert_kor_base_finetuned_classfication_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_kor_base_finetuned_classfication BertForSequenceClassification from smjung
+author: John Snow Labs
+name: albert_kor_base_finetuned_classfication
+date: 2024-09-26
+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.`albert_kor_base_finetuned_classfication` is a English model originally trained by smjung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_kor_base_finetuned_classfication_en_5.5.0_3.0_1727366005912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_kor_base_finetuned_classfication_en_5.5.0_3.0_1727366005912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_kor_base_finetuned_classfication|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|49.9 MB|
+
+## References
+
+https://huggingface.co/smjung/albert-kor-base-finetuned-classfication
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-albert_kor_base_finetuned_ynat_en.md b/docs/_posts/ahmedlone127/2024-09-26-albert_kor_base_finetuned_ynat_en.md
new file mode 100644
index 00000000000000..6b44bdef755eb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-albert_kor_base_finetuned_ynat_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_kor_base_finetuned_ynat BertForSequenceClassification from smjung
+author: John Snow Labs
+name: albert_kor_base_finetuned_ynat
+date: 2024-09-26
+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.`albert_kor_base_finetuned_ynat` is a English model originally trained by smjung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_kor_base_finetuned_ynat_en_5.5.0_3.0_1727366534251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_kor_base_finetuned_ynat_en_5.5.0_3.0_1727366534251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_kor_base_finetuned_ynat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|49.9 MB|
+
+## References
+
+https://huggingface.co/smjung/albert-kor-base-finetuned-ynat
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-albertobertnews_en.md b/docs/_posts/ahmedlone127/2024-09-26-albertobertnews_en.md
new file mode 100644
index 00000000000000..8f43188cfcdc55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-albertobertnews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albertobertnews BertForSequenceClassification from GioReg
+author: John Snow Labs
+name: albertobertnews
+date: 2024-09-26
+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.`albertobertnews` is a English model originally trained by GioReg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albertobertnews_en_5.5.0_3.0_1727347615427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albertobertnews_en_5.5.0_3.0_1727347615427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albertobertnews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|691.9 MB|
+
+## References
+
+https://huggingface.co/GioReg/AlbertoBertnews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-amazon_cross_encoder_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-amazon_cross_encoder_classification_pipeline_en.md
new file mode 100644
index 00000000000000..c44138f8dd3a0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-amazon_cross_encoder_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazon_cross_encoder_classification_pipeline pipeline BertForSequenceClassification from LiYuan
+author: John Snow Labs
+name: amazon_cross_encoder_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`amazon_cross_encoder_classification_pipeline` is a English model originally trained by LiYuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_cross_encoder_classification_pipeline_en_5.5.0_3.0_1727338863960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_cross_encoder_classification_pipeline_en_5.5.0_3.0_1727338863960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazon_cross_encoder_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazon_cross_encoder_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_cross_encoder_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.2 MB|
+
+## References
+
+https://huggingface.co/LiYuan/Amazon-Cross-Encoder-Classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-amazon_rating_review_model_en.md b/docs/_posts/ahmedlone127/2024-09-26-amazon_rating_review_model_en.md
new file mode 100644
index 00000000000000..e540ed3b015706
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-amazon_rating_review_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amazon_rating_review_model BertForSequenceClassification from MahmoudMohamed
+author: John Snow Labs
+name: amazon_rating_review_model
+date: 2024-09-26
+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.`amazon_rating_review_model` is a English model originally trained by MahmoudMohamed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_rating_review_model_en_5.5.0_3.0_1727339421274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_rating_review_model_en_5.5.0_3.0_1727339421274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_rating_review_model|
+|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/MahmoudMohamed/Amazon_rating_review_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-amazon_reviews_finetuning_bert_base_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-26-amazon_reviews_finetuning_bert_base_sentiment_en.md
new file mode 100644
index 00000000000000..31db449fe03070
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-amazon_reviews_finetuning_bert_base_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amazon_reviews_finetuning_bert_base_sentiment BertForSequenceClassification from santiviquez
+author: John Snow Labs
+name: amazon_reviews_finetuning_bert_base_sentiment
+date: 2024-09-26
+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.`amazon_reviews_finetuning_bert_base_sentiment` is a English model originally trained by santiviquez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_reviews_finetuning_bert_base_sentiment_en_5.5.0_3.0_1727342256301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_reviews_finetuning_bert_base_sentiment_en_5.5.0_3.0_1727342256301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_reviews_finetuning_bert_base_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/santiviquez/amazon-reviews-finetuning-bert-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-amazon_reviews_finetuning_bert_base_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-amazon_reviews_finetuning_bert_base_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..46b7a1b2055d39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-amazon_reviews_finetuning_bert_base_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazon_reviews_finetuning_bert_base_sentiment_pipeline pipeline BertForSequenceClassification from santiviquez
+author: John Snow Labs
+name: amazon_reviews_finetuning_bert_base_sentiment_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`amazon_reviews_finetuning_bert_base_sentiment_pipeline` is a English model originally trained by santiviquez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_reviews_finetuning_bert_base_sentiment_pipeline_en_5.5.0_3.0_1727342290054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_reviews_finetuning_bert_base_sentiment_pipeline_en_5.5.0_3.0_1727342290054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazon_reviews_finetuning_bert_base_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazon_reviews_finetuning_bert_base_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_reviews_finetuning_bert_base_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/santiviquez/amazon-reviews-finetuning-bert-base-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-android_ios_classification_en.md b/docs/_posts/ahmedlone127/2024-09-26-android_ios_classification_en.md
new file mode 100644
index 00000000000000..308e4772601b4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-android_ios_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English android_ios_classification BertForSequenceClassification from EasthShin
+author: John Snow Labs
+name: android_ios_classification
+date: 2024-09-26
+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.`android_ios_classification` is a English model originally trained by EasthShin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/android_ios_classification_en_5.5.0_3.0_1727335627806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/android_ios_classification_en_5.5.0_3.0_1727335627806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|android_ios_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/EasthShin/Android_Ios_Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-android_ios_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-android_ios_classification_pipeline_en.md
new file mode 100644
index 00000000000000..9c7fc690852992
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-android_ios_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English android_ios_classification_pipeline pipeline BertForSequenceClassification from EasthShin
+author: John Snow Labs
+name: android_ios_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`android_ios_classification_pipeline` is a English model originally trained by EasthShin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/android_ios_classification_pipeline_en_5.5.0_3.0_1727335648636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/android_ios_classification_pipeline_en_5.5.0_3.0_1727335648636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("android_ios_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("android_ios_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|android_ios_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/EasthShin/Android_Ios_Classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-arabert_restaurant_sentiment_ar.md b/docs/_posts/ahmedlone127/2024-09-26-arabert_restaurant_sentiment_ar.md
new file mode 100644
index 00000000000000..6420a66638e25d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-arabert_restaurant_sentiment_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic arabert_restaurant_sentiment BertForSequenceClassification from moazx
+author: John Snow Labs
+name: arabert_restaurant_sentiment
+date: 2024-09-26
+tags: [ar, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabert_restaurant_sentiment` is a Arabic model originally trained by moazx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_restaurant_sentiment_ar_5.5.0_3.0_1727355508253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_restaurant_sentiment_ar_5.5.0_3.0_1727355508253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_restaurant_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ar|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/moazx/AraBERT-Restaurant-Sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-arabert_restaurant_sentiment_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-26-arabert_restaurant_sentiment_pipeline_ar.md
new file mode 100644
index 00000000000000..68934a1e81b54b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-arabert_restaurant_sentiment_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic arabert_restaurant_sentiment_pipeline pipeline BertForSequenceClassification from moazx
+author: John Snow Labs
+name: arabert_restaurant_sentiment_pipeline
+date: 2024-09-26
+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_restaurant_sentiment_pipeline` is a Arabic model originally trained by moazx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_restaurant_sentiment_pipeline_ar_5.5.0_3.0_1727355534564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_restaurant_sentiment_pipeline_ar_5.5.0_3.0_1727355534564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabert_restaurant_sentiment_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabert_restaurant_sentiment_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_restaurant_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/moazx/AraBERT-Restaurant-Sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-arabertv2_fully_supervised_arabic_propaganda_en.md b/docs/_posts/ahmedlone127/2024-09-26-arabertv2_fully_supervised_arabic_propaganda_en.md
new file mode 100644
index 00000000000000..048bcc4e2a4659
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-arabertv2_fully_supervised_arabic_propaganda_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English arabertv2_fully_supervised_arabic_propaganda BertForSequenceClassification from Bmalmotairy
+author: John Snow Labs
+name: arabertv2_fully_supervised_arabic_propaganda
+date: 2024-09-26
+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.`arabertv2_fully_supervised_arabic_propaganda` is a English model originally trained by Bmalmotairy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabertv2_fully_supervised_arabic_propaganda_en_5.5.0_3.0_1727316807057.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabertv2_fully_supervised_arabic_propaganda_en_5.5.0_3.0_1727316807057.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabicsent_chamabert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ar|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/ChaimaaBouafoud/arabicSent-ChamaBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-arabicsent_chamabert_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-26-arabicsent_chamabert_pipeline_ar.md
new file mode 100644
index 00000000000000..98e98190c0f019
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-arabicsent_chamabert_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic arabicsent_chamabert_pipeline pipeline BertForSequenceClassification from ChaimaaBouafoud
+author: John Snow Labs
+name: arabicsent_chamabert_pipeline
+date: 2024-09-26
+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.`arabicsent_chamabert_pipeline` is a Arabic model originally trained by ChaimaaBouafoud.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabicsent_chamabert_pipeline_ar_5.5.0_3.0_1727357313430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabicsent_chamabert_pipeline_ar_5.5.0_3.0_1727357313430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabicsent_chamabert_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabicsent_chamabert_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabicsent_chamabert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/ChaimaaBouafoud/arabicSent-ChamaBert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-autotrain_bertbase_imdb_1275748790_en.md b/docs/_posts/ahmedlone127/2024-09-26-autotrain_bertbase_imdb_1275748790_en.md
new file mode 100644
index 00000000000000..0f9816a47dd675
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-autotrain_bertbase_imdb_1275748790_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_bertbase_imdb_1275748790 BertForSequenceClassification from sasha
+author: John Snow Labs
+name: autotrain_bertbase_imdb_1275748790
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_bertbase_imdb_1275748790` is a English model originally trained by sasha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_bertbase_imdb_1275748790_en_5.5.0_3.0_1727343243596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_bertbase_imdb_1275748790_en_5.5.0_3.0_1727343243596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_bertbase_imdb_1275748790|
+|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/sasha/autotrain-BERTBase-imdb-1275748790
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-autotrain_customers_email_sentiment_3449294006_en.md b/docs/_posts/ahmedlone127/2024-09-26-autotrain_customers_email_sentiment_3449294006_en.md
new file mode 100644
index 00000000000000..27d6217c5e98af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-autotrain_customers_email_sentiment_3449294006_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_customers_email_sentiment_3449294006 BertForSequenceClassification from zabiullah
+author: John Snow Labs
+name: autotrain_customers_email_sentiment_3449294006
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_customers_email_sentiment_3449294006` is a English model originally trained by zabiullah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_customers_email_sentiment_3449294006_en_5.5.0_3.0_1727356761628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_customers_email_sentiment_3449294006_en_5.5.0_3.0_1727356761628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_customers_email_sentiment_3449294006|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/zabiullah/autotrain-customers_email_sentiment-3449294006
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-autotrain_customers_email_sentiment_3449294006_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-autotrain_customers_email_sentiment_3449294006_pipeline_en.md
new file mode 100644
index 00000000000000..61bb7620a5adbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-autotrain_customers_email_sentiment_3449294006_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_customers_email_sentiment_3449294006_pipeline pipeline BertForSequenceClassification from zabiullah
+author: John Snow Labs
+name: autotrain_customers_email_sentiment_3449294006_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_customers_email_sentiment_3449294006_pipeline` is a English model originally trained by zabiullah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_customers_email_sentiment_3449294006_pipeline_en_5.5.0_3.0_1727356824234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_customers_email_sentiment_3449294006_pipeline_en_5.5.0_3.0_1727356824234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_customers_email_sentiment_3449294006_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_customers_email_sentiment_3449294006_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_customers_email_sentiment_3449294006_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/zabiullah/autotrain-customers_email_sentiment-3449294006
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-banking77_text_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-banking77_text_classification_pipeline_en.md
new file mode 100644
index 00000000000000..959e6d6d47c689
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-banking77_text_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English banking77_text_classification_pipeline pipeline BertForSequenceClassification from ramnathv
+author: John Snow Labs
+name: banking77_text_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`banking77_text_classification_pipeline` is a English model originally trained by ramnathv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banking77_text_classification_pipeline_en_5.5.0_3.0_1727339734496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banking77_text_classification_pipeline_en_5.5.0_3.0_1727339734496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("banking77_text_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("banking77_text_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banking77_text_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/ramnathv/banking77-text-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-base_bert_fine_tuned_rte_en.md b/docs/_posts/ahmedlone127/2024-09-26-base_bert_fine_tuned_rte_en.md
new file mode 100644
index 00000000000000..5c18eb2bb9c206
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-base_bert_fine_tuned_rte_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English base_bert_fine_tuned_rte BertForSequenceClassification from rycecorn
+author: John Snow Labs
+name: base_bert_fine_tuned_rte
+date: 2024-09-26
+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.`base_bert_fine_tuned_rte` is a English model originally trained by rycecorn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_bert_fine_tuned_rte_en_5.5.0_3.0_1727312115801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_bert_fine_tuned_rte_en_5.5.0_3.0_1727312115801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_bert_fine_tuned_rte|
+|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/rycecorn/base-bert-fine-tuned-RTE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-base_bert_fine_tuned_rte_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-base_bert_fine_tuned_rte_pipeline_en.md
new file mode 100644
index 00000000000000..d70ad20b06fef4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-base_bert_fine_tuned_rte_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English base_bert_fine_tuned_rte_pipeline pipeline BertForSequenceClassification from rycecorn
+author: John Snow Labs
+name: base_bert_fine_tuned_rte_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`base_bert_fine_tuned_rte_pipeline` is a English model originally trained by rycecorn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_bert_fine_tuned_rte_pipeline_en_5.5.0_3.0_1727312137197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_bert_fine_tuned_rte_pipeline_en_5.5.0_3.0_1727312137197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("base_bert_fine_tuned_rte_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("base_bert_fine_tuned_rte_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_bert_fine_tuned_rte_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rycecorn/base-bert-fine-tuned-RTE
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_202k_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_202k_en.md
new file mode 100644
index 00000000000000..c8f93d047fe466
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_202k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_202k BertForSequenceClassification from 202k
+author: John Snow Labs
+name: bert_202k
+date: 2024-09-26
+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_202k` is a English model originally trained by 202k.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_202k_en_5.5.0_3.0_1727326457560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_202k_en_5.5.0_3.0_1727326457560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_202k|
+|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/202k/bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_43_multilabel_emotion_detection_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_43_multilabel_emotion_detection_en.md
new file mode 100644
index 00000000000000..a25d03dec50520
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_43_multilabel_emotion_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_43_multilabel_emotion_detection BertForSequenceClassification from borisn70
+author: John Snow Labs
+name: bert_43_multilabel_emotion_detection
+date: 2024-09-26
+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_43_multilabel_emotion_detection` is a English model originally trained by borisn70.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_43_multilabel_emotion_detection_en_5.5.0_3.0_1727370925464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_43_multilabel_emotion_detection_en_5.5.0_3.0_1727370925464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_43_multilabel_emotion_detection|
+|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/borisn70/bert-43-multilabel-emotion-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_aigc_classification_english_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_aigc_classification_english_en.md
new file mode 100644
index 00000000000000..50a7c79c0ae9bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_aigc_classification_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_aigc_classification_english BertForSequenceClassification from youssefkhalil320
+author: John Snow Labs
+name: bert_aigc_classification_english
+date: 2024-09-26
+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_aigc_classification_english` is a English model originally trained by youssefkhalil320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_aigc_classification_english_en_5.5.0_3.0_1727340080914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_aigc_classification_english_en_5.5.0_3.0_1727340080914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_aigc_classification_english|
+|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/youssefkhalil320/bert-AIGC-classification-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_aigc_classification_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_aigc_classification_english_pipeline_en.md
new file mode 100644
index 00000000000000..796c917b80017a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_aigc_classification_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_aigc_classification_english_pipeline pipeline BertForSequenceClassification from youssefkhalil320
+author: John Snow Labs
+name: bert_aigc_classification_english_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_aigc_classification_english_pipeline` is a English model originally trained by youssefkhalil320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_aigc_classification_english_pipeline_en_5.5.0_3.0_1727340102646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_aigc_classification_english_pipeline_en_5.5.0_3.0_1727340102646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_aigc_classification_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_aigc_classification_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_aigc_classification_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/youssefkhalil320/bert-AIGC-classification-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_arc_code_personality_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_arc_code_personality_en.md
new file mode 100644
index 00000000000000..743c1089dc49ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_arc_code_personality_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_arc_code_personality BertForSequenceClassification from AdithyaSK
+author: John Snow Labs
+name: bert_arc_code_personality
+date: 2024-09-26
+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_arc_code_personality` is a English model originally trained by AdithyaSK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_arc_code_personality_en_5.5.0_3.0_1727346724159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_arc_code_personality_en_5.5.0_3.0_1727346724159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_arc_code_personality|
+|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/AdithyaSK/Bert_arc_code_personality
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_azahead_v1_0_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_azahead_v1_0_en.md
new file mode 100644
index 00000000000000..90ecb0e7e899cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_azahead_v1_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_azahead_v1_0 BertForSequenceClassification from zwellington
+author: John Snow Labs
+name: bert_azahead_v1_0
+date: 2024-09-26
+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_azahead_v1_0` is a English model originally trained by zwellington.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_azahead_v1_0_en_5.5.0_3.0_1727351508182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_azahead_v1_0_en_5.5.0_3.0_1727351508182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_azahead_v1_0|
+|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/zwellington/bert-azahead-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_azahead_v1_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_azahead_v1_0_pipeline_en.md
new file mode 100644
index 00000000000000..1ac298f33241ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_azahead_v1_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_azahead_v1_0_pipeline pipeline BertForSequenceClassification from zwellington
+author: John Snow Labs
+name: bert_azahead_v1_0_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_azahead_v1_0_pipeline` is a English model originally trained by zwellington.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_azahead_v1_0_pipeline_en_5.5.0_3.0_1727351529937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_azahead_v1_0_pipeline_en_5.5.0_3.0_1727351529937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_azahead_v1_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_azahead_v1_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_azahead_v1_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/zwellington/bert-azahead-v1.0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabert_finetuned_s2d_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabert_finetuned_s2d_pipeline_en.md
new file mode 100644
index 00000000000000..8163888ab896fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabert_finetuned_s2d_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_arabert_finetuned_s2d_pipeline pipeline BertForSequenceClassification from IsmailRabii
+author: John Snow Labs
+name: bert_base_arabert_finetuned_s2d_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_arabert_finetuned_s2d_pipeline` is a English model originally trained by IsmailRabii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabert_finetuned_s2d_pipeline_en_5.5.0_3.0_1727355865186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabert_finetuned_s2d_pipeline_en_5.5.0_3.0_1727355865186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_arabert_finetuned_s2d_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_arabert_finetuned_s2d_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabert_finetuned_s2d_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|506.9 MB|
+
+## References
+
+https://huggingface.co/IsmailRabii/bert-base-arabert-finetuned-S2D
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabertv2_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabertv2_1_pipeline_en.md
new file mode 100644
index 00000000000000..0ba0face8047f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabertv2_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_arabertv2_1_pipeline pipeline BertForSequenceClassification from elsayedissa
+author: John Snow Labs
+name: bert_base_arabertv2_1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_arabertv2_1_pipeline` is a English model originally trained by elsayedissa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabertv2_1_pipeline_en_5.5.0_3.0_1727346294106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabertv2_1_pipeline_en_5.5.0_3.0_1727346294106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_arabertv2_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_arabertv2_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabertv2_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.1 MB|
+
+## References
+
+https://huggingface.co/elsayedissa/bert-base-arabertv2_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabic_camelbert_catalan_tydi_pairs_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabic_camelbert_catalan_tydi_pairs_en.md
new file mode 100644
index 00000000000000..6216dd4cc08f7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabic_camelbert_catalan_tydi_pairs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_arabic_camelbert_catalan_tydi_pairs BertForSequenceClassification from MatMulMan
+author: John Snow Labs
+name: bert_base_arabic_camelbert_catalan_tydi_pairs
+date: 2024-09-26
+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_camelbert_catalan_tydi_pairs` is a English model originally trained by MatMulMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabic_camelbert_catalan_tydi_pairs_en_5.5.0_3.0_1727315783417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabic_camelbert_catalan_tydi_pairs_en_5.5.0_3.0_1727315783417.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_arabic_camelbert_catalan_tydi_pairs|
+|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/MatMulMan/bert-base-arabic-camelbert-ca-tydi-pairs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabic_electra_xnli_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabic_electra_xnli_finetuned_en.md
new file mode 100644
index 00000000000000..bc3ed393ca12b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabic_electra_xnli_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_arabic_electra_xnli_finetuned BertForSequenceClassification from SarahAdnan
+author: John Snow Labs
+name: bert_base_arabic_electra_xnli_finetuned
+date: 2024-09-26
+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_electra_xnli_finetuned` is a English model originally trained by SarahAdnan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabic_electra_xnli_finetuned_en_5.5.0_3.0_1727347710744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabic_electra_xnli_finetuned_en_5.5.0_3.0_1727347710744.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_arabic_electra_xnli_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|506.5 MB|
+
+## References
+
+https://huggingface.co/SarahAdnan/bert-base-arabic-electra-xnli-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabic_electra_xnli_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabic_electra_xnli_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..49a2e3e2ac5d03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabic_electra_xnli_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_arabic_electra_xnli_finetuned_pipeline pipeline BertForSequenceClassification from SarahAdnan
+author: John Snow Labs
+name: bert_base_arabic_electra_xnli_finetuned_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_arabic_electra_xnli_finetuned_pipeline` is a English model originally trained by SarahAdnan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabic_electra_xnli_finetuned_pipeline_en_5.5.0_3.0_1727347737494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabic_electra_xnli_finetuned_pipeline_en_5.5.0_3.0_1727347737494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_arabic_electra_xnli_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_arabic_electra_xnli_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_arabic_electra_xnli_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|506.5 MB|
+
+## References
+
+https://huggingface.co/SarahAdnan/bert-base-arabic-electra-xnli-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabicbert_xnli_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabicbert_xnli_finetuned_en.md
new file mode 100644
index 00000000000000..458d6b362e6f70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_arabicbert_xnli_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_arabicbert_xnli_finetuned BertForSequenceClassification from SarahAdnan
+author: John Snow Labs
+name: bert_base_arabicbert_xnli_finetuned
+date: 2024-09-26
+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_arabicbert_xnli_finetuned` is a English model originally trained by SarahAdnan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabicbert_xnli_finetuned_en_5.5.0_3.0_1727316538367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabicbert_xnli_finetuned_en_5.5.0_3.0_1727316538367.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_arabicbert_xnli_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.2 MB|
+
+## References
+
+https://huggingface.co/SarahAdnan/bert-base-arabicBERT-xnli-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_ahmadalsharef994_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_ahmadalsharef994_en.md
new file mode 100644
index 00000000000000..ff21b750d0eb94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_ahmadalsharef994_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_ahmadalsharef994 BertForSequenceClassification from ahmadalsharef994
+author: John Snow Labs
+name: bert_base_banking77_pt2_ahmadalsharef994
+date: 2024-09-26
+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_banking77_pt2_ahmadalsharef994` is a English model originally trained by ahmadalsharef994.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_ahmadalsharef994_en_5.5.0_3.0_1727351168853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_ahmadalsharef994_en_5.5.0_3.0_1727351168853.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_banking77_pt2_ahmadalsharef994|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/ahmadalsharef994/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_liu_xiang_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_liu_xiang_en.md
new file mode 100644
index 00000000000000..6df4be847e5c00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_liu_xiang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_liu_xiang BertForSequenceClassification from Liu-Xiang
+author: John Snow Labs
+name: bert_base_banking77_pt2_liu_xiang
+date: 2024-09-26
+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_banking77_pt2_liu_xiang` is a English model originally trained by Liu-Xiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_liu_xiang_en_5.5.0_3.0_1727342134440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_liu_xiang_en_5.5.0_3.0_1727342134440.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_banking77_pt2_liu_xiang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Liu-Xiang/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_liu_xiang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_liu_xiang_pipeline_en.md
new file mode 100644
index 00000000000000..7e4fde083304d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_liu_xiang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_liu_xiang_pipeline pipeline BertForSequenceClassification from Liu-Xiang
+author: John Snow Labs
+name: bert_base_banking77_pt2_liu_xiang_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_liu_xiang_pipeline` is a English model originally trained by Liu-Xiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_liu_xiang_pipeline_en_5.5.0_3.0_1727342160802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_liu_xiang_pipeline_en_5.5.0_3.0_1727342160802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_liu_xiang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_liu_xiang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_liu_xiang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Liu-Xiang/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline_en.md
new file mode 100644
index 00000000000000..11537dfad33ab0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline pipeline BertForSequenceClassification from psj0919
+author: John Snow Labs
+name: bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline` is a English model originally trained by psj0919.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline_en_5.5.0_3.0_1727338320710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline_en_5.5.0_3.0_1727338320710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_model_bertforsequenceclassification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/psj0919/bert-base-banking77-pt2_model_BertForSequenceClassification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_nakker_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_nakker_pipeline_en.md
new file mode 100644
index 00000000000000..3ee29e60d8b943
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_nakker_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_nakker_pipeline pipeline BertForSequenceClassification from nakker
+author: John Snow Labs
+name: bert_base_banking77_pt2_nakker_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_nakker_pipeline` is a English model originally trained by nakker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_nakker_pipeline_en_5.5.0_3.0_1727348109172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_nakker_pipeline_en_5.5.0_3.0_1727348109172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_nakker_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_nakker_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_nakker_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/nakker/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_nullzero_live_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_nullzero_live_pipeline_en.md
new file mode 100644
index 00000000000000..2887cc5c05d640
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_nullzero_live_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_nullzero_live_pipeline pipeline BertForSequenceClassification from nullzero-live
+author: John Snow Labs
+name: bert_base_banking77_pt2_nullzero_live_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_nullzero_live_pipeline` is a English model originally trained by nullzero-live.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_nullzero_live_pipeline_en_5.5.0_3.0_1727350749359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_nullzero_live_pipeline_en_5.5.0_3.0_1727350749359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_nullzero_live_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_nullzero_live_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_nullzero_live_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/nullzero-live/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_sajjadamjad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_sajjadamjad_pipeline_en.md
new file mode 100644
index 00000000000000..e65c0ead439756
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_pt2_sajjadamjad_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_sajjadamjad_pipeline pipeline BertForSequenceClassification from sajjadamjad
+author: John Snow Labs
+name: bert_base_banking77_pt2_sajjadamjad_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_sajjadamjad_pipeline` is a English model originally trained by sajjadamjad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_sajjadamjad_pipeline_en_5.5.0_3.0_1727339690975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_sajjadamjad_pipeline_en_5.5.0_3.0_1727339690975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_sajjadamjad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_sajjadamjad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_sajjadamjad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/sajjadamjad/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_t2_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_t2_en.md
new file mode 100644
index 00000000000000..2a0d384117c188
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_t2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_banking77_t2 BertForSequenceClassification from YUCHUL
+author: John Snow Labs
+name: bert_base_banking77_t2
+date: 2024-09-26
+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_banking77_t2` is a English model originally trained by YUCHUL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_t2_en_5.5.0_3.0_1727310643489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_t2_en_5.5.0_3.0_1727310643489.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_banking77_t2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/YUCHUL/bert-base-banking77-t2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_t2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_t2_pipeline_en.md
new file mode 100644
index 00000000000000..3b535e3e69c92c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_banking77_t2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_t2_pipeline pipeline BertForSequenceClassification from YUCHUL
+author: John Snow Labs
+name: bert_base_banking77_t2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_t2_pipeline` is a English model originally trained by YUCHUL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_t2_pipeline_en_5.5.0_3.0_1727310665675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_t2_pipeline_en_5.5.0_3.0_1727310665675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_t2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_t2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_t2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/YUCHUL/bert-base-banking77-t2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_5k_vul_hyp_exp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_5k_vul_hyp_exp_pipeline_en.md
new file mode 100644
index 00000000000000..92de1f48ad02b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_5k_vul_hyp_exp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_5k_vul_hyp_exp_pipeline pipeline BertForSequenceClassification from AbhishekkV19
+author: John Snow Labs
+name: bert_base_cased_5k_vul_hyp_exp_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_5k_vul_hyp_exp_pipeline` is a English model originally trained by AbhishekkV19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_5k_vul_hyp_exp_pipeline_en_5.5.0_3.0_1727352618828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_5k_vul_hyp_exp_pipeline_en_5.5.0_3.0_1727352618828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_5k_vul_hyp_exp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_5k_vul_hyp_exp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_5k_vul_hyp_exp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/AbhishekkV19/bert-base-cased-5k-vul-hyp-exp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_5kvul_10aug_3nsfw_10w_exp_10ep_s42_1_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_5kvul_10aug_3nsfw_10w_exp_10ep_s42_1_en.md
new file mode 100644
index 00000000000000..bedcb0a98aa267
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_5kvul_10aug_3nsfw_10w_exp_10ep_s42_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_5kvul_10aug_3nsfw_10w_exp_10ep_s42_1 BertForSequenceClassification from AbhishekkV19
+author: John Snow Labs
+name: bert_base_cased_5kvul_10aug_3nsfw_10w_exp_10ep_s42_1
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_5kvul_10aug_3nsfw_10w_exp_10ep_s42_1` is a English model originally trained by AbhishekkV19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_5kvul_10aug_3nsfw_10w_exp_10ep_s42_1_en_5.5.0_3.0_1727351611055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_5kvul_10aug_3nsfw_10w_exp_10ep_s42_1_en_5.5.0_3.0_1727351611055.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_5kvul_10aug_3nsfw_10w_exp_10ep_s42_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/AbhishekkV19/bert-base-cased-5kvul-10aug-3nsfw-10w-exp-10ep-s42-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_embed_mixup_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_embed_mixup_en.md
new file mode 100644
index 00000000000000..9027823b2d57d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_embed_mixup_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_embed_mixup BertForSequenceClassification from pa-shk
+author: John Snow Labs
+name: bert_base_cased_embed_mixup
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_embed_mixup` is a English model originally trained by pa-shk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_embed_mixup_en_5.5.0_3.0_1727344066300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_embed_mixup_en_5.5.0_3.0_1727344066300.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_embed_mixup|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/pa-shk/bert-base-cased-embed-mixup
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_english_sentweet_profane_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_english_sentweet_profane_en.md
new file mode 100644
index 00000000000000..703a0161444f1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_english_sentweet_profane_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_english_sentweet_profane BertForSequenceClassification from jayanta
+author: John Snow Labs
+name: bert_base_cased_english_sentweet_profane
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_english_sentweet_profane` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_profane_en_5.5.0_3.0_1727350245669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_profane_en_5.5.0_3.0_1727350245669.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_english_sentweet_profane|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/jayanta/bert-base-cased-english-sentweet-Profane
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_english_sentweet_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_english_sentweet_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..da189c5fc0e25d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_english_sentweet_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_english_sentweet_sentiment_pipeline pipeline BertForSequenceClassification from jayanta
+author: John Snow Labs
+name: bert_base_cased_english_sentweet_sentiment_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_english_sentweet_sentiment_pipeline` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_sentiment_pipeline_en_5.5.0_3.0_1727315205096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_sentiment_pipeline_en_5.5.0_3.0_1727315205096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_english_sentweet_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_english_sentweet_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_english_sentweet_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jayanta/bert-base-cased-english-sentweet-Sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_english_sentweet_targeted_insult_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_english_sentweet_targeted_insult_en.md
new file mode 100644
index 00000000000000..51854d64f3b1fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_english_sentweet_targeted_insult_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_english_sentweet_targeted_insult BertForSequenceClassification from jayanta
+author: John Snow Labs
+name: bert_base_cased_english_sentweet_targeted_insult
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_english_sentweet_targeted_insult` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_targeted_insult_en_5.5.0_3.0_1727315543106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_english_sentweet_targeted_insult_en_5.5.0_3.0_1727315543106.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_english_sentweet_targeted_insult|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/jayanta/bert-base-cased-english-sentweet-Targeted-Insult
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_1_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_1_en.md
new file mode 100644
index 00000000000000..4a0d0f111430e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_1 BertForSequenceClassification from sara-nabhani
+author: John Snow Labs
+name: bert_base_cased_finetuned_1
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_1` is a English model originally trained by sara-nabhani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_1_en_5.5.0_3.0_1727319832621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_1_en_5.5.0_3.0_1727319832621.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_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/sara-nabhani/bert-base-cased-finetuned-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_filtered_0609_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_filtered_0609_en.md
new file mode 100644
index 00000000000000..e4015a394693d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_filtered_0609_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_filtered_0609 BertForSequenceClassification from YeRyeongLee
+author: John Snow Labs
+name: bert_base_cased_finetuned_filtered_0609
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_filtered_0609` is a English model originally trained by YeRyeongLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_filtered_0609_en_5.5.0_3.0_1727321870060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_filtered_0609_en_5.5.0_3.0_1727321870060.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_filtered_0609|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/YeRyeongLee/bert-base-cased-finetuned-filtered-0609
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_pan24_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_pan24_en.md
new file mode 100644
index 00000000000000..103d9d28eb0278
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_pan24_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_pan24 BertForSequenceClassification from andricValdez
+author: John Snow Labs
+name: bert_base_cased_finetuned_pan24
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_pan24` is a English model originally trained by andricValdez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_pan24_en_5.5.0_3.0_1727347198201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_pan24_en_5.5.0_3.0_1727347198201.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_pan24|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/andricValdez/bert-base-cased-finetuned-pan24
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_qqp_zyl1024_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_qqp_zyl1024_en.md
new file mode 100644
index 00000000000000..534bfd47aca6ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_qqp_zyl1024_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_qqp_zyl1024 BertForSequenceClassification from zyl1024
+author: John Snow Labs
+name: bert_base_cased_finetuned_qqp_zyl1024
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_qqp_zyl1024` is a English model originally trained by zyl1024.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_qqp_zyl1024_en_5.5.0_3.0_1727323515599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_qqp_zyl1024_en_5.5.0_3.0_1727323515599.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_qqp_zyl1024|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/zyl1024/bert-base-cased-finetuned-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline_en.md
new file mode 100644
index 00000000000000..18e2c693784257
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline pipeline BertForSequenceClassification from zebans
+author: John Snow Labs
+name: bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline` is a English model originally trained by zebans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline_en_5.5.0_3.0_1727343896901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline_en_5.5.0_3.0_1727343896901.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_rotten_tomatoes_epochs_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_rotten_tomatoes_epochs_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/zebans/bert-base-cased-finetuned-rotten-tomatoes-epochs-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_teachermomentsconfusion_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_teachermomentsconfusion_pipeline_en.md
new file mode 100644
index 00000000000000..227308ef3fd7cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_finetuned_teachermomentsconfusion_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_teachermomentsconfusion_pipeline pipeline BertForSequenceClassification from Ruborobot
+author: John Snow Labs
+name: bert_base_cased_finetuned_teachermomentsconfusion_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_teachermomentsconfusion_pipeline` is a English model originally trained by Ruborobot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_teachermomentsconfusion_pipeline_en_5.5.0_3.0_1727319881232.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_teachermomentsconfusion_pipeline_en_5.5.0_3.0_1727319881232.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_teachermomentsconfusion_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_finetuned_teachermomentsconfusion_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_teachermomentsconfusion_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Ruborobot/bert-base-cased-finetuned-TeacherMomentsConfusion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_ft5_3ep_s42_exp1_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_ft5_3ep_s42_exp1_en.md
new file mode 100644
index 00000000000000..4e6e76965e4792
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_ft5_3ep_s42_exp1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_ft5_3ep_s42_exp1 BertForSequenceClassification from AbhishekkV19
+author: John Snow Labs
+name: bert_base_cased_ft5_3ep_s42_exp1
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_ft5_3ep_s42_exp1` is a English model originally trained by AbhishekkV19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_ft5_3ep_s42_exp1_en_5.5.0_3.0_1727322730156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_ft5_3ep_s42_exp1_en_5.5.0_3.0_1727322730156.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_ft5_3ep_s42_exp1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/AbhishekkV19/bert-base-cased-ft5-3ep-s42-exp1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_ft5_6ep_s42_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_ft5_6ep_s42_en.md
new file mode 100644
index 00000000000000..0d9ad92b9b821a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_ft5_6ep_s42_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_ft5_6ep_s42 BertForSequenceClassification from AbhishekkV19
+author: John Snow Labs
+name: bert_base_cased_ft5_6ep_s42
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_ft5_6ep_s42` is a English model originally trained by AbhishekkV19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_ft5_6ep_s42_en_5.5.0_3.0_1727353091301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_ft5_6ep_s42_en_5.5.0_3.0_1727353091301.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_ft5_6ep_s42|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/AbhishekkV19/bert-base-cased-ft5-6ep-s42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_greecewildfire_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_greecewildfire_en.md
new file mode 100644
index 00000000000000..531dca6c8700a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_greecewildfire_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_greecewildfire BertForSequenceClassification from rizvi-rahil786
+author: John Snow Labs
+name: bert_base_cased_greecewildfire
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_greecewildfire` is a English model originally trained by rizvi-rahil786.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_greecewildfire_en_5.5.0_3.0_1727319598522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_greecewildfire_en_5.5.0_3.0_1727319598522.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_greecewildfire|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/rizvi-rahil786/bert-base-cased-greeceWildfire
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_hardaderail_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_hardaderail_pipeline_en.md
new file mode 100644
index 00000000000000..6ec3da8d377590
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_hardaderail_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_hardaderail_pipeline pipeline BertForSequenceClassification from rizvi-rahil786
+author: John Snow Labs
+name: bert_base_cased_hardaderail_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_hardaderail_pipeline` is a English model originally trained by rizvi-rahil786.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_hardaderail_pipeline_en_5.5.0_3.0_1727350393358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_hardaderail_pipeline_en_5.5.0_3.0_1727350393358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_hardaderail_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_hardaderail_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_hardaderail_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/rizvi-rahil786/bert-base-cased-hardaDerail
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_lora_592k_snli_model1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_lora_592k_snli_model1_pipeline_en.md
new file mode 100644
index 00000000000000..721ae98947a0da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_lora_592k_snli_model1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_lora_592k_snli_model1_pipeline pipeline BertForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: bert_base_cased_lora_592k_snli_model1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_lora_592k_snli_model1_pipeline` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_lora_592k_snli_model1_pipeline_en_5.5.0_3.0_1727313794205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_lora_592k_snli_model1_pipeline_en_5.5.0_3.0_1727313794205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_lora_592k_snli_model1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_lora_592k_snli_model1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_lora_592k_snli_model1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/bert-base-cased-lora-592K-snli-model1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_mexicoquake_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_mexicoquake_pipeline_en.md
new file mode 100644
index 00000000000000..5eedb1c981f046
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_mexicoquake_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_mexicoquake_pipeline pipeline BertForSequenceClassification from rizvi-rahil786
+author: John Snow Labs
+name: bert_base_cased_mexicoquake_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_mexicoquake_pipeline` is a English model originally trained by rizvi-rahil786.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_mexicoquake_pipeline_en_5.5.0_3.0_1727347374661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_mexicoquake_pipeline_en_5.5.0_3.0_1727347374661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_mexicoquake_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_mexicoquake_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_mexicoquake_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/rizvi-rahil786/bert-base-cased-mexicoQuake
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_mnli_model10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_mnli_model10_pipeline_en.md
new file mode 100644
index 00000000000000..24ce1406362ef3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_mnli_model10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_mnli_model10_pipeline pipeline BertForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: bert_base_cased_mnli_model10_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_mnli_model10_pipeline` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_mnli_model10_pipeline_en_5.5.0_3.0_1727321921658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_mnli_model10_pipeline_en_5.5.0_3.0_1727321921658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_mnli_model10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_mnli_model10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_mnli_model10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/bert-base-cased-mnli-model10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_paraphrase_classification_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_paraphrase_classification_en.md
new file mode 100644
index 00000000000000..e54a2676a34c07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_paraphrase_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_paraphrase_classification BertForSequenceClassification from rushilJariwala
+author: John Snow Labs
+name: bert_base_cased_paraphrase_classification
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_paraphrase_classification` is a English model originally trained by rushilJariwala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_paraphrase_classification_en_5.5.0_3.0_1727317895681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_paraphrase_classification_en_5.5.0_3.0_1727317895681.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_paraphrase_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/rushilJariwala/bert-base-cased-paraphrase-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_snli_model4_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_snli_model4_en.md
new file mode 100644
index 00000000000000..9bb322569c99a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_snli_model4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_snli_model4 BertForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: bert_base_cased_snli_model4
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_snli_model4` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_snli_model4_en_5.5.0_3.0_1727345294451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_snli_model4_en_5.5.0_3.0_1727345294451.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_snli_model4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/bert-base-cased-snli-model4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_snli_model5_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_snli_model5_en.md
new file mode 100644
index 00000000000000..29c5d6c2614d87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_snli_model5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_snli_model5 BertForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: bert_base_cased_snli_model5
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_snli_model5` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_snli_model5_en_5.5.0_3.0_1727349987667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_snli_model5_en_5.5.0_3.0_1727349987667.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_snli_model5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/bert-base-cased-snli-model5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_xuehangcang_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_xuehangcang_en.md
new file mode 100644
index 00000000000000..8269e9b3ca9db7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_xuehangcang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_xuehangcang BertForSequenceClassification from XuehangCang
+author: John Snow Labs
+name: bert_base_cased_xuehangcang
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_xuehangcang` is a English model originally trained by XuehangCang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_xuehangcang_en_5.5.0_3.0_1727339171130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_xuehangcang_en_5.5.0_3.0_1727339171130.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_xuehangcang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/XuehangCang/bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_xuehangcang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_xuehangcang_pipeline_en.md
new file mode 100644
index 00000000000000..503537edc6bb9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_cased_xuehangcang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_xuehangcang_pipeline pipeline BertForSequenceClassification from XuehangCang
+author: John Snow Labs
+name: bert_base_cased_xuehangcang_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_xuehangcang_pipeline` is a English model originally trained by XuehangCang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_xuehangcang_pipeline_en_5.5.0_3.0_1727339192699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_xuehangcang_pipeline_en_5.5.0_3.0_1727339192699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_xuehangcang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_xuehangcang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_xuehangcang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/XuehangCang/bert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_accidentreason_classifier_zh.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_accidentreason_classifier_zh.md
new file mode 100644
index 00000000000000..c3a74e3500f290
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_accidentreason_classifier_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese bert_base_chinese_accidentreason_classifier BertForSequenceClassification from posie
+author: John Snow Labs
+name: bert_base_chinese_accidentreason_classifier
+date: 2024-09-26
+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.`bert_base_chinese_accidentreason_classifier` is a Chinese model originally trained by posie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_accidentreason_classifier_zh_5.5.0_3.0_1727369473802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_accidentreason_classifier_zh_5.5.0_3.0_1727369473802.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_chinese_accidentreason_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|382.5 MB|
+
+## References
+
+https://huggingface.co/posie/bert-base-chinese-accidentreason-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_baidu_fintune_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_baidu_fintune_pipeline_en.md
new file mode 100644
index 00000000000000..dbfae8b637baf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_baidu_fintune_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_chinese_baidu_fintune_pipeline pipeline BertForSequenceClassification from rylai88
+author: John Snow Labs
+name: bert_base_chinese_baidu_fintune_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_chinese_baidu_fintune_pipeline` is a English model originally trained by rylai88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_baidu_fintune_pipeline_en_5.5.0_3.0_1727344667637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_baidu_fintune_pipeline_en_5.5.0_3.0_1727344667637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_baidu_fintune_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_baidu_fintune_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_baidu_fintune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/rylai88/bert_base_chinese_baidu_fintune
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_v4_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_v4_en.md
new file mode 100644
index 00000000000000..d6b32d515e949f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_v4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese_climate_related_prediction_v4 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_related_prediction_v4
+date: 2024-09-26
+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_chinese_climate_related_prediction_v4` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_related_prediction_v4_en_5.5.0_3.0_1727317766019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_related_prediction_v4_en_5.5.0_3.0_1727317766019.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_chinese_climate_related_prediction_v4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-climate-related-prediction-v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_v4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_v4_pipeline_en.md
new file mode 100644
index 00000000000000..b28741bcb94393
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_v4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_chinese_climate_related_prediction_v4_pipeline pipeline BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_related_prediction_v4_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_chinese_climate_related_prediction_v4_pipeline` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_related_prediction_v4_pipeline_en_5.5.0_3.0_1727317785925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_related_prediction_v4_pipeline_en_5.5.0_3.0_1727317785925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_climate_related_prediction_v4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_climate_related_prediction_v4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_climate_related_prediction_v4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-climate-related-prediction-v4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_v6_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_v6_en.md
new file mode 100644
index 00000000000000..5347bb5c597443
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_v6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese_climate_related_prediction_v6 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_related_prediction_v6
+date: 2024-09-26
+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_chinese_climate_related_prediction_v6` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_related_prediction_v6_en_5.5.0_3.0_1727311668128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_related_prediction_v6_en_5.5.0_3.0_1727311668128.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_chinese_climate_related_prediction_v6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-climate-related-prediction-v6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_vv3_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_vv3_en.md
new file mode 100644
index 00000000000000..755d5e6adeb314
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_related_prediction_vv3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese_climate_related_prediction_vv3 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_related_prediction_vv3
+date: 2024-09-26
+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_chinese_climate_related_prediction_vv3` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_related_prediction_vv3_en_5.5.0_3.0_1727349202082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_related_prediction_vv3_en_5.5.0_3.0_1727349202082.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_chinese_climate_related_prediction_vv3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-climate-related-prediction-vv3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_risk_opportunity_prediction_vv4_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_risk_opportunity_prediction_vv4_en.md
new file mode 100644
index 00000000000000..e6b694fff3c08e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_risk_opportunity_prediction_vv4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese_climate_risk_opportunity_prediction_vv4 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_risk_opportunity_prediction_vv4
+date: 2024-09-26
+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_chinese_climate_risk_opportunity_prediction_vv4` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_risk_opportunity_prediction_vv4_en_5.5.0_3.0_1727353090424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_risk_opportunity_prediction_vv4_en_5.5.0_3.0_1727353090424.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_chinese_climate_risk_opportunity_prediction_vv4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-climate-risk-opportunity-prediction-vv4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline_en.md
new file mode 100644
index 00000000000000..563794d9ee29c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline pipeline BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_chinese_climate_risk_opportunity_prediction_vv4_pipeline` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline_en_5.5.0_3.0_1727353120057.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline_en_5.5.0_3.0_1727353120057.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-climate-risk-opportunity-prediction-vv4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_transition_physical_risk_prediction_6_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_transition_physical_risk_prediction_6_en.md
new file mode 100644
index 00000000000000..d98d7aae836d63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_transition_physical_risk_prediction_6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese_climate_transition_physical_risk_prediction_6 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_transition_physical_risk_prediction_6
+date: 2024-09-26
+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_chinese_climate_transition_physical_risk_prediction_6` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_transition_physical_risk_prediction_6_en_5.5.0_3.0_1727354602016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_transition_physical_risk_prediction_6_en_5.5.0_3.0_1727354602016.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_chinese_climate_transition_physical_risk_prediction_6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-climate-transition-physical-risk-prediction-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline_en.md
new file mode 100644
index 00000000000000..489fa01526f051
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline pipeline BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_chinese_climate_transition_physical_risk_prediction_6_pipeline` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline_en_5.5.0_3.0_1727354620924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline_en_5.5.0_3.0_1727354620924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_climate_transition_physical_risk_prediction_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-climate-transition-physical-risk-prediction-6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_en.md
new file mode 100644
index 00000000000000..c0b95f8b0b4135
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese BertForSequenceClassification from watsonpro
+author: John Snow Labs
+name: bert_base_chinese
+date: 2024-09-26
+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_chinese` is a English model originally trained by watsonpro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_en_5.5.0_3.0_1727356554191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_en_5.5.0_3.0_1727356554191.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_chinese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|39.8 MB|
+
+## References
+
+https://huggingface.co/watsonpro/bert-base-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_finetuned_intent_recognition_biomedical_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_finetuned_intent_recognition_biomedical_en.md
new file mode 100644
index 00000000000000..0a999b753455e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_finetuned_intent_recognition_biomedical_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_intent_recognition_biomedical BertForSequenceClassification from nlp-guild
+author: John Snow Labs
+name: bert_base_chinese_finetuned_intent_recognition_biomedical
+date: 2024-09-26
+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_chinese_finetuned_intent_recognition_biomedical` is a English model originally trained by nlp-guild.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_intent_recognition_biomedical_en_5.5.0_3.0_1727365704529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_intent_recognition_biomedical_en_5.5.0_3.0_1727365704529.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_chinese_finetuning_wallstreetcn_morning_news_vix_sz50_v1|
+|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/hw2942/bert-base-chinese-finetuning-wallstreetcn-morning-news-vix-sz50-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_pipeline_en.md
new file mode 100644
index 00000000000000..5cf5ed0b02cf85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_chinese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_chinese_pipeline pipeline BertForSequenceClassification from watsonpro
+author: John Snow Labs
+name: bert_base_chinese_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_chinese_pipeline` is a English model originally trained by watsonpro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_pipeline_en_5.5.0_3.0_1727356556708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_pipeline_en_5.5.0_3.0_1727356556708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_chinese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_chinese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|39.8 MB|
+
+## References
+
+https://huggingface.co/watsonpro/bert-base-chinese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_climate_fever_fixed_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_climate_fever_fixed_en.md
new file mode 100644
index 00000000000000..53152fa198ffc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_climate_fever_fixed_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_climate_fever_fixed BertForSequenceClassification from rexarski
+author: John Snow Labs
+name: bert_base_climate_fever_fixed
+date: 2024-09-26
+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_climate_fever_fixed` is a English model originally trained by rexarski.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_climate_fever_fixed_en_5.5.0_3.0_1727325877674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_climate_fever_fixed_en_5.5.0_3.0_1727325877674.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_climate_fever_fixed|
+|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/rexarski/bert-base-climate-fever-fixed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_climate_fever_fixed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_climate_fever_fixed_pipeline_en.md
new file mode 100644
index 00000000000000..2dc3240621d15d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_climate_fever_fixed_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_climate_fever_fixed_pipeline pipeline BertForSequenceClassification from rexarski
+author: John Snow Labs
+name: bert_base_climate_fever_fixed_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_climate_fever_fixed_pipeline` is a English model originally trained by rexarski.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_climate_fever_fixed_pipeline_en_5.5.0_3.0_1727325899446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_climate_fever_fixed_pipeline_en_5.5.0_3.0_1727325899446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_climate_fever_fixed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_climate_fever_fixed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_climate_fever_fixed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rexarski/bert-base-climate-fever-fixed
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_daichi_support_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_daichi_support_pipeline_en.md
new file mode 100644
index 00000000000000..9015bf139ae8a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_daichi_support_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_daichi_support_pipeline pipeline BertForSequenceClassification from DonMakar
+author: John Snow Labs
+name: bert_base_daichi_support_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_daichi_support_pipeline` is a English model originally trained by DonMakar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_daichi_support_pipeline_en_5.5.0_3.0_1727346222371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_daichi_support_pipeline_en_5.5.0_3.0_1727346222371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_daichi_support_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_daichi_support_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_daichi_support_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/DonMakar/bert-base-Daichi_support
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_emotion_24_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_emotion_24_en.md
new file mode 100644
index 00000000000000..50376ecbe6f045
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_emotion_24_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_emotion_24 BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_base_emotion_24
+date: 2024-09-26
+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_emotion_24` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_emotion_24_en_5.5.0_3.0_1727320608757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_emotion_24_en_5.5.0_3.0_1727320608757.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_emotion_24|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-base-emotion_24
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_emotion_24_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_emotion_24_pipeline_en.md
new file mode 100644
index 00000000000000..5a2fc263628568
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_emotion_24_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_emotion_24_pipeline pipeline BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_base_emotion_24_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_emotion_24_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_emotion_24_pipeline_en_5.5.0_3.0_1727320630397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_emotion_24_pipeline_en_5.5.0_3.0_1727320630397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_emotion_24_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_emotion_24_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_emotion_24_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-base-emotion_24
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_fine_tuned_text_classificarion_ds_dropout_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_fine_tuned_text_classificarion_ds_dropout_en.md
new file mode 100644
index 00000000000000..4d657f58c90bee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_fine_tuned_text_classificarion_ds_dropout_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_fine_tuned_text_classificarion_ds_dropout BertForSequenceClassification from Sleoruiz
+author: John Snow Labs
+name: bert_base_fine_tuned_text_classificarion_ds_dropout
+date: 2024-09-26
+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_fine_tuned_text_classificarion_ds_dropout` is a English model originally trained by Sleoruiz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_fine_tuned_text_classificarion_ds_dropout_en_5.5.0_3.0_1727353881243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_fine_tuned_text_classificarion_ds_dropout_en_5.5.0_3.0_1727353881243.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_fine_tuned_text_classificarion_ds_dropout|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.4 MB|
+
+## References
+
+https://huggingface.co/Sleoruiz/bert-base-fine-tuned-text-classificarion-ds-dropout
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_en.md
new file mode 100644
index 00000000000000..b508509faad48f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_finetuned BertForSequenceClassification from kagented
+author: John Snow Labs
+name: bert_base_finetuned
+date: 2024-09-26
+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_finetuned` is a English model originally trained by kagented.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_en_5.5.0_3.0_1727319588133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_en_5.5.0_3.0_1727319588133.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_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|415.2 MB|
+
+## References
+
+https://huggingface.co/kagented/bert-base-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_lcqmc_chinese_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_lcqmc_chinese_pipeline_zh.md
new file mode 100644
index 00000000000000..78fcef7b966349
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_lcqmc_chinese_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese bert_base_finetuned_lcqmc_chinese_pipeline pipeline BertForSequenceClassification from WangA
+author: John Snow Labs
+name: bert_base_finetuned_lcqmc_chinese_pipeline
+date: 2024-09-26
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_lcqmc_chinese_pipeline` is a Chinese model originally trained by WangA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_lcqmc_chinese_pipeline_zh_5.5.0_3.0_1727353268948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_lcqmc_chinese_pipeline_zh_5.5.0_3.0_1727353268948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_finetuned_lcqmc_chinese_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_finetuned_lcqmc_chinese_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_lcqmc_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/WangA/bert-base-finetuned-lcqmc-chinese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_lcqmc_chinese_zh.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_lcqmc_chinese_zh.md
new file mode 100644
index 00000000000000..1f7a379aadfcb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_lcqmc_chinese_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese bert_base_finetuned_lcqmc_chinese BertForSequenceClassification from WangA
+author: John Snow Labs
+name: bert_base_finetuned_lcqmc_chinese
+date: 2024-09-26
+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.`bert_base_finetuned_lcqmc_chinese` is a Chinese model originally trained by WangA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_lcqmc_chinese_zh_5.5.0_3.0_1727353249448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_lcqmc_chinese_zh_5.5.0_3.0_1727353249448.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_finetuned_lcqmc_chinese|
+|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/WangA/bert-base-finetuned-lcqmc-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_cloudblack_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_cloudblack_en.md
new file mode 100644
index 00000000000000..64cac99297938d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_cloudblack_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_cloudblack BertForSequenceClassification from cloudblack
+author: John Snow Labs
+name: bert_base_finetuned_sts_cloudblack
+date: 2024-09-26
+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_finetuned_sts_cloudblack` is a English model originally trained by cloudblack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_cloudblack_en_5.5.0_3.0_1727346220226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_cloudblack_en_5.5.0_3.0_1727346220226.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_finetuned_sts_cloudblack|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/cloudblack/bert-base-finetuned-sts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_cloudblack_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_cloudblack_pipeline_en.md
new file mode 100644
index 00000000000000..d5a3f168e93957
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_cloudblack_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_cloudblack_pipeline pipeline BertForSequenceClassification from cloudblack
+author: John Snow Labs
+name: bert_base_finetuned_sts_cloudblack_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_finetuned_sts_cloudblack_pipeline` is a English model originally trained by cloudblack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_cloudblack_pipeline_en_5.5.0_3.0_1727346244818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_cloudblack_pipeline_en_5.5.0_3.0_1727346244818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_finetuned_sts_cloudblack_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_finetuned_sts_cloudblack_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_sts_cloudblack_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/cloudblack/bert-base-finetuned-sts
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_deprecated_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_deprecated_en.md
new file mode 100644
index 00000000000000..6c5c07bb502297
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_deprecated_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_deprecated BertForSequenceClassification from eliza-dukim
+author: John Snow Labs
+name: bert_base_finetuned_sts_deprecated
+date: 2024-09-26
+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_finetuned_sts_deprecated` is a English model originally trained by eliza-dukim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_deprecated_en_5.5.0_3.0_1727311983812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_deprecated_en_5.5.0_3.0_1727311983812.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_finetuned_sts_deprecated|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/eliza-dukim/bert-base-finetuned-sts-deprecated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_deprecated_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_deprecated_pipeline_en.md
new file mode 100644
index 00000000000000..43b1dcaa1ec27e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_deprecated_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_deprecated_pipeline pipeline BertForSequenceClassification from eliza-dukim
+author: John Snow Labs
+name: bert_base_finetuned_sts_deprecated_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_finetuned_sts_deprecated_pipeline` is a English model originally trained by eliza-dukim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_deprecated_pipeline_en_5.5.0_3.0_1727312008851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_deprecated_pipeline_en_5.5.0_3.0_1727312008851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_finetuned_sts_deprecated_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_finetuned_sts_deprecated_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_sts_deprecated_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/eliza-dukim/bert-base-finetuned-sts-deprecated
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_ezre_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_ezre_en.md
new file mode 100644
index 00000000000000..9c14c68d74e34d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_ezre_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_ezre BertForSequenceClassification from Ezre
+author: John Snow Labs
+name: bert_base_finetuned_sts_ezre
+date: 2024-09-26
+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_finetuned_sts_ezre` is a English model originally trained by Ezre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_ezre_en_5.5.0_3.0_1727355061443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_ezre_en_5.5.0_3.0_1727355061443.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_finetuned_sts_ezre|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/Ezre/bert-base-finetuned-sts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_ezre_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_ezre_pipeline_en.md
new file mode 100644
index 00000000000000..7ff64344345a51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_finetuned_sts_ezre_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_ezre_pipeline pipeline BertForSequenceClassification from Ezre
+author: John Snow Labs
+name: bert_base_finetuned_sts_ezre_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_finetuned_sts_ezre_pipeline` is a English model originally trained by Ezre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_ezre_pipeline_en_5.5.0_3.0_1727355085254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_ezre_pipeline_en_5.5.0_3.0_1727355085254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_finetuned_sts_ezre_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_finetuned_sts_ezre_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_sts_ezre_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/Ezre/bert-base-finetuned-sts
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_german_cased_hatespeech_germeval18_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_german_cased_hatespeech_germeval18_pipeline_en.md
new file mode 100644
index 00000000000000..5f617fc9d3b325
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_german_cased_hatespeech_germeval18_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_german_cased_hatespeech_germeval18_pipeline pipeline BertForSequenceClassification from CundK
+author: John Snow Labs
+name: bert_base_german_cased_hatespeech_germeval18_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_hatespeech_germeval18_pipeline` is a English model originally trained by CundK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_hatespeech_germeval18_pipeline_en_5.5.0_3.0_1727369847316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_hatespeech_germeval18_pipeline_en_5.5.0_3.0_1727369847316.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_hatespeech_germeval18_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_german_cased_hatespeech_germeval18_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_hatespeech_germeval18_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/CundK/bert-base-german-cased-hatespeech-GermEval18
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_aliiil02_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_aliiil02_en.md
new file mode 100644
index 00000000000000..9a1bee2ec38591
--- /dev/null
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@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_aliiil02 BertForSequenceClassification from aliiil02
+author: John Snow Labs
+name: bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_aliiil02
+date: 2024-09-26
+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_indonesian_1_5g_sentiment_analysis_smsa_tuning_aliiil02` is a English model originally trained by aliiil02.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_aliiil02_en_5.5.0_3.0_1727312193144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_aliiil02_en_5.5.0_3.0_1727312193144.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_indonesian_1_5g_sentiment_analysis_smsa_tuning_aliiil02|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/aliiil02/bert-base-indonesian-1.5G-sentiment-analysis-smsa-tuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline_en.md
new file mode 100644
index 00000000000000..9ea874f7c1f07b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline pipeline BertForSequenceClassification from rahmaabusalma
+author: John Snow Labs
+name: bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline` is a English model originally trained by rahmaabusalma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline_en_5.5.0_3.0_1727345183912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline_en_5.5.0_3.0_1727345183912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_indonesian_1_5g_sentiment_analysis_smsa_tuning_rahmaabusalma_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/rahmaabusalma/bert-base-indonesian-1.5G-sentiment-analysis-smsa-tuning
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_massive_intent_24_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_massive_intent_24_en.md
new file mode 100644
index 00000000000000..c994ca310f1ce9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_massive_intent_24_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_massive_intent_24 BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_base_massive_intent_24
+date: 2024-09-26
+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_massive_intent_24` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_24_en_5.5.0_3.0_1727318855186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_massive_intent_24_en_5.5.0_3.0_1727318855186.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_uncased_sentiment_run2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/gunkaynar/bert-base-multilingual-uncased-sentiment_run2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_multinli_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_multinli_en.md
new file mode 100644
index 00000000000000..8ae11c872033c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_multinli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_multinli BertForSequenceClassification from nouf-sst
+author: John Snow Labs
+name: bert_base_multinli
+date: 2024-09-26
+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_multinli` is a English model originally trained by nouf-sst.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multinli_en_5.5.0_3.0_1727336198812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multinli_en_5.5.0_3.0_1727336198812.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_multinli|
+|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/nouf-sst/bert-base-MultiNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_portuguese_cased_02_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_portuguese_cased_02_en.md
new file mode 100644
index 00000000000000..4ef60943e1ef82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_portuguese_cased_02_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_portuguese_cased_02 BertForSequenceClassification from TiagoSanti
+author: John Snow Labs
+name: bert_base_portuguese_cased_02
+date: 2024-09-26
+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_portuguese_cased_02` is a English model originally trained by TiagoSanti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_02_en_5.5.0_3.0_1727336305186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_02_en_5.5.0_3.0_1727336305186.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_portuguese_cased_assin_entailment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ruanchaves/bert-base-portuguese-cased-assin-entailment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_portuguese_cased_leandroaraujodev_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_portuguese_cased_leandroaraujodev_en.md
new file mode 100644
index 00000000000000..a2fe88bd0ce460
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_portuguese_cased_leandroaraujodev_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_portuguese_cased_leandroaraujodev BertForSequenceClassification from leandroaraujodev
+author: John Snow Labs
+name: bert_base_portuguese_cased_leandroaraujodev
+date: 2024-09-26
+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_portuguese_cased_leandroaraujodev` is a English model originally trained by leandroaraujodev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_leandroaraujodev_en_5.5.0_3.0_1727328338239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_leandroaraujodev_en_5.5.0_3.0_1727328338239.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_portuguese_cased_leandroaraujodev|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/leandroaraujodev/bert-base-portuguese-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_portuguese_cased_leandroaraujodev_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_portuguese_cased_leandroaraujodev_pipeline_en.md
new file mode 100644
index 00000000000000..7a48b35648e960
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_portuguese_cased_leandroaraujodev_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_portuguese_cased_leandroaraujodev_pipeline pipeline BertForSequenceClassification from leandroaraujodev
+author: John Snow Labs
+name: bert_base_portuguese_cased_leandroaraujodev_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_portuguese_cased_leandroaraujodev_pipeline` is a English model originally trained by leandroaraujodev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_leandroaraujodev_pipeline_en_5.5.0_3.0_1727328359061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_leandroaraujodev_pipeline_en_5.5.0_3.0_1727328359061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_portuguese_cased_leandroaraujodev_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_portuguese_cased_leandroaraujodev_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_leandroaraujodev_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/leandroaraujodev/bert-base-portuguese-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_sanskrit_saskta_tweets_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_sanskrit_saskta_tweets_en.md
new file mode 100644
index 00000000000000..ea8d6b12e7c7d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_sanskrit_saskta_tweets_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_sanskrit_saskta_tweets BertForSequenceClassification from ricardo-filho
+author: John Snow Labs
+name: bert_base_sanskrit_saskta_tweets
+date: 2024-09-26
+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_sanskrit_saskta_tweets` is a English model originally trained by ricardo-filho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_sanskrit_saskta_tweets_en_5.5.0_3.0_1727317285412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_sanskrit_saskta_tweets_en_5.5.0_3.0_1727317285412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_caresc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|411.8 MB|
+
+## References
+
+https://huggingface.co/IIC/bert-base-spanish-wwm-cased-caresC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline_en.md
new file mode 100644
index 00000000000000..8785fdadfe6484
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline pipeline BertForSequenceClassification from allman
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline` is a English model originally trained by allman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline_en_5.5.0_3.0_1727314045152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline_en_5.5.0_3.0_1727314045152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_finetuned_meia_analisisdesentimientos_allman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/allman/bert-base-spanish-wwm-cased-finetuned-MeIA-AnalisisDeSentimientos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline_en.md
new file mode 100644
index 00000000000000..b3684866887bc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline pipeline BertForSequenceClassification from Willy
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_spanish_wwm_cased_finetuned_nlp_ie_pipeline` is a English model originally trained by Willy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline_en_5.5.0_3.0_1727338926935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline_en_5.5.0_3.0_1727338926935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_finetuned_nlp_ie_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/Willy/bert-base-spanish-wwm-cased-finetuned-NLP-IE
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_k1_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_k1_en.md
new file mode 100644
index 00000000000000..a3112bc1a68a40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_k1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_cased_k1 BertForSequenceClassification from dtorber
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_k1
+date: 2024-09-26
+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_spanish_wwm_cased_k1` is a English model originally trained by dtorber.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_k1_en_5.5.0_3.0_1727349431440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_k1_en_5.5.0_3.0_1727349431440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_k1|
+|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/dtorber/bert-base-spanish-wwm-cased_K1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_k1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_k1_pipeline_en.md
new file mode 100644
index 00000000000000..d1e0958ab4c618
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_cased_k1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_cased_k1_pipeline pipeline BertForSequenceClassification from dtorber
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_k1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_spanish_wwm_cased_k1_pipeline` is a English model originally trained by dtorber.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_k1_pipeline_en_5.5.0_3.0_1727349457323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_k1_pipeline_en_5.5.0_3.0_1727349457323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_cased_k1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_cased_k1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_k1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/dtorber/bert-base-spanish-wwm-cased_K1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_en.md
new file mode 100644
index 00000000000000..c284ca2d88d33d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar BertForSequenceClassification from SandyDelMar
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar
+date: 2024-09-26
+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_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar` is a English model originally trained by SandyDelMar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_en_5.5.0_3.0_1727352342415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_en_5.5.0_3.0_1727352342415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/SandyDelMar/bert-base-spanish-wwm-uncased-finetuned-MeIA-AnalisisDeSentimientos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline_en.md
new file mode 100644
index 00000000000000..cd41744d2912d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline pipeline BertForSequenceClassification from SandyDelMar
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline` is a English model originally trained by SandyDelMar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline_en_5.5.0_3.0_1727352363906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline_en_5.5.0_3.0_1727352363906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/SandyDelMar/bert-base-spanish-wwm-uncased-finetuned-MeIA-AnalisisDeSentimientos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline_en.md
new file mode 100644
index 00000000000000..2093118cd82b2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline pipeline BertForSequenceClassification from ISA-Group
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_spanish_wwm_uncased_r_tag_0_3_pipeline` is a English model originally trained by ISA-Group.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline_en_5.5.0_3.0_1727348824982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline_en_5.5.0_3.0_1727348824982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/ISA-Group/bert-base-spanish-wwm-uncased_r-tag-0.3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_turkish_finetuned_nli_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_turkish_finetuned_nli_en.md
new file mode 100644
index 00000000000000..ef6ad5b7e63896
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_turkish_finetuned_nli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_turkish_finetuned_nli BertForSequenceClassification from aniltepe
+author: John Snow Labs
+name: bert_base_turkish_finetuned_nli
+date: 2024-09-26
+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_turkish_finetuned_nli` is a English model originally trained by aniltepe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_turkish_finetuned_nli_en_5.5.0_3.0_1727309893756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_turkish_finetuned_nli_en_5.5.0_3.0_1727309893756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_turkish_finetuned_nli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/aniltepe/bert-base-turkish-finetuned-nli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_turkish_finetuned_nli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_turkish_finetuned_nli_pipeline_en.md
new file mode 100644
index 00000000000000..cc6255b1c34cab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_turkish_finetuned_nli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_turkish_finetuned_nli_pipeline pipeline BertForSequenceClassification from aniltepe
+author: John Snow Labs
+name: bert_base_turkish_finetuned_nli_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_turkish_finetuned_nli_pipeline` is a English model originally trained by aniltepe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_turkish_finetuned_nli_pipeline_en_5.5.0_3.0_1727309929598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_turkish_finetuned_nli_pipeline_en_5.5.0_3.0_1727309929598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_turkish_finetuned_nli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_turkish_finetuned_nli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_turkish_finetuned_nli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/aniltepe/bert-base-turkish-finetuned-nli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_10k_vulgarity_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_10k_vulgarity_en.md
new file mode 100644
index 00000000000000..4e4aadeeb1945d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_10k_vulgarity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_10k_vulgarity BertForSequenceClassification from AbhishekkV19
+author: John Snow Labs
+name: bert_base_uncased_10k_vulgarity
+date: 2024-09-26
+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_10k_vulgarity` is a English model originally trained by AbhishekkV19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_10k_vulgarity_en_5.5.0_3.0_1727364625763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_10k_vulgarity_en_5.5.0_3.0_1727364625763.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_10k_vulgarity|
+|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/AbhishekkV19/bert-base-uncased-10k-vulgarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_10k_vulgarity_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_10k_vulgarity_pipeline_en.md
new file mode 100644
index 00000000000000..e4234e9a6c051f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_10k_vulgarity_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_10k_vulgarity_pipeline pipeline BertForSequenceClassification from AbhishekkV19
+author: John Snow Labs
+name: bert_base_uncased_10k_vulgarity_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_10k_vulgarity_pipeline` is a English model originally trained by AbhishekkV19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_10k_vulgarity_pipeline_en_5.5.0_3.0_1727364646961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_10k_vulgarity_pipeline_en_5.5.0_3.0_1727364646961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_10k_vulgarity_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_10k_vulgarity_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_10k_vulgarity_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/AbhishekkV19/bert-base-uncased-10k-vulgarity
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_ag_news_finetuned_2_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_ag_news_finetuned_2_en.md
new file mode 100644
index 00000000000000..a08d1c3ebe57a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_ag_news_finetuned_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_ag_news_finetuned_2 BertForSequenceClassification from odunola
+author: John Snow Labs
+name: bert_base_uncased_ag_news_finetuned_2
+date: 2024-09-26
+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_ag_news_finetuned_2` is a English model originally trained by odunola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ag_news_finetuned_2_en_5.5.0_3.0_1727366166248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ag_news_finetuned_2_en_5.5.0_3.0_1727366166248.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_ag_news_finetuned_2|
+|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/odunola/bert-base-uncased-ag-news-finetuned-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_agnews_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_agnews_en.md
new file mode 100644
index 00000000000000..12f70921bfcca5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_agnews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_agnews BertForSequenceClassification from tamhuynh27
+author: John Snow Labs
+name: bert_base_uncased_agnews
+date: 2024-09-26
+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_agnews` is a English model originally trained by tamhuynh27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_agnews_en_5.5.0_3.0_1727318780806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_agnews_en_5.5.0_3.0_1727318780806.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_agnews|
+|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/tamhuynh27/bert-base-uncased-agnews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_autext_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_autext_en.md
new file mode 100644
index 00000000000000..67af135c8382c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_autext_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_autext BertForSequenceClassification from jorgefg03
+author: John Snow Labs
+name: bert_base_uncased_autext
+date: 2024-09-26
+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_autext` is a English model originally trained by jorgefg03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_autext_en_5.5.0_3.0_1727314846763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_autext_en_5.5.0_3.0_1727314846763.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_autext|
+|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/jorgefg03/bert-base-uncased-autext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_autext_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_autext_pipeline_en.md
new file mode 100644
index 00000000000000..a79695347db9c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_autext_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_autext_pipeline pipeline BertForSequenceClassification from jorgefg03
+author: John Snow Labs
+name: bert_base_uncased_autext_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_autext_pipeline` is a English model originally trained by jorgefg03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_autext_pipeline_en_5.5.0_3.0_1727314868837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_autext_pipeline_en_5.5.0_3.0_1727314868837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_autext_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_autext_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_autext_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jorgefg03/bert-base-uncased-autext
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_boolq_howey_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_boolq_howey_en.md
new file mode 100644
index 00000000000000..1bf238d9df2f6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_boolq_howey_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_boolq_howey BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_boolq_howey
+date: 2024-09-26
+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_boolq_howey` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_boolq_howey_en_5.5.0_3.0_1727369814839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_boolq_howey_en_5.5.0_3.0_1727369814839.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_boolq_howey|
+|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/howey/bert-base-uncased-boolq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_boolq_howey_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_boolq_howey_pipeline_en.md
new file mode 100644
index 00000000000000..cb3189e45d895f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_boolq_howey_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_boolq_howey_pipeline pipeline BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_boolq_howey_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_boolq_howey_pipeline` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_boolq_howey_pipeline_en_5.5.0_3.0_1727369835935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_boolq_howey_pipeline_en_5.5.0_3.0_1727369835935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_boolq_howey_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_boolq_howey_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_boolq_howey_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/howey/bert-base-uncased-boolq
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline_en.md
new file mode 100644
index 00000000000000..5c5e1df77bcd5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline pipeline BertForSequenceClassification from prateeky2806
+author: John Snow Labs
+name: bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline` is a English model originally trained by prateeky2806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline_en_5.5.0_3.0_1727335035488.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline_en_5.5.0_3.0_1727335035488.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_cola_epochs_10_lr_5e_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/prateeky2806/bert-base-uncased-cola-epochs-10-lr-5e-05
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_cola_finetuned_cola_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_cola_finetuned_cola_en.md
new file mode 100644
index 00000000000000..c24538c9890e8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_cola_finetuned_cola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_cola_finetuned_cola BertForSequenceClassification from kapilchauhan
+author: John Snow Labs
+name: bert_base_uncased_cola_finetuned_cola
+date: 2024-09-26
+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_cola_finetuned_cola` is a English model originally trained by kapilchauhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_finetuned_cola_en_5.5.0_3.0_1727355679206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_finetuned_cola_en_5.5.0_3.0_1727355679206.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_cola_finetuned_cola|
+|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/kapilchauhan/bert-base-uncased-CoLA-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_cola_finetuned_cola_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_cola_finetuned_cola_pipeline_en.md
new file mode 100644
index 00000000000000..b8cb82742cce02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_cola_finetuned_cola_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_cola_finetuned_cola_pipeline pipeline BertForSequenceClassification from kapilchauhan
+author: John Snow Labs
+name: bert_base_uncased_cola_finetuned_cola_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_cola_finetuned_cola_pipeline` is a English model originally trained by kapilchauhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_finetuned_cola_pipeline_en_5.5.0_3.0_1727355703757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_finetuned_cola_pipeline_en_5.5.0_3.0_1727355703757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_cola_finetuned_cola_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_cola_finetuned_cola_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_cola_finetuned_cola_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/kapilchauhan/bert-base-uncased-CoLA-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_content_zeroshot_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_content_zeroshot_en.md
new file mode 100644
index 00000000000000..b554aefd923d3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_content_zeroshot_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_content_zeroshot BertForSequenceClassification from kaanakdeniz
+author: John Snow Labs
+name: bert_base_uncased_content_zeroshot
+date: 2024-09-26
+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_content_zeroshot` is a English model originally trained by kaanakdeniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_content_zeroshot_en_5.5.0_3.0_1727348677074.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_content_zeroshot_en_5.5.0_3.0_1727348677074.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_content_zeroshot|
+|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/kaanakdeniz/bert_base_uncased_content_zeroshot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_content_zeroshot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_content_zeroshot_pipeline_en.md
new file mode 100644
index 00000000000000..ebff6d6d268874
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_content_zeroshot_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_content_zeroshot_pipeline pipeline BertForSequenceClassification from kaanakdeniz
+author: John Snow Labs
+name: bert_base_uncased_content_zeroshot_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_content_zeroshot_pipeline` is a English model originally trained by kaanakdeniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_content_zeroshot_pipeline_en_5.5.0_3.0_1727348698654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_content_zeroshot_pipeline_en_5.5.0_3.0_1727348698654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_content_zeroshot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_content_zeroshot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_content_zeroshot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/kaanakdeniz/bert_base_uncased_content_zeroshot
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_detect_depression_stage_one_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_detect_depression_stage_one_en.md
new file mode 100644
index 00000000000000..041a498f7e6633
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_detect_depression_stage_one_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_detect_depression_stage_one BertForSequenceClassification from hoanghoavienvo
+author: John Snow Labs
+name: bert_base_uncased_detect_depression_stage_one
+date: 2024-09-26
+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_detect_depression_stage_one` is a English model originally trained by hoanghoavienvo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_detect_depression_stage_one_en_5.5.0_3.0_1727321376493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_detect_depression_stage_one_en_5.5.0_3.0_1727321376493.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_detect_depression_stage_one|
+|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/hoanghoavienvo/bert-base-uncased-detect-depression-stage-one
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_dstc10_knowledge_cluster_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_dstc10_knowledge_cluster_classifier_en.md
new file mode 100644
index 00000000000000..11d1674c3739f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_dstc10_knowledge_cluster_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_dstc10_knowledge_cluster_classifier BertForSequenceClassification from wilsontam
+author: John Snow Labs
+name: bert_base_uncased_dstc10_knowledge_cluster_classifier
+date: 2024-09-26
+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_dstc10_knowledge_cluster_classifier` is a English model originally trained by wilsontam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dstc10_knowledge_cluster_classifier_en_5.5.0_3.0_1727325942451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dstc10_knowledge_cluster_classifier_en_5.5.0_3.0_1727325942451.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_dstc10_knowledge_cluster_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.5 MB|
+
+## References
+
+https://huggingface.co/wilsontam/bert-base-uncased-dstc10-knowledge-cluster-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_dummy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_dummy_pipeline_en.md
new file mode 100644
index 00000000000000..e0c2f195b5234f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_dummy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_dummy_pipeline pipeline BertForSequenceClassification from stefanbschneider
+author: John Snow Labs
+name: bert_base_uncased_dummy_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_dummy_pipeline` is a English model originally trained by stefanbschneider.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dummy_pipeline_en_5.5.0_3.0_1727346950455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dummy_pipeline_en_5.5.0_3.0_1727346950455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_dummy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_dummy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_dummy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/stefanbschneider/bert-base-uncased-dummy
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_emotion_mooncrescent_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_emotion_mooncrescent_en.md
new file mode 100644
index 00000000000000..7204a4668f29b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_emotion_mooncrescent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_emotion_mooncrescent BertForSequenceClassification from MoonCrescent
+author: John Snow Labs
+name: bert_base_uncased_emotion_mooncrescent
+date: 2024-09-26
+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_emotion_mooncrescent` is a English model originally trained by MoonCrescent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_mooncrescent_en_5.5.0_3.0_1727338421404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_mooncrescent_en_5.5.0_3.0_1727338421404.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_eurlex|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+References
+
+References
+
+https://huggingface.co/nlpaueb/bert-base-uncased-eurlex
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_eurlex_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_eurlex_pipeline_en.md
new file mode 100644
index 00000000000000..29fc24eb53b416
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_eurlex_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_eurlex_pipeline pipeline BertForSequenceClassification from Kamer
+author: John Snow Labs
+name: bert_base_uncased_eurlex_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_eurlex_pipeline` is a English model originally trained by Kamer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_eurlex_pipeline_en_5.5.0_3.0_1727338423157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_eurlex_pipeline_en_5.5.0_3.0_1727338423157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_eurlex_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_eurlex_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_eurlex_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kamer/bert-base-uncased-eurlex
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fake_news_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fake_news_classification_pipeline_en.md
new file mode 100644
index 00000000000000..7de81ff2d8cfbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fake_news_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_fake_news_classification_pipeline pipeline BertForSequenceClassification from MScDS2023
+author: John Snow Labs
+name: bert_base_uncased_fake_news_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_fake_news_classification_pipeline` is a English model originally trained by MScDS2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fake_news_classification_pipeline_en_5.5.0_3.0_1727347884734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fake_news_classification_pipeline_en_5.5.0_3.0_1727347884734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_fake_news_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_fake_news_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_fake_news_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MScDS2023/bert-base-uncased-fake-news-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fever_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fever_en.md
new file mode 100644
index 00000000000000..83d4478cb09c1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fever_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_fever BertForSequenceClassification from sagnikrayc
+author: John Snow Labs
+name: bert_base_uncased_fever
+date: 2024-09-26
+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_fever` is a English model originally trained by sagnikrayc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fever_en_5.5.0_3.0_1727349432547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fever_en_5.5.0_3.0_1727349432547.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_fever|
+|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/sagnikrayc/bert-base-uncased-fever
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fine_tuned_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fine_tuned_en.md
new file mode 100644
index 00000000000000..bc0c7f5dd0c2e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fine_tuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_fine_tuned BertForSequenceClassification from Lecs
+author: John Snow Labs
+name: bert_base_uncased_fine_tuned
+date: 2024-09-26
+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_fine_tuned` is a English model originally trained by Lecs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fine_tuned_en_5.5.0_3.0_1727311658780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fine_tuned_en_5.5.0_3.0_1727311658780.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_fine_tuned|
+|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/Lecs/bert-base-uncased-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fine_tuned_parler_data_norwegian_bart_norwegian_t5_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fine_tuned_parler_data_norwegian_bart_norwegian_t5_en.md
new file mode 100644
index 00000000000000..7a127a25a2241a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fine_tuned_parler_data_norwegian_bart_norwegian_t5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_fine_tuned_parler_data_norwegian_bart_norwegian_t5 BertForSequenceClassification from adutlersaar
+author: John Snow Labs
+name: bert_base_uncased_fine_tuned_parler_data_norwegian_bart_norwegian_t5
+date: 2024-09-26
+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_fine_tuned_parler_data_norwegian_bart_norwegian_t5` is a English model originally trained by adutlersaar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fine_tuned_parler_data_norwegian_bart_norwegian_t5_en_5.5.0_3.0_1727349802636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fine_tuned_parler_data_norwegian_bart_norwegian_t5_en_5.5.0_3.0_1727349802636.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_fine_tuned_parler_data_norwegian_bart_norwegian_t5|
+|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/adutlersaar/bert-base-uncased-fine-tuned-parler_data-no_bart-no_t5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fine_tuned_parler_data_with_bart_with_t5_norwegian_bpe_adv_trained_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fine_tuned_parler_data_with_bart_with_t5_norwegian_bpe_adv_trained_en.md
new file mode 100644
index 00000000000000..813d782379b586
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_fine_tuned_parler_data_with_bart_with_t5_norwegian_bpe_adv_trained_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_fine_tuned_parler_data_with_bart_with_t5_norwegian_bpe_adv_trained BertForSequenceClassification from adutlersaar
+author: John Snow Labs
+name: bert_base_uncased_fine_tuned_parler_data_with_bart_with_t5_norwegian_bpe_adv_trained
+date: 2024-09-26
+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_fine_tuned_parler_data_with_bart_with_t5_norwegian_bpe_adv_trained` is a English model originally trained by adutlersaar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fine_tuned_parler_data_with_bart_with_t5_norwegian_bpe_adv_trained_en_5.5.0_3.0_1727320308338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_fine_tuned_parler_data_with_bart_with_t5_norwegian_bpe_adv_trained_en_5.5.0_3.0_1727320308338.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_fine_tuned_parler_data_with_bart_with_t5_norwegian_bpe_adv_trained|
+|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/adutlersaar/bert-base-uncased-fine-tuned-parler_data-with_bart-with_t5-no_bpe-adv-trained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline_en.md
new file mode 100644
index 00000000000000..1b3f7c172fde70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline pipeline BertForSequenceClassification from liangyuant
+author: John Snow Labs
+name: bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline` is a English model originally trained by liangyuant.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline_en_5.5.0_3.0_1727350804885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline_en_5.5.0_3.0_1727350804885.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_10epoch_num200_450_405cls_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_10epoch_num200_450_405cls_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.6 MB|
+
+## References
+
+https://huggingface.co/liangyuant/bert-base-uncased-finetuned-10epoch-num200-450-405cls
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_argument_detection_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_argument_detection_en.md
new file mode 100644
index 00000000000000..8b0cc863f795a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_argument_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_argument_detection BertForSequenceClassification from vzty
+author: John Snow Labs
+name: bert_base_uncased_finetuned_argument_detection
+date: 2024-09-26
+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_finetuned_argument_detection` is a English model originally trained by vzty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_argument_detection_en_5.5.0_3.0_1727350095507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_argument_detection_en_5.5.0_3.0_1727350095507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_argument_detection|
+|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/vzty/bert-base-uncased-finetuned-argument-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_clef_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_clef_pipeline_en.md
new file mode 100644
index 00000000000000..b43a739931bae5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_clef_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_clef_pipeline pipeline BertForSequenceClassification from lmajer
+author: John Snow Labs
+name: bert_base_uncased_finetuned_clef_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_clef_pipeline` is a English model originally trained by lmajer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clef_pipeline_en_5.5.0_3.0_1727352799390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clef_pipeline_en_5.5.0_3.0_1727352799390.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_clef_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_clef_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_clef_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/lmajer/bert-base-uncased-finetuned-CLEF
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_clinc_oos_nickapch_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_clinc_oos_nickapch_en.md
new file mode 100644
index 00000000000000..6c5d17b0cdde2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_clinc_oos_nickapch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_clinc_oos_nickapch BertForSequenceClassification from nickapch
+author: John Snow Labs
+name: bert_base_uncased_finetuned_clinc_oos_nickapch
+date: 2024-09-26
+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_finetuned_clinc_oos_nickapch` is a English model originally trained by nickapch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_nickapch_en_5.5.0_3.0_1727332458268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_clinc_oos_nickapch_en_5.5.0_3.0_1727332458268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_clinc_oos_nickapch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/nickapch/bert-base-uncased-finetuned-clinc_oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_alemdarberk_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_alemdarberk_en.md
new file mode 100644
index 00000000000000..69ee37f3d19d24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_alemdarberk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_alemdarberk BertForSequenceClassification from alemdarberk
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_alemdarberk
+date: 2024-09-26
+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_finetuned_cola_alemdarberk` is a English model originally trained by alemdarberk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_alemdarberk_en_5.5.0_3.0_1727320955188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_alemdarberk_en_5.5.0_3.0_1727320955188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_alemdarberk|
+|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/alemdarberk/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ayouta300_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ayouta300_en.md
new file mode 100644
index 00000000000000..e8d6ce6d059a5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ayouta300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_ayouta300 BertForSequenceClassification from Ayouta300
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_ayouta300
+date: 2024-09-26
+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_finetuned_cola_ayouta300` is a English model originally trained by Ayouta300.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ayouta300_en_5.5.0_3.0_1727320765345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ayouta300_en_5.5.0_3.0_1727320765345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_ayouta300|
+|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/Ayouta300/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ayouta300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ayouta300_pipeline_en.md
new file mode 100644
index 00000000000000..6a4f53aaec29c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ayouta300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_ayouta300_pipeline pipeline BertForSequenceClassification from Ayouta300
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_ayouta300_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_ayouta300_pipeline` is a English model originally trained by Ayouta300.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ayouta300_pipeline_en_5.5.0_3.0_1727320786931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ayouta300_pipeline_en_5.5.0_3.0_1727320786931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_ayouta300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_ayouta300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_ayouta300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Ayouta300/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_aysin_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_aysin_en.md
new file mode 100644
index 00000000000000..b1b1977230b69f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_aysin_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_aysin BertForSequenceClassification from aysin
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_aysin
+date: 2024-09-26
+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_finetuned_cola_aysin` is a English model originally trained by aysin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_aysin_en_5.5.0_3.0_1727317230986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_aysin_en_5.5.0_3.0_1727317230986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_aysin|
+|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/aysin/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_aysin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_aysin_pipeline_en.md
new file mode 100644
index 00000000000000..38b5278cc4f45f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_aysin_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_aysin_pipeline pipeline BertForSequenceClassification from aysin
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_aysin_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_aysin_pipeline` is a English model originally trained by aysin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_aysin_pipeline_en_5.5.0_3.0_1727317252886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_aysin_pipeline_en_5.5.0_3.0_1727317252886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_aysin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_aysin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_aysin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/aysin/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_batch_32_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_batch_32_en.md
new file mode 100644
index 00000000000000..48a8eaf5847e8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_batch_32_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_batch_32 BertForSequenceClassification from cansurav
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_batch_32
+date: 2024-09-26
+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_finetuned_cola_batch_32` is a English model originally trained by cansurav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_batch_32_en_5.5.0_3.0_1727316079629.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_batch_32_en_5.5.0_3.0_1727316079629.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_batch_32|
+|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/cansurav/bert-base-uncased-finetuned-cola-batch-32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_batch_64_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_batch_64_en.md
new file mode 100644
index 00000000000000..0653af92e619c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_batch_64_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_batch_64 BertForSequenceClassification from cansurav
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_batch_64
+date: 2024-09-26
+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_finetuned_cola_batch_64` is a English model originally trained by cansurav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_batch_64_en_5.5.0_3.0_1727321670986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_batch_64_en_5.5.0_3.0_1727321670986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_batch_64|
+|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/cansurav/bert-base-uncased-finetuned-cola-batch-64
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_bilalkabas_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_bilalkabas_en.md
new file mode 100644
index 00000000000000..bb09beec85b477
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_bilalkabas_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_bilalkabas BertForSequenceClassification from bilalkabas
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_bilalkabas
+date: 2024-09-26
+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_finetuned_cola_bilalkabas` is a English model originally trained by bilalkabas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_bilalkabas_en_5.5.0_3.0_1727322175156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_bilalkabas_en_5.5.0_3.0_1727322175156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_bilalkabas|
+|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/bilalkabas/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_bonurtek_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_bonurtek_en.md
new file mode 100644
index 00000000000000..5953f1e333a511
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_bonurtek_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_bonurtek BertForSequenceClassification from bonurtek
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_bonurtek
+date: 2024-09-26
+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_finetuned_cola_bonurtek` is a English model originally trained by bonurtek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_bonurtek_en_5.5.0_3.0_1727351045581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_bonurtek_en_5.5.0_3.0_1727351045581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_bonurtek|
+|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/bonurtek/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_bonurtek_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_bonurtek_pipeline_en.md
new file mode 100644
index 00000000000000..0c9ca51a77b012
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_bonurtek_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_bonurtek_pipeline pipeline BertForSequenceClassification from bonurtek
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_bonurtek_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_bonurtek_pipeline` is a English model originally trained by bonurtek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_bonurtek_pipeline_en_5.5.0_3.0_1727351067047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_bonurtek_pipeline_en_5.5.0_3.0_1727351067047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_bonurtek_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_bonurtek_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_bonurtek_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/bonurtek/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_dropout_0_6_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_dropout_0_6_en.md
new file mode 100644
index 00000000000000..0eb6a60e6bcb81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_dropout_0_6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_dropout_0_6 BertForSequenceClassification from cansurav
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_dropout_0_6
+date: 2024-09-26
+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_finetuned_cola_dropout_0_6` is a English model originally trained by cansurav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_dropout_0_6_en_5.5.0_3.0_1727319204540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_dropout_0_6_en_5.5.0_3.0_1727319204540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_dropout_0_6|
+|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/cansurav/bert-base-uncased-finetuned-cola-dropout-0.6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_dropout_0_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_dropout_0_6_pipeline_en.md
new file mode 100644
index 00000000000000..0228374823db1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_dropout_0_6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_dropout_0_6_pipeline pipeline BertForSequenceClassification from cansurav
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_dropout_0_6_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_dropout_0_6_pipeline` is a English model originally trained by cansurav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_dropout_0_6_pipeline_en_5.5.0_3.0_1727319228273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_dropout_0_6_pipeline_en_5.5.0_3.0_1727319228273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_dropout_0_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_dropout_0_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_dropout_0_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/cansurav/bert-base-uncased-finetuned-cola-dropout-0.6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_elifcen_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_elifcen_en.md
new file mode 100644
index 00000000000000..a655cfaeadec37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_elifcen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_elifcen BertForSequenceClassification from elifcen
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_elifcen
+date: 2024-09-26
+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_finetuned_cola_elifcen` is a English model originally trained by elifcen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_elifcen_en_5.5.0_3.0_1727352032618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_elifcen_en_5.5.0_3.0_1727352032618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_elifcen|
+|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/elifcen/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_esragenc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_esragenc_pipeline_en.md
new file mode 100644
index 00000000000000..cbb50aa0e02e89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_esragenc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_esragenc_pipeline pipeline BertForSequenceClassification from esragenc
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_esragenc_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_esragenc_pipeline` is a English model originally trained by esragenc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_esragenc_pipeline_en_5.5.0_3.0_1727354958620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_esragenc_pipeline_en_5.5.0_3.0_1727354958620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_esragenc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_esragenc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_esragenc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/esragenc/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ilkekas_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ilkekas_en.md
new file mode 100644
index 00000000000000..61764116e83089
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ilkekas_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_ilkekas BertForSequenceClassification from ilkekas
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_ilkekas
+date: 2024-09-26
+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_finetuned_cola_ilkekas` is a English model originally trained by ilkekas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ilkekas_en_5.5.0_3.0_1727356258115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ilkekas_en_5.5.0_3.0_1727356258115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_ilkekas|
+|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/ilkekas/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ilkekas_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ilkekas_pipeline_en.md
new file mode 100644
index 00000000000000..639b5a119ac4e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_ilkekas_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_ilkekas_pipeline pipeline BertForSequenceClassification from ilkekas
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_ilkekas_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_ilkekas_pipeline` is a English model originally trained by ilkekas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ilkekas_pipeline_en_5.5.0_3.0_1727356279671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_ilkekas_pipeline_en_5.5.0_3.0_1727356279671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_ilkekas_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_ilkekas_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_ilkekas_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ilkekas/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_jxl99_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_jxl99_pipeline_en.md
new file mode 100644
index 00000000000000..b9f43ff0dad0e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_jxl99_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_jxl99_pipeline pipeline BertForSequenceClassification from JXL99
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_jxl99_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_jxl99_pipeline` is a English model originally trained by JXL99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_jxl99_pipeline_en_5.5.0_3.0_1727333079323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_jxl99_pipeline_en_5.5.0_3.0_1727333079323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_jxl99_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_jxl99_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_jxl99_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/JXL99/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_kreola_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_kreola_en.md
new file mode 100644
index 00000000000000..960a7cb4f456ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_kreola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_kreola BertForSequenceClassification from kreola
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_kreola
+date: 2024-09-26
+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_finetuned_cola_kreola` is a English model originally trained by kreola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_kreola_en_5.5.0_3.0_1727318400114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_kreola_en_5.5.0_3.0_1727318400114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_kreola|
+|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/kreola/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_kreola_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_kreola_pipeline_en.md
new file mode 100644
index 00000000000000..842ddbdfe468a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_kreola_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_kreola_pipeline pipeline BertForSequenceClassification from kreola
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_kreola_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_kreola_pipeline` is a English model originally trained by kreola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_kreola_pipeline_en_5.5.0_3.0_1727318422429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_kreola_pipeline_en_5.5.0_3.0_1727318422429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_kreola_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_kreola_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_kreola_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/kreola/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_learning_rate_0_0001_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_learning_rate_0_0001_en.md
new file mode 100644
index 00000000000000..003ee94f10705c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_learning_rate_0_0001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_learning_rate_0_0001 BertForSequenceClassification from cansurav
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_learning_rate_0_0001
+date: 2024-09-26
+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_finetuned_cola_learning_rate_0_0001` is a English model originally trained by cansurav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_0_0001_en_5.5.0_3.0_1727348916152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_0_0001_en_5.5.0_3.0_1727348916152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_learning_rate_0_0001|
+|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/cansurav/bert-base-uncased-finetuned-cola-learning_rate-0.0001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline_en.md
new file mode 100644
index 00000000000000..b277830ac730e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline pipeline BertForSequenceClassification from cansurav
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline` is a English model originally trained by cansurav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline_en_5.5.0_3.0_1727348937541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline_en_5.5.0_3.0_1727348937541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_learning_rate_0_0001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/cansurav/bert-base-uncased-finetuned-cola-learning_rate-0.0001
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_learning_rate_9e_06_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_learning_rate_9e_06_en.md
new file mode 100644
index 00000000000000..f58d997b687f4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_learning_rate_9e_06_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_learning_rate_9e_06 BertForSequenceClassification from cansurav
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_learning_rate_9e_06
+date: 2024-09-26
+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_finetuned_cola_learning_rate_9e_06` is a English model originally trained by cansurav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_9e_06_en_5.5.0_3.0_1727319334769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_learning_rate_9e_06_en_5.5.0_3.0_1727319334769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_learning_rate_9e_06|
+|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/cansurav/bert-base-uncased-finetuned-cola-learning_rate-9e-06
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_lowkemy_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_lowkemy_en.md
new file mode 100644
index 00000000000000..981ea4d374d80c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_lowkemy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_lowkemy BertForSequenceClassification from lowkemy
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_lowkemy
+date: 2024-09-26
+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_finetuned_cola_lowkemy` is a English model originally trained by lowkemy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_lowkemy_en_5.5.0_3.0_1727352857333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_lowkemy_en_5.5.0_3.0_1727352857333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_lowkemy|
+|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/lowkemy/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_melihberky_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_melihberky_pipeline_en.md
new file mode 100644
index 00000000000000..39f85e5e1361fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_melihberky_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_melihberky_pipeline pipeline BertForSequenceClassification from melihberky
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_melihberky_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_melihberky_pipeline` is a English model originally trained by melihberky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_melihberky_pipeline_en_5.5.0_3.0_1727348416601.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_melihberky_pipeline_en_5.5.0_3.0_1727348416601.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_melihberky_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_melihberky_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_melihberky_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/melihberky/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_sepehr_from_server_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_sepehr_from_server_en.md
new file mode 100644
index 00000000000000..4460b14d37161e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_sepehr_from_server_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_sepehr_from_server BertForSequenceClassification from sepehrbakhshi
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_sepehr_from_server
+date: 2024-09-26
+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_finetuned_cola_sepehr_from_server` is a English model originally trained by sepehrbakhshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_from_server_en_5.5.0_3.0_1727318738692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_from_server_en_5.5.0_3.0_1727318738692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_sepehr_from_server|
+|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/sepehrbakhshi/bert-base-uncased-finetuned-cola_sepehr_from_server
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline_en.md
new file mode 100644
index 00000000000000..fe1a53b66bebd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline pipeline BertForSequenceClassification from sepehrbakhshi
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline` is a English model originally trained by sepehrbakhshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline_en_5.5.0_3.0_1727318760915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline_en_5.5.0_3.0_1727318760915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_sepehr_from_server_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sepehrbakhshi/bert-base-uncased-finetuned-cola_sepehr_from_server
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa_en.md
new file mode 100644
index 00000000000000..c7c8d9e7deda9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa BertForSequenceClassification from sepehrbakhshi
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa
+date: 2024-09-26
+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_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa` is a English model originally trained by sepehrbakhshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa_en_5.5.0_3.0_1727352575823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa_en_5.5.0_3.0_1727352575823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa|
+|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/sepehrbakhshi/bert-base-uncased-finetuned-cola_sepehr_sepehr_sepehr_saturday_new
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_zeynoko_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_zeynoko_en.md
new file mode 100644
index 00000000000000..63e461e2636ccd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_zeynoko_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_zeynoko BertForSequenceClassification from Zeynoko
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_zeynoko
+date: 2024-09-26
+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_finetuned_cola_zeynoko` is a English model originally trained by Zeynoko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_zeynoko_en_5.5.0_3.0_1727318242846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_zeynoko_en_5.5.0_3.0_1727318242846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_zeynoko|
+|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/Zeynoko/bert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_zeynoko_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_zeynoko_pipeline_en.md
new file mode 100644
index 00000000000000..3aac19ab615b6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_cola_zeynoko_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_cola_zeynoko_pipeline pipeline BertForSequenceClassification from Zeynoko
+author: John Snow Labs
+name: bert_base_uncased_finetuned_cola_zeynoko_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_cola_zeynoko_pipeline` is a English model originally trained by Zeynoko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_zeynoko_pipeline_en_5.5.0_3.0_1727318268409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_cola_zeynoko_pipeline_en_5.5.0_3.0_1727318268409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_cola_zeynoko_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_cola_zeynoko_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_cola_zeynoko_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Zeynoko/bert-base-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_detests_29_10_2022_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_detests_29_10_2022_en.md
new file mode 100644
index 00000000000000..c23839b27ec63f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_detests_29_10_2022_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_detests_29_10_2022 BertForSequenceClassification from Pablo94
+author: John Snow Labs
+name: bert_base_uncased_finetuned_detests_29_10_2022
+date: 2024-09-26
+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_finetuned_detests_29_10_2022` is a English model originally trained by Pablo94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_detests_29_10_2022_en_5.5.0_3.0_1727317162328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_detests_29_10_2022_en_5.5.0_3.0_1727317162328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_detests_29_10_2022|
+|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/Pablo94/bert-base-uncased-finetuned-detests-29-10-2022
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_dropout_cola_0_8_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_dropout_cola_0_8_en.md
new file mode 100644
index 00000000000000..087685140f77b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_dropout_cola_0_8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_dropout_cola_0_8 BertForSequenceClassification from yagmurery
+author: John Snow Labs
+name: bert_base_uncased_finetuned_dropout_cola_0_8
+date: 2024-09-26
+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_finetuned_dropout_cola_0_8` is a English model originally trained by yagmurery.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_dropout_cola_0_8_en_5.5.0_3.0_1727340994307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_dropout_cola_0_8_en_5.5.0_3.0_1727340994307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_dropout_cola_0_8|
+|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/yagmurery/bert-base-uncased-finetuned-dropout-cola-0.8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_dropout_cola_0_8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_dropout_cola_0_8_pipeline_en.md
new file mode 100644
index 00000000000000..1005f903fc0c3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_dropout_cola_0_8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_dropout_cola_0_8_pipeline pipeline BertForSequenceClassification from yagmurery
+author: John Snow Labs
+name: bert_base_uncased_finetuned_dropout_cola_0_8_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_dropout_cola_0_8_pipeline` is a English model originally trained by yagmurery.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_dropout_cola_0_8_pipeline_en_5.5.0_3.0_1727341015535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_dropout_cola_0_8_pipeline_en_5.5.0_3.0_1727341015535.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_dropout_cola_0_8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_dropout_cola_0_8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_dropout_cola_0_8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yagmurery/bert-base-uncased-finetuned-dropout-cola-0.8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_filtered_0608_test_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_filtered_0608_test_en.md
new file mode 100644
index 00000000000000..2acbe2983a8976
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_filtered_0608_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_filtered_0608_test BertForSequenceClassification from YeRyeongLee
+author: John Snow Labs
+name: bert_base_uncased_finetuned_filtered_0608_test
+date: 2024-09-26
+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_finetuned_filtered_0608_test` is a English model originally trained by YeRyeongLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_filtered_0608_test_en_5.5.0_3.0_1727346314253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_filtered_0608_test_en_5.5.0_3.0_1727346314253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_filtered_0608_test|
+|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/YeRyeongLee/bert-base-uncased-finetuned-filtered-0608_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_filtered_0609_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_filtered_0609_pipeline_en.md
new file mode 100644
index 00000000000000..4a2bf423cefbf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_filtered_0609_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_filtered_0609_pipeline pipeline BertForSequenceClassification from YeRyeongLee
+author: John Snow Labs
+name: bert_base_uncased_finetuned_filtered_0609_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_filtered_0609_pipeline` is a English model originally trained by YeRyeongLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_filtered_0609_pipeline_en_5.5.0_3.0_1727346262555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_filtered_0609_pipeline_en_5.5.0_3.0_1727346262555.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_filtered_0609_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_filtered_0609_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_filtered_0609_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/YeRyeongLee/bert-base-uncased-finetuned-filtered-0609
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_humordetection_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_humordetection_en.md
new file mode 100644
index 00000000000000..aec938c871bc8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_humordetection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_humordetection BertForSequenceClassification from thanawan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_humordetection
+date: 2024-09-26
+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_finetuned_humordetection` is a English model originally trained by thanawan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_humordetection_en_5.5.0_3.0_1727309135954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_humordetection_en_5.5.0_3.0_1727309135954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_humordetection|
+|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/thanawan/bert-base-uncased-finetuned-humordetection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_humordetection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_humordetection_pipeline_en.md
new file mode 100644
index 00000000000000..7cf17cf9179b21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_humordetection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_humordetection_pipeline pipeline BertForSequenceClassification from thanawan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_humordetection_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_humordetection_pipeline` is a English model originally trained by thanawan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_humordetection_pipeline_en_5.5.0_3.0_1727309158132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_humordetection_pipeline_en_5.5.0_3.0_1727309158132.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_humordetection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_humordetection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_humordetection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/thanawan/bert-base-uncased-finetuned-humordetection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline_en.md
new file mode 100644
index 00000000000000..bb1b5b1c45b8d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline pipeline BertForSequenceClassification from nikitakapitan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline` is a English model originally trained by nikitakapitan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline_en_5.5.0_3.0_1727309531880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline_en_5.5.0_3.0_1727309531880.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_imdb_nikitakapitan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_imdb_nikitakapitan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nikitakapitan/bert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_512_5_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_512_5_en.md
new file mode 100644
index 00000000000000..dca8281952e085
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_512_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_512_5 BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_512_5
+date: 2024-09-26
+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_finetuned_mnli_512_5` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_512_5_en_5.5.0_3.0_1727313261743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_512_5_en_5.5.0_3.0_1727313261743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_512_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/yy642/bert-base-uncased-finetuned-mnli-512-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_512_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_512_5_pipeline_en.md
new file mode 100644
index 00000000000000..7035d96125bd4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_512_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_512_5_pipeline pipeline BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_512_5_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mnli_512_5_pipeline` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_512_5_pipeline_en_5.5.0_3.0_1727313283790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_512_5_pipeline_en_5.5.0_3.0_1727313283790.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_mnli_512_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_mnli_512_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_512_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yy642/bert-base-uncased-finetuned-mnli-512-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_minseok0809_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_minseok0809_en.md
new file mode 100644
index 00000000000000..8d929803119cbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_minseok0809_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_minseok0809 BertForSequenceClassification from minseok0809
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_minseok0809
+date: 2024-09-26
+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_finetuned_mnli_minseok0809` is a English model originally trained by minseok0809.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_minseok0809_en_5.5.0_3.0_1727339050105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_minseok0809_en_5.5.0_3.0_1727339050105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_minseok0809|
+|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/minseok0809/bert-base-uncased-finetuned-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_minseok0809_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_minseok0809_pipeline_en.md
new file mode 100644
index 00000000000000..71a44163853210
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_minseok0809_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_minseok0809_pipeline pipeline BertForSequenceClassification from minseok0809
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_minseok0809_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mnli_minseok0809_pipeline` is a English model originally trained by minseok0809.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_minseok0809_pipeline_en_5.5.0_3.0_1727339071854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_minseok0809_pipeline_en_5.5.0_3.0_1727339071854.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_mnli_minseok0809_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_mnli_minseok0809_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_minseok0809_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/minseok0809/bert-base-uncased-finetuned-mnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline_en.md
new file mode 100644
index 00000000000000..ad2e5139692f99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline pipeline BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline_en_5.5.0_3.0_1727346362500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline_en_5.5.0_3.0_1727346362500.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_mnli_rte_wnli_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mnli_rte_wnli_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yy642/bert-base-uncased-finetuned-mnli-rte-wnli-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mrpc_minseok0809_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mrpc_minseok0809_pipeline_en.md
new file mode 100644
index 00000000000000..25fd7111fd1078
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mrpc_minseok0809_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mrpc_minseok0809_pipeline pipeline BertForSequenceClassification from minseok0809
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mrpc_minseok0809_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mrpc_minseok0809_pipeline` is a English model originally trained by minseok0809.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mrpc_minseok0809_pipeline_en_5.5.0_3.0_1727345283252.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mrpc_minseok0809_pipeline_en_5.5.0_3.0_1727345283252.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_mrpc_minseok0809_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_mrpc_minseok0809_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mrpc_minseok0809_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/minseok0809/bert-base-uncased-finetuned-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mrpc_senfu_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mrpc_senfu_en.md
new file mode 100644
index 00000000000000..a196093c4cf657
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mrpc_senfu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mrpc_senfu BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mrpc_senfu
+date: 2024-09-26
+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_finetuned_mrpc_senfu` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mrpc_senfu_en_5.5.0_3.0_1727348540471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mrpc_senfu_en_5.5.0_3.0_1727348540471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mrpc_senfu|
+|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/senfu/bert-base-uncased-finetuned-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mrpc_senfu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mrpc_senfu_pipeline_en.md
new file mode 100644
index 00000000000000..726a45c146d2e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_mrpc_senfu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_mrpc_senfu_pipeline pipeline BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_finetuned_mrpc_senfu_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_mrpc_senfu_pipeline` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mrpc_senfu_pipeline_en_5.5.0_3.0_1727348562459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_mrpc_senfu_pipeline_en_5.5.0_3.0_1727348562459.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_mrpc_senfu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_mrpc_senfu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_mrpc_senfu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/senfu/bert-base-uncased-finetuned-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_qnli_senfu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_qnli_senfu_pipeline_en.md
new file mode 100644
index 00000000000000..41c0d2d451c257
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_qnli_senfu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_qnli_senfu_pipeline pipeline BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_finetuned_qnli_senfu_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_qnli_senfu_pipeline` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qnli_senfu_pipeline_en_5.5.0_3.0_1727355209061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qnli_senfu_pipeline_en_5.5.0_3.0_1727355209061.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_qnli_senfu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_qnli_senfu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_qnli_senfu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/senfu/bert-base-uncased-finetuned-qnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_qqp_anuj55_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_qqp_anuj55_en.md
new file mode 100644
index 00000000000000..e6c2beae9f93f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_qqp_anuj55_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_qqp_anuj55 BertForSequenceClassification from anuj55
+author: John Snow Labs
+name: bert_base_uncased_finetuned_qqp_anuj55
+date: 2024-09-26
+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_finetuned_qqp_anuj55` is a English model originally trained by anuj55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qqp_anuj55_en_5.5.0_3.0_1727353822443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qqp_anuj55_en_5.5.0_3.0_1727353822443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_qqp_anuj55|
+|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/anuj55/bert-base-uncased-finetuned-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_qqp_w05230505_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_qqp_w05230505_en.md
new file mode 100644
index 00000000000000..770f01f21bb8ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_qqp_w05230505_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_qqp_w05230505 BertForSequenceClassification from w05230505
+author: John Snow Labs
+name: bert_base_uncased_finetuned_qqp_w05230505
+date: 2024-09-26
+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_finetuned_qqp_w05230505` is a English model originally trained by w05230505.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qqp_w05230505_en_5.5.0_3.0_1727338519098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_qqp_w05230505_en_5.5.0_3.0_1727338519098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_qqp_w05230505|
+|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/w05230505/bert-base-uncased-finetuned-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_removed_0529_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_removed_0529_pipeline_en.md
new file mode 100644
index 00000000000000..5d2f0806aac1e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_removed_0529_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_removed_0529_pipeline pipeline BertForSequenceClassification from YeRyeongLee
+author: John Snow Labs
+name: bert_base_uncased_finetuned_removed_0529_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_removed_0529_pipeline` is a English model originally trained by YeRyeongLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_removed_0529_pipeline_en_5.5.0_3.0_1727319028384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_removed_0529_pipeline_en_5.5.0_3.0_1727319028384.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_removed_0529_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_removed_0529_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_removed_0529_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/YeRyeongLee/bert-base-uncased-finetuned-removed-0529
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_removed_0530_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_removed_0530_en.md
new file mode 100644
index 00000000000000..e08e48f5a19d1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_removed_0530_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_removed_0530 BertForSequenceClassification from YeRyeongLee
+author: John Snow Labs
+name: bert_base_uncased_finetuned_removed_0530
+date: 2024-09-26
+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_finetuned_removed_0530` is a English model originally trained by YeRyeongLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_removed_0530_en_5.5.0_3.0_1727347475509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_removed_0530_en_5.5.0_3.0_1727347475509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_removed_0530|
+|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/YeRyeongLee/bert-base-uncased-finetuned-removed-0530
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_rte_max_length_256_epoch_5_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_rte_max_length_256_epoch_5_en.md
new file mode 100644
index 00000000000000..888248bdaf5046
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_rte_max_length_256_epoch_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_rte_max_length_256_epoch_5 BertForSequenceClassification from yy642
+author: John Snow Labs
+name: bert_base_uncased_finetuned_rte_max_length_256_epoch_5
+date: 2024-09-26
+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_finetuned_rte_max_length_256_epoch_5` is a English model originally trained by yy642.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_256_epoch_5_en_5.5.0_3.0_1727310863156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_max_length_256_epoch_5_en_5.5.0_3.0_1727310863156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_rte_max_length_256_epoch_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/yy642/bert-base-uncased-finetuned-rte-max-length-256-epoch-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_rte_senfu_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_rte_senfu_en.md
new file mode 100644
index 00000000000000..995507716bfcfd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_rte_senfu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_rte_senfu BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_finetuned_rte_senfu
+date: 2024-09-26
+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_finetuned_rte_senfu` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_senfu_en_5.5.0_3.0_1727321376664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_senfu_en_5.5.0_3.0_1727321376664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_rte_senfu|
+|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/senfu/bert-base-uncased-finetuned-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_rte_senfu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_rte_senfu_pipeline_en.md
new file mode 100644
index 00000000000000..da7b5c052986ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_rte_senfu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_rte_senfu_pipeline pipeline BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_finetuned_rte_senfu_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_rte_senfu_pipeline` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_senfu_pipeline_en_5.5.0_3.0_1727321402066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_rte_senfu_pipeline_en_5.5.0_3.0_1727321402066.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_rte_senfu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_rte_senfu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_rte_senfu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/senfu/bert-base-uncased-finetuned-rte
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sdg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sdg_pipeline_en.md
new file mode 100644
index 00000000000000..f2bc02e51b9331
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sdg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sdg_pipeline pipeline BertForSequenceClassification from jonas
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sdg_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sdg_pipeline` is a English model originally trained by jonas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sdg_pipeline_en_5.5.0_3.0_1727310716679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sdg_pipeline_en_5.5.0_3.0_1727310716679.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_sdg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_sdg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sdg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/jonas/bert-base-uncased-finetuned-sdg
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_spam_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_spam_en.md
new file mode 100644
index 00000000000000..55430185473dba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_spam_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_spam BertForSequenceClassification from ana-grassmann
+author: John Snow Labs
+name: bert_base_uncased_finetuned_spam
+date: 2024-09-26
+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_finetuned_spam` is a English model originally trained by ana-grassmann.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_spam_en_5.5.0_3.0_1727368582437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_spam_en_5.5.0_3.0_1727368582437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_spam|
+|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/ana-grassmann/bert-base-uncased-finetuned-spam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_spam_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_spam_pipeline_en.md
new file mode 100644
index 00000000000000..75ec03911f8c8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_spam_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_spam_pipeline pipeline BertForSequenceClassification from ana-grassmann
+author: John Snow Labs
+name: bert_base_uncased_finetuned_spam_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_spam_pipeline` is a English model originally trained by ana-grassmann.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_spam_pipeline_en_5.5.0_3.0_1727368603083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_spam_pipeline_en_5.5.0_3.0_1727368603083.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_spam_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_spam_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_spam_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ana-grassmann/bert-base-uncased-finetuned-spam
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sql_classification_with_question_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sql_classification_with_question_en.md
new file mode 100644
index 00000000000000..dc99226c1bbc19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sql_classification_with_question_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sql_classification_with_question BertForSequenceClassification from PatWang
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sql_classification_with_question
+date: 2024-09-26
+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_finetuned_sql_classification_with_question` is a English model originally trained by PatWang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sql_classification_with_question_en_5.5.0_3.0_1727339525153.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sql_classification_with_question_en_5.5.0_3.0_1727339525153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sql_classification_with_question|
+|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/PatWang/bert-base-uncased-finetuned-sql-classification-with_question
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_axljeremy7_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_axljeremy7_en.md
new file mode 100644
index 00000000000000..41850ecd4a537f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_axljeremy7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_axljeremy7 BertForSequenceClassification from axljeremy7
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_axljeremy7
+date: 2024-09-26
+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_finetuned_sst2_axljeremy7` is a English model originally trained by axljeremy7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_axljeremy7_en_5.5.0_3.0_1727317612398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_axljeremy7_en_5.5.0_3.0_1727317612398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_axljeremy7|
+|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/axljeremy7/bert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_axljeremy7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_axljeremy7_pipeline_en.md
new file mode 100644
index 00000000000000..a4fbac5aa3d79b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_axljeremy7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_axljeremy7_pipeline pipeline BertForSequenceClassification from axljeremy7
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_axljeremy7_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sst2_axljeremy7_pipeline` is a English model originally trained by axljeremy7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_axljeremy7_pipeline_en_5.5.0_3.0_1727317635988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_axljeremy7_pipeline_en_5.5.0_3.0_1727317635988.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_sst2_axljeremy7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_sst2_axljeremy7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_axljeremy7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/axljeremy7/bert-base-uncased-finetuned-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_pranav4205_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_pranav4205_en.md
new file mode 100644
index 00000000000000..022af30c0884f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_pranav4205_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_pranav4205 BertForSequenceClassification from pranav4205
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_pranav4205
+date: 2024-09-26
+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_finetuned_sst2_pranav4205` is a English model originally trained by pranav4205.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_pranav4205_en_5.5.0_3.0_1727316524197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_pranav4205_en_5.5.0_3.0_1727316524197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_pranav4205|
+|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/pranav4205/bert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_sasuke_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_sasuke_en.md
new file mode 100644
index 00000000000000..32a59cedaf7f33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_sasuke_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_sasuke BertForSequenceClassification from sasuke
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_sasuke
+date: 2024-09-26
+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_finetuned_sst2_sasuke` is a English model originally trained by sasuke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_sasuke_en_5.5.0_3.0_1727349059086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_sasuke_en_5.5.0_3.0_1727349059086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_sasuke|
+|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/sasuke/bert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_senfu_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_senfu_en.md
new file mode 100644
index 00000000000000..f978fac1ccff9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_senfu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_senfu BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_senfu
+date: 2024-09-26
+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_finetuned_sst2_senfu` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_senfu_en_5.5.0_3.0_1727348392423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_senfu_en_5.5.0_3.0_1727348392423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_senfu|
+|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/senfu/bert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_senfu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_senfu_pipeline_en.md
new file mode 100644
index 00000000000000..2ca6d27f61b7bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_senfu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_senfu_pipeline pipeline BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_senfu_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sst2_senfu_pipeline` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_senfu_pipeline_en_5.5.0_3.0_1727348422264.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_senfu_pipeline_en_5.5.0_3.0_1727348422264.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_sst2_senfu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_sst2_senfu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_senfu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/senfu/bert-base-uncased-finetuned-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_tech_oriented_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_tech_oriented_en.md
new file mode 100644
index 00000000000000..2ed1deca37ac86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst2_tech_oriented_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_tech_oriented BertForSequenceClassification from Tech-oriented
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_tech_oriented
+date: 2024-09-26
+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_finetuned_sst2_tech_oriented` is a English model originally trained by Tech-oriented.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_tech_oriented_en_5.5.0_3.0_1727340585188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_tech_oriented_en_5.5.0_3.0_1727340585188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_tech_oriented|
+|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/Tech-oriented/bert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst_2_english_r_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst_2_english_r_en.md
new file mode 100644
index 00000000000000..49a765473b807c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_sst_2_english_r_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst_2_english_r BertForSequenceClassification from rishikesan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst_2_english_r
+date: 2024-09-26
+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_finetuned_sst_2_english_r` is a English model originally trained by rishikesan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst_2_english_r_en_5.5.0_3.0_1727332953113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst_2_english_r_en_5.5.0_3.0_1727332953113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst_2_english_r|
+|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/rishikesan/bert-base-uncased-finetuned-sst-2-english-r
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_stsb_airay_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_stsb_airay_pipeline_en.md
new file mode 100644
index 00000000000000..9f9e1361b0ba6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_stsb_airay_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_stsb_airay_pipeline pipeline BertForSequenceClassification from airay
+author: John Snow Labs
+name: bert_base_uncased_finetuned_stsb_airay_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_stsb_airay_pipeline` is a English model originally trained by airay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_stsb_airay_pipeline_en_5.5.0_3.0_1727367138450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_stsb_airay_pipeline_en_5.5.0_3.0_1727367138450.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_stsb_airay_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_stsb_airay_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_stsb_airay_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/airay/bert-base-uncased-finetuned-stsb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_suicide_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_suicide_en.md
new file mode 100644
index 00000000000000..45ab977be0a1f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_suicide_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_suicide BertForSequenceClassification from psychicautomaton
+author: John Snow Labs
+name: bert_base_uncased_finetuned_suicide
+date: 2024-09-26
+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_finetuned_suicide` is a English model originally trained by psychicautomaton.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_suicide_en_5.5.0_3.0_1727336591200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_suicide_en_5.5.0_3.0_1727336591200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_suicide|
+|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/psychicautomaton/bert-base-uncased-finetuned-suicide
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_suicide_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_suicide_pipeline_en.md
new file mode 100644
index 00000000000000..65686f63eecf0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_suicide_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_suicide_pipeline pipeline BertForSequenceClassification from psychicautomaton
+author: John Snow Labs
+name: bert_base_uncased_finetuned_suicide_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_suicide_pipeline` is a English model originally trained by psychicautomaton.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_suicide_pipeline_en_5.5.0_3.0_1727336614227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_suicide_pipeline_en_5.5.0_3.0_1727336614227.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_suicide_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_suicide_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_suicide_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/psychicautomaton/bert-base-uncased-finetuned-suicide
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_t_vendor_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_t_vendor_en.md
new file mode 100644
index 00000000000000..13f8b5c5967577
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_t_vendor_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_t_vendor BertForSequenceClassification from Gregorig
+author: John Snow Labs
+name: bert_base_uncased_finetuned_t_vendor
+date: 2024-09-26
+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_finetuned_t_vendor` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_t_vendor_en_5.5.0_3.0_1727309572434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_t_vendor_en_5.5.0_3.0_1727309572434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_t_vendor|
+|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/Gregorig/bert-base-uncased-finetuned-t_vendor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_t_vendor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_t_vendor_pipeline_en.md
new file mode 100644
index 00000000000000..b6877648845ec8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_t_vendor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_t_vendor_pipeline pipeline BertForSequenceClassification from Gregorig
+author: John Snow Labs
+name: bert_base_uncased_finetuned_t_vendor_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_t_vendor_pipeline` is a English model originally trained by Gregorig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_t_vendor_pipeline_en_5.5.0_3.0_1727309593692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_t_vendor_pipeline_en_5.5.0_3.0_1727309593692.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_t_vendor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_t_vendor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_t_vendor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Gregorig/bert-base-uncased-finetuned-t_vendor
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_wnli_sujatha2502_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_wnli_sujatha2502_en.md
new file mode 100644
index 00000000000000..63a54bb3be584d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_finetuned_wnli_sujatha2502_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_wnli_sujatha2502 BertForSequenceClassification from sujatha2502
+author: John Snow Labs
+name: bert_base_uncased_finetuned_wnli_sujatha2502
+date: 2024-09-26
+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_finetuned_wnli_sujatha2502` is a English model originally trained by sujatha2502.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_wnli_sujatha2502_en_5.5.0_3.0_1727319895842.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_wnli_sujatha2502_en_5.5.0_3.0_1727319895842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_wnli_sujatha2502|
+|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/sujatha2502/bert-base-uncased-finetuned-wnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_ft_news_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_ft_news_en.md
new file mode 100644
index 00000000000000..7294a131c537ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_ft_news_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_ft_news BertForSequenceClassification from MatFil99
+author: John Snow Labs
+name: bert_base_uncased_ft_news
+date: 2024-09-26
+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_ft_news` is a English model originally trained by MatFil99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ft_news_en_5.5.0_3.0_1727342860640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ft_news_en_5.5.0_3.0_1727342860640.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_ft_news|
+|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/MatFil99/bert-base-uncased-ft-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_ft_news_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_ft_news_pipeline_en.md
new file mode 100644
index 00000000000000..68038ae546b8da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_ft_news_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_ft_news_pipeline pipeline BertForSequenceClassification from MatFil99
+author: John Snow Labs
+name: bert_base_uncased_ft_news_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ft_news_pipeline` is a English model originally trained by MatFil99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ft_news_pipeline_en_5.5.0_3.0_1727342881727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ft_news_pipeline_en_5.5.0_3.0_1727342881727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ft_news_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ft_news_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ft_news_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MatFil99/bert-base-uncased-ft-news
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_glue_mrpc_camilovg_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_glue_mrpc_camilovg_en.md
new file mode 100644
index 00000000000000..93e76b8c7a8dbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_glue_mrpc_camilovg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_glue_mrpc_camilovg BertForSequenceClassification from camiloTel0410
+author: John Snow Labs
+name: bert_base_uncased_glue_mrpc_camilovg
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_glue_mrpc_camilovg` is a English model originally trained by camiloTel0410.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_mrpc_camilovg_en_5.5.0_3.0_1727369451949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_mrpc_camilovg_en_5.5.0_3.0_1727369451949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_glue_mrpc_camilovg|
+|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/camiloTel0410/bert-base-uncased-glue-mrpc-camilovg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_glue_mrpc_camilovg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_glue_mrpc_camilovg_pipeline_en.md
new file mode 100644
index 00000000000000..2302170b66a022
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_glue_mrpc_camilovg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_glue_mrpc_camilovg_pipeline pipeline BertForSequenceClassification from camiloTel0410
+author: John Snow Labs
+name: bert_base_uncased_glue_mrpc_camilovg_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_glue_mrpc_camilovg_pipeline` is a English model originally trained by camiloTel0410.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_mrpc_camilovg_pipeline_en_5.5.0_3.0_1727369472482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_mrpc_camilovg_pipeline_en_5.5.0_3.0_1727369472482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_glue_mrpc_camilovg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_glue_mrpc_camilovg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_glue_mrpc_camilovg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/camiloTel0410/bert-base-uncased-glue-mrpc-camilovg
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_google_boolq_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_google_boolq_en.md
new file mode 100644
index 00000000000000..49f1500e010360
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_google_boolq_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_google_boolq BertForSequenceClassification from pranay-j
+author: John Snow Labs
+name: bert_base_uncased_google_boolq
+date: 2024-09-26
+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_google_boolq` is a English model originally trained by pranay-j.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_google_boolq_en_5.5.0_3.0_1727349693702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_google_boolq_en_5.5.0_3.0_1727349693702.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_google_boolq|
+|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/pranay-j/bert-base-uncased-google-boolq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_google_boolq_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_google_boolq_pipeline_en.md
new file mode 100644
index 00000000000000..b0a91f03f6e67f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_google_boolq_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_google_boolq_pipeline pipeline BertForSequenceClassification from pranay-j
+author: John Snow Labs
+name: bert_base_uncased_google_boolq_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_google_boolq_pipeline` is a English model originally trained by pranay-j.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_google_boolq_pipeline_en_5.5.0_3.0_1727349715135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_google_boolq_pipeline_en_5.5.0_3.0_1727349715135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_google_boolq_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_google_boolq_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_google_boolq_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pranay-j/bert-base-uncased-google-boolq
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_grouped_textsim_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_grouped_textsim_en.md
new file mode 100644
index 00000000000000..045adb232c1675
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_grouped_textsim_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_grouped_textsim BertForSequenceClassification from kaanakdeniz
+author: John Snow Labs
+name: bert_base_uncased_grouped_textsim
+date: 2024-09-26
+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_grouped_textsim` is a English model originally trained by kaanakdeniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_grouped_textsim_en_5.5.0_3.0_1727320956680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_grouped_textsim_en_5.5.0_3.0_1727320956680.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_grouped_textsim|
+|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/kaanakdeniz/bert_base_uncased_grouped_textsim
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_grouped_textsim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_grouped_textsim_pipeline_en.md
new file mode 100644
index 00000000000000..3d3eadbba221ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_grouped_textsim_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_grouped_textsim_pipeline pipeline BertForSequenceClassification from kaanakdeniz
+author: John Snow Labs
+name: bert_base_uncased_grouped_textsim_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_grouped_textsim_pipeline` is a English model originally trained by kaanakdeniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_grouped_textsim_pipeline_en_5.5.0_3.0_1727320980488.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_grouped_textsim_pipeline_en_5.5.0_3.0_1727320980488.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_grouped_textsim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_grouped_textsim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_grouped_textsim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/kaanakdeniz/bert_base_uncased_grouped_textsim
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_hatexplain_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_hatexplain_pipeline_en.md
new file mode 100644
index 00000000000000..976708bd6f91e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_hatexplain_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_hatexplain_pipeline pipeline BertForSequenceClassification from Kanit
+author: John Snow Labs
+name: bert_base_uncased_hatexplain_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_hatexplain_pipeline` is a English model originally trained by Kanit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hatexplain_pipeline_en_5.5.0_3.0_1727344611284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hatexplain_pipeline_en_5.5.0_3.0_1727344611284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_hatexplain_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_hatexplain_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_hatexplain_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kanit/bert-base-uncased-hateXplain
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_hdb_0420_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_hdb_0420_en.md
new file mode 100644
index 00000000000000..d791b3b547e0a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_hdb_0420_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_hdb_0420 BertForSequenceClassification from cestwc
+author: John Snow Labs
+name: bert_base_uncased_hdb_0420
+date: 2024-09-26
+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_hdb_0420` is a English model originally trained by cestwc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hdb_0420_en_5.5.0_3.0_1727312606364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hdb_0420_en_5.5.0_3.0_1727312606364.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_hdb_0420|
+|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/cestwc/bert-base-uncased-hdb-0420
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_header_plus_textsim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_header_plus_textsim_pipeline_en.md
new file mode 100644
index 00000000000000..a840001fd20553
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_header_plus_textsim_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_header_plus_textsim_pipeline pipeline BertForSequenceClassification from kaanakdeniz
+author: John Snow Labs
+name: bert_base_uncased_header_plus_textsim_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_header_plus_textsim_pipeline` is a English model originally trained by kaanakdeniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_header_plus_textsim_pipeline_en_5.5.0_3.0_1727350045829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_header_plus_textsim_pipeline_en_5.5.0_3.0_1727350045829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_header_plus_textsim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_header_plus_textsim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_header_plus_textsim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/kaanakdeniz/bert_base_uncased_header_plus_textsim
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_hoax_classifier_v3_defs_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_hoax_classifier_v3_defs_en.md
new file mode 100644
index 00000000000000..900aa0c75bc1d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_hoax_classifier_v3_defs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_hoax_classifier_v3_defs BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_base_uncased_hoax_classifier_v3_defs
+date: 2024-09-26
+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_hoax_classifier_v3_defs` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hoax_classifier_v3_defs_en_5.5.0_3.0_1727349110458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hoax_classifier_v3_defs_en_5.5.0_3.0_1727349110458.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_hoax_classifier_v3_defs|
+|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/research-dump/bert-base-uncased_hoax_classifier_v3_defs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_imdb_trained_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_imdb_trained_pipeline_en.md
new file mode 100644
index 00000000000000..bdc5193b82f0dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_imdb_trained_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_imdb_trained_pipeline pipeline BertForSequenceClassification from JakobKaiser
+author: John Snow Labs
+name: bert_base_uncased_imdb_trained_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_imdb_trained_pipeline` is a English model originally trained by JakobKaiser.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_imdb_trained_pipeline_en_5.5.0_3.0_1727341228254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_imdb_trained_pipeline_en_5.5.0_3.0_1727341228254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_imdb_trained_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_imdb_trained_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_imdb_trained_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/JakobKaiser/bert-base-uncased-imdb-trained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_jigsaw_toxic_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_jigsaw_toxic_classifier_en.md
new file mode 100644
index 00000000000000..64030be8af9b59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_jigsaw_toxic_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_jigsaw_toxic_classifier BertForSequenceClassification from berkaysahiin
+author: John Snow Labs
+name: bert_base_uncased_jigsaw_toxic_classifier
+date: 2024-09-26
+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_jigsaw_toxic_classifier` is a English model originally trained by berkaysahiin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_jigsaw_toxic_classifier_en_5.5.0_3.0_1727348920837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_jigsaw_toxic_classifier_en_5.5.0_3.0_1727348920837.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_jigsaw_toxic_classifier|
+|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/berkaysahiin/bert-base-uncased-jigsaw-toxic-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_jigsaw_toxic_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_jigsaw_toxic_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..aa1dcc7b8b756e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_jigsaw_toxic_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_jigsaw_toxic_classifier_pipeline pipeline BertForSequenceClassification from berkaysahiin
+author: John Snow Labs
+name: bert_base_uncased_jigsaw_toxic_classifier_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_jigsaw_toxic_classifier_pipeline` is a English model originally trained by berkaysahiin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_jigsaw_toxic_classifier_pipeline_en_5.5.0_3.0_1727348942064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_jigsaw_toxic_classifier_pipeline_en_5.5.0_3.0_1727348942064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_jigsaw_toxic_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_jigsaw_toxic_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_jigsaw_toxic_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/berkaysahiin/bert-base-uncased-jigsaw-toxic-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_kaggle_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_kaggle_en.md
new file mode 100644
index 00000000000000..02189e2dff34d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_kaggle_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_kaggle BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_kaggle
+date: 2024-09-26
+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_kaggle` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kaggle_en_5.5.0_3.0_1727313859962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_kaggle_en_5.5.0_3.0_1727313859962.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_kaggle|
+|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/howey/bert-base-uncased-kaggle
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mnli_epochs_2_lr_1e_05_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mnli_epochs_2_lr_1e_05_en.md
new file mode 100644
index 00000000000000..b21e4e23ebc779
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mnli_epochs_2_lr_1e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_mnli_epochs_2_lr_1e_05 BertForSequenceClassification from prateeky2806
+author: John Snow Labs
+name: bert_base_uncased_mnli_epochs_2_lr_1e_05
+date: 2024-09-26
+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_mnli_epochs_2_lr_1e_05` is a English model originally trained by prateeky2806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_epochs_2_lr_1e_05_en_5.5.0_3.0_1727337158342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_epochs_2_lr_1e_05_en_5.5.0_3.0_1727337158342.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_mnli_epochs_2_lr_1e_05|
+|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/prateeky2806/bert-base-uncased-mnli-epochs-2-lr-1e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mnli_howey_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mnli_howey_en.md
new file mode 100644
index 00000000000000..36fb737f8c08b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mnli_howey_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_mnli_howey BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_mnli_howey
+date: 2024-09-26
+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_mnli_howey` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_howey_en_5.5.0_3.0_1727317014081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_howey_en_5.5.0_3.0_1727317014081.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_mnli_howey|
+|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/howey/bert-base-uncased-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mnli_howey_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mnli_howey_pipeline_en.md
new file mode 100644
index 00000000000000..e0a5309b820a94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mnli_howey_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_mnli_howey_pipeline pipeline BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_mnli_howey_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mnli_howey_pipeline` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_howey_pipeline_en_5.5.0_3.0_1727317035421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_howey_pipeline_en_5.5.0_3.0_1727317035421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_mnli_howey_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_mnli_howey_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mnli_howey_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/howey/bert-base-uncased-mnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mrpc_howey_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mrpc_howey_en.md
new file mode 100644
index 00000000000000..c7f942beaccdd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mrpc_howey_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_howey BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_mrpc_howey
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_howey` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_howey_en_5.5.0_3.0_1727342114497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_howey_en_5.5.0_3.0_1727342114497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_howey|
+|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/howey/bert-base-uncased-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mrpc_howey_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mrpc_howey_pipeline_en.md
new file mode 100644
index 00000000000000..3a40e8052aa04a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_mrpc_howey_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_howey_pipeline pipeline BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_mrpc_howey_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_howey_pipeline` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_howey_pipeline_en_5.5.0_3.0_1727342136498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_howey_pipeline_en_5.5.0_3.0_1727342136498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_mrpc_howey_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_mrpc_howey_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_howey_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/howey/bert-base-uncased-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_news_about_gold_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_news_about_gold_en.md
new file mode 100644
index 00000000000000..2ed3946a7b6aea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_news_about_gold_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_news_about_gold BertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: bert_base_uncased_news_about_gold
+date: 2024-09-26
+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_news_about_gold` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_news_about_gold_en_5.5.0_3.0_1727346464577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_news_about_gold_en_5.5.0_3.0_1727346464577.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_news_about_gold|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/bert-base-uncased-News_About_Gold
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_newscategoryclassification_fullmodel_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_newscategoryclassification_fullmodel_en.md
new file mode 100644
index 00000000000000..f5925f9ceaabb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_newscategoryclassification_fullmodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_newscategoryclassification_fullmodel BertForSequenceClassification from akashmaggon
+author: John Snow Labs
+name: bert_base_uncased_newscategoryclassification_fullmodel
+date: 2024-09-26
+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_newscategoryclassification_fullmodel` is a English model originally trained by akashmaggon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_en_5.5.0_3.0_1727349570537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_en_5.5.0_3.0_1727349570537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_newscategoryclassification_fullmodel|
+|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/akashmaggon/bert-base-uncased-newscategoryclassification-fullmodel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_newscategoryclassification_fullmodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_newscategoryclassification_fullmodel_pipeline_en.md
new file mode 100644
index 00000000000000..3c281bedec2365
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_newscategoryclassification_fullmodel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_newscategoryclassification_fullmodel_pipeline pipeline BertForSequenceClassification from akashmaggon
+author: John Snow Labs
+name: bert_base_uncased_newscategoryclassification_fullmodel_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_newscategoryclassification_fullmodel_pipeline` is a English model originally trained by akashmaggon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_pipeline_en_5.5.0_3.0_1727349593293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_pipeline_en_5.5.0_3.0_1727349593293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_newscategoryclassification_fullmodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_newscategoryclassification_fullmodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_newscategoryclassification_fullmodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/akashmaggon/bert-base-uncased-newscategoryclassification-fullmodel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_offenseval2019_downsample_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_offenseval2019_downsample_en.md
new file mode 100644
index 00000000000000..864a2ea040a81d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_offenseval2019_downsample_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_offenseval2019_downsample BertForSequenceClassification from mohsenfayyaz
+author: John Snow Labs
+name: bert_base_uncased_offenseval2019_downsample
+date: 2024-09-26
+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_offenseval2019_downsample` is a English model originally trained by mohsenfayyaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_offenseval2019_downsample_en_5.5.0_3.0_1727351956024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_offenseval2019_downsample_en_5.5.0_3.0_1727351956024.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_offenseval2019_downsample|
+|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/mohsenfayyaz/bert-base-uncased-offenseval2019-downsample
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_offenseval2019_downsample_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_offenseval2019_downsample_pipeline_en.md
new file mode 100644
index 00000000000000..8e65d5cf42862c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_offenseval2019_downsample_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_offenseval2019_downsample_pipeline pipeline BertForSequenceClassification from mohsenfayyaz
+author: John Snow Labs
+name: bert_base_uncased_offenseval2019_downsample_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_offenseval2019_downsample_pipeline` is a English model originally trained by mohsenfayyaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_offenseval2019_downsample_pipeline_en_5.5.0_3.0_1727351977819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_offenseval2019_downsample_pipeline_en_5.5.0_3.0_1727351977819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_offenseval2019_downsample_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_offenseval2019_downsample_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_offenseval2019_downsample_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mohsenfayyaz/bert-base-uncased-offenseval2019-downsample
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_polarizeai_1_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_polarizeai_1_en.md
new file mode 100644
index 00000000000000..aa3059f61fd217
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_polarizeai_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_polarizeai_1 BertForSequenceClassification from nisandij
+author: John Snow Labs
+name: bert_base_uncased_polarizeai_1
+date: 2024-09-26
+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_polarizeai_1` is a English model originally trained by nisandij.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_polarizeai_1_en_5.5.0_3.0_1727317262275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_polarizeai_1_en_5.5.0_3.0_1727317262275.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_polarizeai_1|
+|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/nisandij/bert-base-uncased-PolarizeAI-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_polarizeai_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_polarizeai_1_pipeline_en.md
new file mode 100644
index 00000000000000..e87b1133f64b2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_polarizeai_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_polarizeai_1_pipeline pipeline BertForSequenceClassification from nisandij
+author: John Snow Labs
+name: bert_base_uncased_polarizeai_1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_polarizeai_1_pipeline` is a English model originally trained by nisandij.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_polarizeai_1_pipeline_en_5.5.0_3.0_1727317284009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_polarizeai_1_pipeline_en_5.5.0_3.0_1727317284009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_polarizeai_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_polarizeai_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_polarizeai_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nisandij/bert-base-uncased-PolarizeAI-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_qnli_from_bert_large_uncased_qnli_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_qnli_from_bert_large_uncased_qnli_en.md
new file mode 100644
index 00000000000000..be7790f9918283
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_qnli_from_bert_large_uncased_qnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_qnli_from_bert_large_uncased_qnli BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_qnli_from_bert_large_uncased_qnli
+date: 2024-09-26
+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_qnli_from_bert_large_uncased_qnli` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qnli_from_bert_large_uncased_qnli_en_5.5.0_3.0_1727337794139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qnli_from_bert_large_uncased_qnli_en_5.5.0_3.0_1727337794139.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_qnli_from_bert_large_uncased_qnli|
+|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/yoshitomo-matsubara/bert-base-uncased-qnli_from_bert-large-uncased-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_qqp_howey_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_qqp_howey_en.md
new file mode 100644
index 00000000000000..d1d55c818da456
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_qqp_howey_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_qqp_howey BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_qqp_howey
+date: 2024-09-26
+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_qqp_howey` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_howey_en_5.5.0_3.0_1727347980738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_howey_en_5.5.0_3.0_1727347980738.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_qqp_howey|
+|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/howey/bert-base-uncased-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_qqp_howey_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_qqp_howey_pipeline_en.md
new file mode 100644
index 00000000000000..5a7d7e7836e5e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_qqp_howey_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_qqp_howey_pipeline pipeline BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_qqp_howey_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_qqp_howey_pipeline` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_howey_pipeline_en_5.5.0_3.0_1727348002466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_howey_pipeline_en_5.5.0_3.0_1727348002466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_qqp_howey_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_qqp_howey_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_qqp_howey_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/howey/bert-base-uncased-qqp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline_en.md
new file mode 100644
index 00000000000000..0f0f2a842c842a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline pipeline BertForSequenceClassification from prateeky2806
+author: John Snow Labs
+name: bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline` is a English model originally trained by prateeky2806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline_en_5.5.0_3.0_1727338641132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline_en_5.5.0_3.0_1727338641132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_rte_epochs_10_lr_1e_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/prateeky2806/bert-base-uncased-rte-epochs-10-lr-1e-05
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_spam_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_spam_classifier_en.md
new file mode 100644
index 00000000000000..62b5374a38abfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_spam_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_spam_classifier BertForSequenceClassification from pritihalder98
+author: John Snow Labs
+name: bert_base_uncased_spam_classifier
+date: 2024-09-26
+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_spam_classifier` is a English model originally trained by pritihalder98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_spam_classifier_en_5.5.0_3.0_1727315324534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_spam_classifier_en_5.5.0_3.0_1727315324534.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_spam_classifier|
+|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/pritihalder98/bert-base-uncased-spam-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_spam_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_spam_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..1970d5e0140c03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_spam_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_spam_classifier_pipeline pipeline BertForSequenceClassification from pritihalder98
+author: John Snow Labs
+name: bert_base_uncased_spam_classifier_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_spam_classifier_pipeline` is a English model originally trained by pritihalder98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_spam_classifier_pipeline_en_5.5.0_3.0_1727315358578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_spam_classifier_pipeline_en_5.5.0_3.0_1727315358578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_spam_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_spam_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_spam_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/pritihalder98/bert-base-uncased-spam-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_sst2_kowsiknd_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_sst2_kowsiknd_en.md
new file mode 100644
index 00000000000000..4769e3d70b9ea4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_sst2_kowsiknd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_kowsiknd BertForSequenceClassification from kowsiknd
+author: John Snow Labs
+name: bert_base_uncased_sst2_kowsiknd
+date: 2024-09-26
+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_sst2_kowsiknd` is a English model originally trained by kowsiknd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_kowsiknd_en_5.5.0_3.0_1727348833223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_kowsiknd_en_5.5.0_3.0_1727348833223.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_sst2_kowsiknd|
+|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/kowsiknd/bert-base-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_sst2_nncf_unstructured_sparse_80_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_sst2_nncf_unstructured_sparse_80_en.md
new file mode 100644
index 00000000000000..02f679baec72ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_sst2_nncf_unstructured_sparse_80_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_nncf_unstructured_sparse_80 BertForSequenceClassification from yujiepan
+author: John Snow Labs
+name: bert_base_uncased_sst2_nncf_unstructured_sparse_80
+date: 2024-09-26
+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_sst2_nncf_unstructured_sparse_80` is a English model originally trained by yujiepan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_nncf_unstructured_sparse_80_en_5.5.0_3.0_1727317487439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_nncf_unstructured_sparse_80_en_5.5.0_3.0_1727317487439.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_sst2_nncf_unstructured_sparse_80|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/yujiepan/bert-base-uncased-sst2-NNCF-unstructured-sparse-80
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline_en.md
new file mode 100644
index 00000000000000..82627585ead1b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline pipeline BertForSequenceClassification from yujiepan
+author: John Snow Labs
+name: bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline` is a English model originally trained by yujiepan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline_en_5.5.0_3.0_1727317513786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline_en_5.5.0_3.0_1727317513786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst2_nncf_unstructured_sparse_80_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/yujiepan/bert-base-uncased-sst2-NNCF-unstructured-sparse-80
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_symptom_tonga_tonga_islands_diagnosis_trained_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_symptom_tonga_tonga_islands_diagnosis_trained_en.md
new file mode 100644
index 00000000000000..dac184d7b6015e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_symptom_tonga_tonga_islands_diagnosis_trained_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_symptom_tonga_tonga_islands_diagnosis_trained BertForSequenceClassification from JakobKaiser
+author: John Snow Labs
+name: bert_base_uncased_symptom_tonga_tonga_islands_diagnosis_trained
+date: 2024-09-26
+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_symptom_tonga_tonga_islands_diagnosis_trained` is a English model originally trained by JakobKaiser.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_symptom_tonga_tonga_islands_diagnosis_trained_en_5.5.0_3.0_1727344253600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_symptom_tonga_tonga_islands_diagnosis_trained_en_5.5.0_3.0_1727344253600.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_symptom_tonga_tonga_islands_diagnosis_trained|
+|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/JakobKaiser/bert-base-uncased-symptom_to_diagnosis-trained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_tense_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_tense_pipeline_en.md
new file mode 100644
index 00000000000000..baf340fac0b3f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_tense_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_tense_pipeline pipeline BertForSequenceClassification from freethenation
+author: John Snow Labs
+name: bert_base_uncased_tense_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_tense_pipeline` is a English model originally trained by freethenation.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_tense_pipeline_en_5.5.0_3.0_1727351301211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_tense_pipeline_en_5.5.0_3.0_1727351301211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_tense_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_tense_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_tense_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/freethenation/bert-base-uncased-tense
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_textcls_rheology_20230912_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_textcls_rheology_20230912_en.md
new file mode 100644
index 00000000000000..84c1e4a36b736d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_textcls_rheology_20230912_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_textcls_rheology_20230912 BertForSequenceClassification from jonas-luehrs
+author: John Snow Labs
+name: bert_base_uncased_textcls_rheology_20230912
+date: 2024-09-26
+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_textcls_rheology_20230912` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_textcls_rheology_20230912_en_5.5.0_3.0_1727370204620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_textcls_rheology_20230912_en_5.5.0_3.0_1727370204620.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_textcls_rheology_20230912|
+|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/jonas-luehrs/bert-base-uncased-textCLS-RHEOLOGY-20230912
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_textcls_rheology_20230913_1_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_textcls_rheology_20230913_1_en.md
new file mode 100644
index 00000000000000..cdccc383e1d4b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_textcls_rheology_20230913_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_textcls_rheology_20230913_1 BertForSequenceClassification from jonas-luehrs
+author: John Snow Labs
+name: bert_base_uncased_textcls_rheology_20230913_1
+date: 2024-09-26
+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_textcls_rheology_20230913_1` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_textcls_rheology_20230913_1_en_5.5.0_3.0_1727330406111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_textcls_rheology_20230913_1_en_5.5.0_3.0_1727330406111.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_textcls_rheology_20230913_1|
+|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/jonas-luehrs/bert-base-uncased-textCLS-RHEOLOGY-20230913-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_textcls_rheology_20230913_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_textcls_rheology_20230913_1_pipeline_en.md
new file mode 100644
index 00000000000000..23d5a82459dc4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_textcls_rheology_20230913_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_textcls_rheology_20230913_1_pipeline pipeline BertForSequenceClassification from jonas-luehrs
+author: John Snow Labs
+name: bert_base_uncased_textcls_rheology_20230913_1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_textcls_rheology_20230913_1_pipeline` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_textcls_rheology_20230913_1_pipeline_en_5.5.0_3.0_1727330427257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_textcls_rheology_20230913_1_pipeline_en_5.5.0_3.0_1727330427257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_textcls_rheology_20230913_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_textcls_rheology_20230913_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_textcls_rheology_20230913_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-uncased-textCLS-RHEOLOGY-20230913-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_tminer_hs_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_tminer_hs_en.md
new file mode 100644
index 00000000000000..7898ac3968bedf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_tminer_hs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_tminer_hs BertForSequenceClassification from nealmgkr
+author: John Snow Labs
+name: bert_base_uncased_tminer_hs
+date: 2024-09-26
+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_tminer_hs` is a English model originally trained by nealmgkr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_tminer_hs_en_5.5.0_3.0_1727311409279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_tminer_hs_en_5.5.0_3.0_1727311409279.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_tminer_hs|
+|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/nealmgkr/bert-base-uncased-tminer-hs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_top_pruned_qqp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_top_pruned_qqp_pipeline_en.md
new file mode 100644
index 00000000000000..07c865c721ac81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_top_pruned_qqp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_top_pruned_qqp_pipeline pipeline BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_top_pruned_qqp_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_top_pruned_qqp_pipeline` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_qqp_pipeline_en_5.5.0_3.0_1727356013721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_qqp_pipeline_en_5.5.0_3.0_1727356013721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_top_pruned_qqp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_top_pruned_qqp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_top_pruned_qqp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/senfu/bert-base-uncased-top-pruned-qqp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_top_pruned_rte_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_top_pruned_rte_en.md
new file mode 100644
index 00000000000000..becb79a990a24a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_top_pruned_rte_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_top_pruned_rte BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_top_pruned_rte
+date: 2024-09-26
+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_top_pruned_rte` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_rte_en_5.5.0_3.0_1727316008223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_rte_en_5.5.0_3.0_1727316008223.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_top_pruned_rte|
+|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/senfu/bert-base-uncased-top-pruned-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_top_pruned_rte_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_top_pruned_rte_pipeline_en.md
new file mode 100644
index 00000000000000..df219c3d0896be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_top_pruned_rte_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_top_pruned_rte_pipeline pipeline BertForSequenceClassification from senfu
+author: John Snow Labs
+name: bert_base_uncased_top_pruned_rte_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_top_pruned_rte_pipeline` is a English model originally trained by senfu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_rte_pipeline_en_5.5.0_3.0_1727316030193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_top_pruned_rte_pipeline_en_5.5.0_3.0_1727316030193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_top_pruned_rte_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_top_pruned_rte_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_top_pruned_rte_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/senfu/bert-base-uncased-top-pruned-rte
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_twitter_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_twitter_sentiment_en.md
new file mode 100644
index 00000000000000..29bf294d418feb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_twitter_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_twitter_sentiment BertForSequenceClassification from tmchan0003
+author: John Snow Labs
+name: bert_base_uncased_twitter_sentiment
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_twitter_sentiment` is a English model originally trained by tmchan0003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_twitter_sentiment_en_5.5.0_3.0_1727337987280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_twitter_sentiment_en_5.5.0_3.0_1727337987280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_twitter_sentiment|
+|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/tmchan0003/bert-base-uncased-twitter-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_twitter_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_twitter_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..6f96ceaa046df1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_twitter_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_twitter_sentiment_pipeline pipeline BertForSequenceClassification from tmchan0003
+author: John Snow Labs
+name: bert_base_uncased_twitter_sentiment_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_twitter_sentiment_pipeline` is a English model originally trained by tmchan0003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_twitter_sentiment_pipeline_en_5.5.0_3.0_1727338007774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_twitter_sentiment_pipeline_en_5.5.0_3.0_1727338007774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_twitter_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_twitter_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_twitter_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/tmchan0003/bert-base-uncased-twitter-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_v1_pipeline_en.md
new file mode 100644
index 00000000000000..3739a3daed8bbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_v1_pipeline pipeline BertForSequenceClassification from echoquery
+author: John Snow Labs
+name: bert_base_uncased_v1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_v1_pipeline` is a English model originally trained by echoquery.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_v1_pipeline_en_5.5.0_3.0_1727318551180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_v1_pipeline_en_5.5.0_3.0_1727318551180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/echoquery/bert-base-uncased-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_winobias_classifieronly_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_winobias_classifieronly_en.md
new file mode 100644
index 00000000000000..7d6a32942fd1be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_winobias_classifieronly_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_winobias_classifieronly BertForSequenceClassification from asun17904
+author: John Snow Labs
+name: bert_base_uncased_winobias_classifieronly
+date: 2024-09-26
+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_winobias_classifieronly` is a English model originally trained by asun17904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_winobias_classifieronly_en_5.5.0_3.0_1727347196306.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_winobias_classifieronly_en_5.5.0_3.0_1727347196306.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_wnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+References
+
+https://huggingface.co/textattack/bert-base-uncased-WNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline_en.md
new file mode 100644
index 00000000000000..5711af26c9f8f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline pipeline BertForSequenceClassification from prateeky2806
+author: John Snow Labs
+name: bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline` is a English model originally trained by prateeky2806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline_en_5.5.0_3.0_1727338825632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline_en_5.5.0_3.0_1727338825632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_wnli_epochs_10_lr_0_0001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/prateeky2806/bert-base-uncased-wnli-epochs-10-lr-0.0001
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_wnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_wnli_pipeline_en.md
new file mode 100644
index 00000000000000..3c21ab8ffff10d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_wnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_wnli_pipeline pipeline BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_wnli_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_wnli_pipeline` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_wnli_pipeline_en_5.5.0_3.0_1727317949207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_wnli_pipeline_en_5.5.0_3.0_1727317949207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_wnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_wnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_wnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-wnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_yelp_review_full_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_yelp_review_full_pipeline_en.md
new file mode 100644
index 00000000000000..4a27e9dd7c8ebf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_base_uncased_yelp_review_full_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_yelp_review_full_pipeline pipeline BertForSequenceClassification from ixaxaar
+author: John Snow Labs
+name: bert_base_uncased_yelp_review_full_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_yelp_review_full_pipeline` is a English model originally trained by ixaxaar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_yelp_review_full_pipeline_en_5.5.0_3.0_1727317044211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_yelp_review_full_pipeline_en_5.5.0_3.0_1727317044211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_yelp_review_full_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_yelp_review_full_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_yelp_review_full_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/ixaxaar/bert-base-uncased_yelp-review-full
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_emotion_khaldiabderrhmane_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_emotion_khaldiabderrhmane_pipeline_en.md
new file mode 100644
index 00000000000000..edac037ca82452
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_emotion_khaldiabderrhmane_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_emotion_khaldiabderrhmane_pipeline pipeline BertForSequenceClassification from KhaldiAbderrhmane
+author: John Snow Labs
+name: bert_emotion_khaldiabderrhmane_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_emotion_khaldiabderrhmane_pipeline` is a English model originally trained by KhaldiAbderrhmane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_khaldiabderrhmane_pipeline_en_5.5.0_3.0_1727356117813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_khaldiabderrhmane_pipeline_en_5.5.0_3.0_1727356117813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_emotion_khaldiabderrhmane_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_emotion_khaldiabderrhmane_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_khaldiabderrhmane_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/KhaldiAbderrhmane/bert-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_fine_tuned_cola_pallavi176_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_fine_tuned_cola_pallavi176_en.md
new file mode 100644
index 00000000000000..171d9e384104c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_fine_tuned_cola_pallavi176_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_fine_tuned_cola_pallavi176 BertForSequenceClassification from pallavi176
+author: John Snow Labs
+name: bert_fine_tuned_cola_pallavi176
+date: 2024-09-26
+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_fine_tuned_cola_pallavi176` is a English model originally trained by pallavi176.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_pallavi176_en_5.5.0_3.0_1727315308379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_pallavi176_en_5.5.0_3.0_1727315308379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fine_tuned_cola_pallavi176|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/pallavi176/bert-fine-tuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_brianchu26_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_brianchu26_pipeline_en.md
new file mode 100644
index 00000000000000..6cbe3179836920
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_brianchu26_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_brianchu26_pipeline pipeline BertForSequenceClassification from brianchu26
+author: John Snow Labs
+name: bert_finetuned_brianchu26_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_brianchu26_pipeline` is a English model originally trained by brianchu26.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_brianchu26_pipeline_en_5.5.0_3.0_1727314947593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_brianchu26_pipeline_en_5.5.0_3.0_1727314947593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_brianchu26_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_brianchu26_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_brianchu26_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/brianchu26/bert_finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_mrpc_dariodematties_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_mrpc_dariodematties_en.md
new file mode 100644
index 00000000000000..e6f2072c14751e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_mrpc_dariodematties_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_mrpc_dariodematties BertForSequenceClassification from dariodematties
+author: John Snow Labs
+name: bert_finetuned_mrpc_dariodematties
+date: 2024-09-26
+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_finetuned_mrpc_dariodematties` is a English model originally trained by dariodematties.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_mrpc_dariodematties_en_5.5.0_3.0_1727354750763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_mrpc_dariodematties_en_5.5.0_3.0_1727354750763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_mrpc_dariodematties|
+|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/dariodematties/bert-finetuned-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_mrpc_jkassemi_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_mrpc_jkassemi_en.md
new file mode 100644
index 00000000000000..7efcca0d406716
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_mrpc_jkassemi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_mrpc_jkassemi BertForSequenceClassification from jkassemi
+author: John Snow Labs
+name: bert_finetuned_mrpc_jkassemi
+date: 2024-09-26
+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_finetuned_mrpc_jkassemi` is a English model originally trained by jkassemi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_mrpc_jkassemi_en_5.5.0_3.0_1727351492494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_mrpc_jkassemi_en_5.5.0_3.0_1727351492494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_mrpc_jkassemi|
+|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/jkassemi/bert-finetuned-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_mrpc_simtaewan_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_mrpc_simtaewan_en.md
new file mode 100644
index 00000000000000..3be4aa6cefdc00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_mrpc_simtaewan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_mrpc_simtaewan BertForSequenceClassification from Simtaewan
+author: John Snow Labs
+name: bert_finetuned_mrpc_simtaewan
+date: 2024-09-26
+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_finetuned_mrpc_simtaewan` is a English model originally trained by Simtaewan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_mrpc_simtaewan_en_5.5.0_3.0_1727317616444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_mrpc_simtaewan_en_5.5.0_3.0_1727317616444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_mrpc_simtaewan|
+|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/Simtaewan/bert-finetuned-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_semitic_languages_eval_english_andriidemk_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_semitic_languages_eval_english_andriidemk_en.md
new file mode 100644
index 00000000000000..9f8281d2921e21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_semitic_languages_eval_english_andriidemk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_semitic_languages_eval_english_andriidemk BertForSequenceClassification from AndriiDemk
+author: John Snow Labs
+name: bert_finetuned_semitic_languages_eval_english_andriidemk
+date: 2024-09-26
+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_finetuned_semitic_languages_eval_english_andriidemk` is a English model originally trained by AndriiDemk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_andriidemk_en_5.5.0_3.0_1727317099203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_andriidemk_en_5.5.0_3.0_1727317099203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_semitic_languages_eval_english_andriidemk|
+|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/AndriiDemk/bert-finetuned-sem_eval-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_semitic_languages_eval_english_balluk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_semitic_languages_eval_english_balluk_pipeline_en.md
new file mode 100644
index 00000000000000..581adf9d7a27c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_semitic_languages_eval_english_balluk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_semitic_languages_eval_english_balluk_pipeline pipeline BertForSequenceClassification from balluk
+author: John Snow Labs
+name: bert_finetuned_semitic_languages_eval_english_balluk_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_semitic_languages_eval_english_balluk_pipeline` is a English model originally trained by balluk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_balluk_pipeline_en_5.5.0_3.0_1727310889408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_balluk_pipeline_en_5.5.0_3.0_1727310889408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_semitic_languages_eval_english_balluk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_semitic_languages_eval_english_balluk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_semitic_languages_eval_english_balluk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/balluk/bert-finetuned-sem_eval-english
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_semitic_languages_eval_english_yangel88_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_semitic_languages_eval_english_yangel88_en.md
new file mode 100644
index 00000000000000..78b84d60acb1ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_semitic_languages_eval_english_yangel88_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_semitic_languages_eval_english_yangel88 BertForSequenceClassification from yangel88
+author: John Snow Labs
+name: bert_finetuned_semitic_languages_eval_english_yangel88
+date: 2024-09-26
+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_finetuned_semitic_languages_eval_english_yangel88` is a English model originally trained by yangel88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_yangel88_en_5.5.0_3.0_1727318721750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_yangel88_en_5.5.0_3.0_1727318721750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_semitic_languages_eval_english_yangel88|
+|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/yangel88/bert-finetuned-sem_eval-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_seq_cl_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_seq_cl_pipeline_en.md
new file mode 100644
index 00000000000000..248de4cbfbc41f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_seq_cl_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_seq_cl_pipeline pipeline BertForSequenceClassification from Seogmin
+author: John Snow Labs
+name: bert_finetuned_seq_cl_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_seq_cl_pipeline` is a English model originally trained by Seogmin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_seq_cl_pipeline_en_5.5.0_3.0_1727341782511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_seq_cl_pipeline_en_5.5.0_3.0_1727341782511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_seq_cl_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_seq_cl_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_seq_cl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Seogmin/bert-finetuned-seq_cl
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_toxic_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_toxic_en.md
new file mode 100644
index 00000000000000..ade9672f245b58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_toxic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_toxic BertForSequenceClassification from zcamz
+author: John Snow Labs
+name: bert_finetuned_toxic
+date: 2024-09-26
+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_finetuned_toxic` is a English model originally trained by zcamz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_toxic_en_5.5.0_3.0_1727367071128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_toxic_en_5.5.0_3.0_1727367071128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_toxic|
+|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/zcamz/bert-finetuned-toxic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_toxic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_toxic_pipeline_en.md
new file mode 100644
index 00000000000000..706c31671269c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuned_toxic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_toxic_pipeline pipeline BertForSequenceClassification from zcamz
+author: John Snow Labs
+name: bert_finetuned_toxic_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_toxic_pipeline` is a English model originally trained by zcamz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_toxic_pipeline_en_5.5.0_3.0_1727367092148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_toxic_pipeline_en_5.5.0_3.0_1727367092148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_toxic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_toxic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_toxic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/zcamz/bert-finetuned-toxic
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_sentiment_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_sentiment_model_3000_samples_en.md
new file mode 100644
index 00000000000000..b5aaf7536ea929
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_sentiment_model_3000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuning_sentiment_model_3000_samples BertForSequenceClassification from skrh
+author: John Snow Labs
+name: bert_finetuning_sentiment_model_3000_samples
+date: 2024-09-26
+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_finetuning_sentiment_model_3000_samples` is a English model originally trained by skrh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_sentiment_model_3000_samples_en_5.5.0_3.0_1727338226162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_sentiment_model_3000_samples_en_5.5.0_3.0_1727338226162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_sentiment_model_3000_samples|
+|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/skrh/bert_finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_test_junzai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_test_junzai_pipeline_en.md
new file mode 100644
index 00000000000000..88f0b6d419fa36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_test_junzai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuning_test_junzai_pipeline pipeline BertForSequenceClassification from junzai
+author: John Snow Labs
+name: bert_finetuning_test_junzai_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_finetuning_test_junzai_pipeline` is a English model originally trained by junzai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_junzai_pipeline_en_5.5.0_3.0_1727353331639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_junzai_pipeline_en_5.5.0_3.0_1727353331639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuning_test_junzai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuning_test_junzai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_junzai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/junzai/bert_finetuning_test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_test_leslie_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_test_leslie_en.md
new file mode 100644
index 00000000000000..b3187f83b092c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_test_leslie_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuning_test_leslie BertForSequenceClassification from leslie
+author: John Snow Labs
+name: bert_finetuning_test_leslie
+date: 2024-09-26
+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_finetuning_test_leslie` is a English model originally trained by leslie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_leslie_en_5.5.0_3.0_1727347555267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_leslie_en_5.5.0_3.0_1727347555267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_leslie|
+|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/leslie/bert_finetuning_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_test_liangxiaoxiao_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_test_liangxiaoxiao_en.md
new file mode 100644
index 00000000000000..814e363151bcef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_finetuning_test_liangxiaoxiao_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuning_test_liangxiaoxiao BertForSequenceClassification from liangxiaoxiao
+author: John Snow Labs
+name: bert_finetuning_test_liangxiaoxiao
+date: 2024-09-26
+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_finetuning_test_liangxiaoxiao` is a English model originally trained by liangxiaoxiao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_liangxiaoxiao_en_5.5.0_3.0_1727315185426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_liangxiaoxiao_en_5.5.0_3.0_1727315185426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_liangxiaoxiao|
+|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/liangxiaoxiao/bert_finetuning_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_cased_snli_model1_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_cased_snli_model1_en.md
new file mode 100644
index 00000000000000..e9978af81387bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_cased_snli_model1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_cased_snli_model1 BertForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: bert_large_cased_snli_model1
+date: 2024-09-26
+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_large_cased_snli_model1` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_snli_model1_en_5.5.0_3.0_1727353741856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_snli_model1_en_5.5.0_3.0_1727353741856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_snli_model1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/varun-v-rao/bert-large-cased-snli-model1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_cased_snli_model1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_cased_snli_model1_pipeline_en.md
new file mode 100644
index 00000000000000..0f1d19efc43b2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_cased_snli_model1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_cased_snli_model1_pipeline pipeline BertForSequenceClassification from varun-v-rao
+author: John Snow Labs
+name: bert_large_cased_snli_model1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_cased_snli_model1_pipeline` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_snli_model1_pipeline_en_5.5.0_3.0_1727353813930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_snli_model1_pipeline_en_5.5.0_3.0_1727353813930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_cased_snli_model1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_cased_snli_model1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_cased_snli_model1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/varun-v-rao/bert-large-cased-snli-model1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_mnli_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_mnli_en.md
new file mode 100644
index 00000000000000..8feb3f31ea3840
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_mnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_mnli BertForSequenceClassification from Cheng98
+author: John Snow Labs
+name: bert_large_mnli
+date: 2024-09-26
+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_large_mnli` is a English model originally trained by Cheng98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_mnli_en_5.5.0_3.0_1727355569362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_mnli_en_5.5.0_3.0_1727355569362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_mnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Cheng98/bert-large-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_mnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_mnli_pipeline_en.md
new file mode 100644
index 00000000000000..230560900faa4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_mnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_mnli_pipeline pipeline BertForSequenceClassification from Cheng98
+author: John Snow Labs
+name: bert_large_mnli_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_mnli_pipeline` is a English model originally trained by Cheng98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_mnli_pipeline_en_5.5.0_3.0_1727355633469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_mnli_pipeline_en_5.5.0_3.0_1727355633469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_mnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_mnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_mnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Cheng98/bert-large-mnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_adult_text_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_adult_text_classifier_en.md
new file mode 100644
index 00000000000000..28d2ed4057ba5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_adult_text_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_adult_text_classifier BertForSequenceClassification from lazyghost
+author: John Snow Labs
+name: bert_large_uncased_adult_text_classifier
+date: 2024-09-26
+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_large_uncased_adult_text_classifier` is a English model originally trained by lazyghost.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_adult_text_classifier_en_5.5.0_3.0_1727361800259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_adult_text_classifier_en_5.5.0_3.0_1727361800259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_adult_text_classifier|
+|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/lazyghost/bert-large-uncased-Adult-Text-Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_adult_text_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_adult_text_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..ffc44f11ae79ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_adult_text_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_adult_text_classifier_pipeline pipeline BertForSequenceClassification from lazyghost
+author: John Snow Labs
+name: bert_large_uncased_adult_text_classifier_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_adult_text_classifier_pipeline` is a English model originally trained by lazyghost.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_adult_text_classifier_pipeline_en_5.5.0_3.0_1727361826393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_adult_text_classifier_pipeline_en_5.5.0_3.0_1727361826393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_adult_text_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_adult_text_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_adult_text_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/lazyghost/bert-large-uncased-Adult-Text-Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_cola_int8_indic_languages_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_cola_int8_indic_languages_en.md
new file mode 100644
index 00000000000000..7a835d1a4bf015
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_cola_int8_indic_languages_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_cola_int8_indic_languages BertForSequenceClassification from Intel
+author: John Snow Labs
+name: bert_large_uncased_cola_int8_indic_languages
+date: 2024-09-26
+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_large_uncased_cola_int8_indic_languages` is a English model originally trained by Intel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_cola_int8_indic_languages_en_5.5.0_3.0_1727337786147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_cola_int8_indic_languages_en_5.5.0_3.0_1727337786147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_cola_int8_indic_languages|
+|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/Intel/bert-large-uncased-cola-int8-inc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_deletion_multiclass_complete_final_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_deletion_multiclass_complete_final_en.md
new file mode 100644
index 00000000000000..db7db98c6bedc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_deletion_multiclass_complete_final_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_deletion_multiclass_complete_final BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_large_uncased_deletion_multiclass_complete_final
+date: 2024-09-26
+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_large_uncased_deletion_multiclass_complete_final` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_deletion_multiclass_complete_final_en_5.5.0_3.0_1727352317518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_deletion_multiclass_complete_final_en_5.5.0_3.0_1727352317518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_deletion_multiclass_complete_final|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/bert-large-uncased_deletion_multiclass_complete_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_finetuned_filtered_0602_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_finetuned_filtered_0602_en.md
new file mode 100644
index 00000000000000..95636a0f1ffe42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_finetuned_filtered_0602_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_filtered_0602 BertForSequenceClassification from YeRyeongLee
+author: John Snow Labs
+name: bert_large_uncased_finetuned_filtered_0602
+date: 2024-09-26
+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_large_uncased_finetuned_filtered_0602` is a English model originally trained by YeRyeongLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_filtered_0602_en_5.5.0_3.0_1727349928706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_filtered_0602_en_5.5.0_3.0_1727349928706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_filtered_0602|
+|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/YeRyeongLee/bert-large-uncased-finetuned-filtered-0602
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_hate_offensive_oriya_normal_speech_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_hate_offensive_oriya_normal_speech_en.md
new file mode 100644
index 00000000000000..068c13d0141d3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_hate_offensive_oriya_normal_speech_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_hate_offensive_oriya_normal_speech BertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: bert_large_uncased_hate_offensive_oriya_normal_speech
+date: 2024-09-26
+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_large_uncased_hate_offensive_oriya_normal_speech` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_hate_offensive_oriya_normal_speech_en_5.5.0_3.0_1727309822312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_hate_offensive_oriya_normal_speech_en_5.5.0_3.0_1727309822312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_hate_offensive_oriya_normal_speech|
+|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/DunnBC22/bert-large-uncased-Hate_Offensive_or_Normal_Speech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline_en.md
new file mode 100644
index 00000000000000..030656e605afc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline pipeline BertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_hate_offensive_oriya_normal_speech_pipeline` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline_en_5.5.0_3.0_1727309887616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline_en_5.5.0_3.0_1727309887616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_hate_offensive_oriya_normal_speech_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DunnBC22/bert-large-uncased-Hate_Offensive_or_Normal_Speech
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..49e20410c3c006
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_sentiment_pipeline pipeline BertForSequenceClassification from rttl-ai
+author: John Snow Labs
+name: bert_large_uncased_sentiment_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_sentiment_pipeline` is a English model originally trained by rttl-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_sentiment_pipeline_en_5.5.0_3.0_1727324233776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_sentiment_pipeline_en_5.5.0_3.0_1727324233776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/rttl-ai/bert-large-uncased-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_wikistance_policy_v1_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_wikistance_policy_v1_en.md
new file mode 100644
index 00000000000000..f2d4e003162d5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_wikistance_policy_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_large_uncased_wikistance_policy_v1 BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_large_uncased_wikistance_policy_v1
+date: 2024-09-26
+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_large_uncased_wikistance_policy_v1` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wikistance_policy_v1_en_5.5.0_3.0_1727347425589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wikistance_policy_v1_en_5.5.0_3.0_1727347425589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_wikistance_policy_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/bert-large-uncased_wikistance_policy_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_wikistance_policy_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_wikistance_policy_v1_pipeline_en.md
new file mode 100644
index 00000000000000..388c129db5b737
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_large_uncased_wikistance_policy_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_wikistance_policy_v1_pipeline pipeline BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_large_uncased_wikistance_policy_v1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_wikistance_policy_v1_pipeline` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wikistance_policy_v1_pipeline_en_5.5.0_3.0_1727347490311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wikistance_policy_v1_pipeline_en_5.5.0_3.0_1727347490311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_wikistance_policy_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_wikistance_policy_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_wikistance_policy_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/bert-large-uncased_wikistance_policy_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_mdgender_convai_ternary_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_mdgender_convai_ternary_pipeline_en.md
new file mode 100644
index 00000000000000..53635566003706
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_mdgender_convai_ternary_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_mdgender_convai_ternary_pipeline pipeline BertForSequenceClassification from Cameron
+author: John Snow Labs
+name: bert_mdgender_convai_ternary_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_mdgender_convai_ternary_pipeline` is a English model originally trained by Cameron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mdgender_convai_ternary_pipeline_en_5.5.0_3.0_1727367249618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mdgender_convai_ternary_pipeline_en_5.5.0_3.0_1727367249618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_mdgender_convai_ternary_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_mdgender_convai_ternary_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mdgender_convai_ternary_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-mdgender-convai-ternary
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_mini_sentiment_reward_model_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_mini_sentiment_reward_model_en.md
new file mode 100644
index 00000000000000..7b34c44ebbdbb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_mini_sentiment_reward_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_mini_sentiment_reward_model BertForSequenceClassification from shahrukhx01
+author: John Snow Labs
+name: bert_mini_sentiment_reward_model
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_sentiment_reward_model` is a English model originally trained by shahrukhx01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_sentiment_reward_model_en_5.5.0_3.0_1727309376452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_sentiment_reward_model_en_5.5.0_3.0_1727309376452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_sentiment_reward_model|
+|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/shahrukhx01/bert-mini-sentiment-reward-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_mini_sentiment_reward_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_mini_sentiment_reward_model_pipeline_en.md
new file mode 100644
index 00000000000000..405d5f1c596882
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_mini_sentiment_reward_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_mini_sentiment_reward_model_pipeline pipeline BertForSequenceClassification from shahrukhx01
+author: John Snow Labs
+name: bert_mini_sentiment_reward_model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_sentiment_reward_model_pipeline` is a English model originally trained by shahrukhx01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_sentiment_reward_model_pipeline_en_5.5.0_3.0_1727309378893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_sentiment_reward_model_pipeline_en_5.5.0_3.0_1727309378893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_mini_sentiment_reward_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_mini_sentiment_reward_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_sentiment_reward_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/shahrukhx01/bert-mini-sentiment-reward-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_mlc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_mlc_pipeline_en.md
new file mode 100644
index 00000000000000..852883a45b69c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_mlc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_mlc_pipeline pipeline BertForSequenceClassification from Suyash07
+author: John Snow Labs
+name: bert_mlc_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_mlc_pipeline` is a English model originally trained by Suyash07.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mlc_pipeline_en_5.5.0_3.0_1727341534840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mlc_pipeline_en_5.5.0_3.0_1727341534840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_mlc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_mlc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mlc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.6 MB|
+
+## References
+
+https://huggingface.co/Suyash07/BERT_MLC
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_mnli_8000_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_mnli_8000_en.md
new file mode 100644
index 00000000000000..e0dd57b2e68049
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_mnli_8000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_mnli_8000 BertForSequenceClassification from Elkelouizajo
+author: John Snow Labs
+name: bert_mnli_8000
+date: 2024-09-26
+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_mnli_8000` is a English model originally trained by Elkelouizajo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mnli_8000_en_5.5.0_3.0_1727354493288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mnli_8000_en_5.5.0_3.0_1727354493288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mnli_8000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Elkelouizajo/bert_mnli_8000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_mnli_8000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_mnli_8000_pipeline_en.md
new file mode 100644
index 00000000000000..f3427bd0e750c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_mnli_8000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_mnli_8000_pipeline pipeline BertForSequenceClassification from Elkelouizajo
+author: John Snow Labs
+name: bert_mnli_8000_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_mnli_8000_pipeline` is a English model originally trained by Elkelouizajo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mnli_8000_pipeline_en_5.5.0_3.0_1727354556834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mnli_8000_pipeline_en_5.5.0_3.0_1727354556834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_mnli_8000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_mnli_8000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mnli_8000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Elkelouizajo/bert_mnli_8000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_mrpc_trained_dichitha_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_mrpc_trained_dichitha_en.md
new file mode 100644
index 00000000000000..154516d3705693
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_mrpc_trained_dichitha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_mrpc_trained_dichitha BertForSequenceClassification from Dichitha
+author: John Snow Labs
+name: bert_mrpc_trained_dichitha
+date: 2024-09-26
+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_mrpc_trained_dichitha` is a English model originally trained by Dichitha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mrpc_trained_dichitha_en_5.5.0_3.0_1727345698008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mrpc_trained_dichitha_en_5.5.0_3.0_1727345698008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mrpc_trained_dichitha|
+|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/Dichitha/bert_mrpc_trained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_mrpc_trained_dichitha_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_mrpc_trained_dichitha_pipeline_en.md
new file mode 100644
index 00000000000000..3cabc595ef2863
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_mrpc_trained_dichitha_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_mrpc_trained_dichitha_pipeline pipeline BertForSequenceClassification from Dichitha
+author: John Snow Labs
+name: bert_mrpc_trained_dichitha_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_mrpc_trained_dichitha_pipeline` is a English model originally trained by Dichitha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mrpc_trained_dichitha_pipeline_en_5.5.0_3.0_1727345719128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mrpc_trained_dichitha_pipeline_en_5.5.0_3.0_1727345719128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_mrpc_trained_dichitha_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_mrpc_trained_dichitha_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mrpc_trained_dichitha_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Dichitha/bert_mrpc_trained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_multilingual_sdg_classification_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-26-bert_multilingual_sdg_classification_pipeline_xx.md
new file mode 100644
index 00000000000000..3faffac25aaf78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_multilingual_sdg_classification_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual bert_multilingual_sdg_classification_pipeline pipeline BertForSequenceClassification from albertmartinez
+author: John Snow Labs
+name: bert_multilingual_sdg_classification_pipeline
+date: 2024-09-26
+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_multilingual_sdg_classification_pipeline` is a Multilingual model originally trained by albertmartinez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_multilingual_sdg_classification_pipeline_xx_5.5.0_3.0_1727358056683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_multilingual_sdg_classification_pipeline_xx_5.5.0_3.0_1727358056683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_multilingual_sdg_classification_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_multilingual_sdg_classification_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multilingual_sdg_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/albertmartinez/bert-multilingual-sdg-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_multilingual_sdg_classification_xx.md b/docs/_posts/ahmedlone127/2024-09-26-bert_multilingual_sdg_classification_xx.md
new file mode 100644
index 00000000000000..9d4eea689cca0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_multilingual_sdg_classification_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual bert_multilingual_sdg_classification BertForSequenceClassification from albertmartinez
+author: John Snow Labs
+name: bert_multilingual_sdg_classification
+date: 2024-09-26
+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_multilingual_sdg_classification` is a Multilingual model originally trained by albertmartinez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_multilingual_sdg_classification_xx_5.5.0_3.0_1727358023730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_multilingual_sdg_classification_xx_5.5.0_3.0_1727358023730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multilingual_sdg_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/albertmartinez/bert-multilingual-sdg-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_paper_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_paper_classifier_en.md
new file mode 100644
index 00000000000000..9ffb476e8033a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_paper_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_paper_classifier BertForSequenceClassification from oracat
+author: John Snow Labs
+name: bert_paper_classifier
+date: 2024-09-26
+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_paper_classifier` is a English model originally trained by oracat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_paper_classifier_en_5.5.0_3.0_1727314482044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_paper_classifier_en_5.5.0_3.0_1727314482044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_paper_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/oracat/bert-paper-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_paper_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_paper_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..c9557e7bab693e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_paper_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_paper_classifier_pipeline pipeline BertForSequenceClassification from oracat
+author: John Snow Labs
+name: bert_paper_classifier_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_paper_classifier_pipeline` is a English model originally trained by oracat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_paper_classifier_pipeline_en_5.5.0_3.0_1727314503444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_paper_classifier_pipeline_en_5.5.0_3.0_1727314503444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_paper_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_paper_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_paper_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/oracat/bert-paper-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_playground_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_playground_en.md
new file mode 100644
index 00000000000000..da628d21352759
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_playground_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English bert_playground BertForSequenceClassification from antoineross
+author: John Snow Labs
+name: bert_playground
+date: 2024-09-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_playground` is a English model originally trained by antoineross.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_playground_en_5.5.0_3.0_1727321490779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_playground_en_5.5.0_3.0_1727321490779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_playground|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+References
+
+https://huggingface.co/antoineross/bert-playground
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_playground_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_playground_pipeline_en.md
new file mode 100644
index 00000000000000..b91c42a74a0d6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_playground_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_playground_pipeline pipeline BertForSequenceClassification from antoinerossupedu
+author: John Snow Labs
+name: bert_playground_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_playground_pipeline` is a English model originally trained by antoinerossupedu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_playground_pipeline_en_5.5.0_3.0_1727321511470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_playground_pipeline_en_5.5.0_3.0_1727321511470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_playground_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_playground_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_playground_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/antoinerossupedu/bert-playground
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_pol_sentiment_model_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_pol_sentiment_model_en.md
new file mode 100644
index 00000000000000..cfafac0cf1139a
--- /dev/null
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@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_pol_sentiment_model BertForSequenceClassification from manuelcastiblan
+author: John Snow Labs
+name: bert_pol_sentiment_model
+date: 2024-09-26
+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_pol_sentiment_model` is a English model originally trained by manuelcastiblan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_pol_sentiment_model_en_5.5.0_3.0_1727326481568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_pol_sentiment_model_en_5.5.0_3.0_1727326481568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_pol_sentiment_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.4 MB|
+
+## References
+
+https://huggingface.co/manuelcastiblan/BERT-POL-SENTIMENT-MODEL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_regulatory_text_classification_01_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_regulatory_text_classification_01_en.md
new file mode 100644
index 00000000000000..ac0b5a882dd532
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_regulatory_text_classification_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_regulatory_text_classification_01 BertForSequenceClassification from yirifiai1
+author: John Snow Labs
+name: bert_regulatory_text_classification_01
+date: 2024-09-26
+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_regulatory_text_classification_01` is a English model originally trained by yirifiai1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_regulatory_text_classification_01_en_5.5.0_3.0_1727313063172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_regulatory_text_classification_01_en_5.5.0_3.0_1727313063172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_regulatory_text_classification_01|
+|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/yirifiai1/BERT_Regulatory_Text_Classification_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_rte_distilled_cka_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_rte_distilled_cka_en.md
new file mode 100644
index 00000000000000..fce830e2f88ab9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_rte_distilled_cka_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_rte_distilled_cka BertForSequenceClassification from Sayan01
+author: John Snow Labs
+name: bert_rte_distilled_cka
+date: 2024-09-26
+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_rte_distilled_cka` is a English model originally trained by Sayan01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_rte_distilled_cka_en_5.5.0_3.0_1727312025621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_rte_distilled_cka_en_5.5.0_3.0_1727312025621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_rte_distilled_cka|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|155.1 MB|
+
+## References
+
+https://huggingface.co/Sayan01/bert-rte-distilled-cka
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_samoan_gen1_large_defined_summarized_chuvash_0_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_samoan_gen1_large_defined_summarized_chuvash_0_en.md
new file mode 100644
index 00000000000000..245b050be8b8e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_samoan_gen1_large_defined_summarized_chuvash_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_samoan_gen1_large_defined_summarized_chuvash_0 BertForSequenceClassification from wiorz
+author: John Snow Labs
+name: bert_samoan_gen1_large_defined_summarized_chuvash_0
+date: 2024-09-26
+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_samoan_gen1_large_defined_summarized_chuvash_0` is a English model originally trained by wiorz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_samoan_gen1_large_defined_summarized_chuvash_0_en_5.5.0_3.0_1727320805993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_samoan_gen1_large_defined_summarized_chuvash_0_en_5.5.0_3.0_1727320805993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_samoan_gen1_large_defined_summarized_chuvash_0|
+|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/wiorz/bert_sm_gen1_large_defined_summarized_cv_0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline_en.md
new file mode 100644
index 00000000000000..d6cf912118f6a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline pipeline BertForSequenceClassification from wiorz
+author: John Snow Labs
+name: bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_samoan_gen1_large_defined_summarized_chuvash_0_pipeline` is a English model originally trained by wiorz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline_en_5.5.0_3.0_1727320827783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline_en_5.5.0_3.0_1727320827783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_samoan_gen1_large_defined_summarized_chuvash_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/wiorz/bert_sm_gen1_large_defined_summarized_cv_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_sentiment_trainer_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_sentiment_trainer_en.md
new file mode 100644
index 00000000000000..834e5f7eee58cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_sentiment_trainer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sentiment_trainer BertForSequenceClassification from Artanis1551
+author: John Snow Labs
+name: bert_sentiment_trainer
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sentiment_trainer` is a English model originally trained by Artanis1551.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sentiment_trainer_en_5.5.0_3.0_1727345401384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sentiment_trainer_en_5.5.0_3.0_1727345401384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sentiment_trainer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Artanis1551/bert_sentiment_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_small_phishing_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_small_phishing_en.md
new file mode 100644
index 00000000000000..b27dcd09e1916d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_small_phishing_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_small_phishing BertForSequenceClassification from David-Egea
+author: John Snow Labs
+name: bert_small_phishing
+date: 2024-09-26
+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_small_phishing` is a English model originally trained by David-Egea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_phishing_en_5.5.0_3.0_1727357436650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_phishing_en_5.5.0_3.0_1727357436650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_phishing|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|108.0 MB|
+
+## References
+
+https://huggingface.co/David-Egea/bert-small-phishing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_small_phishing_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_small_phishing_pipeline_en.md
new file mode 100644
index 00000000000000..1fc2e8769b9a98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_small_phishing_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_small_phishing_pipeline pipeline BertForSequenceClassification from David-Egea
+author: John Snow Labs
+name: bert_small_phishing_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_small_phishing_pipeline` is a English model originally trained by David-Egea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_phishing_pipeline_en_5.5.0_3.0_1727357441982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_phishing_pipeline_en_5.5.0_3.0_1727357441982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_small_phishing_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_small_phishing_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_phishing_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|108.0 MB|
+
+## References
+
+https://huggingface.co/David-Egea/bert-small-phishing
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_spam_detection_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_spam_detection_en.md
new file mode 100644
index 00000000000000..ca4233702861d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_spam_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_spam_detection BertForSequenceClassification from surajkarki
+author: John Snow Labs
+name: bert_spam_detection
+date: 2024-09-26
+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_spam_detection` is a English model originally trained by surajkarki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_spam_detection_en_5.5.0_3.0_1727328569122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_spam_detection_en_5.5.0_3.0_1727328569122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_spam_detection|
+|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/surajkarki/bert_spam_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_spam_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_spam_detection_pipeline_en.md
new file mode 100644
index 00000000000000..efec9ebad8ebbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_spam_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_spam_detection_pipeline pipeline BertForSequenceClassification from surajkarki
+author: John Snow Labs
+name: bert_spam_detection_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_spam_detection_pipeline` is a English model originally trained by surajkarki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_spam_detection_pipeline_en_5.5.0_3.0_1727328590586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_spam_detection_pipeline_en_5.5.0_3.0_1727328590586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_spam_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_spam_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_spam_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/surajkarki/bert_spam_detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_sst2_padding0model_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_sst2_padding0model_en.md
new file mode 100644
index 00000000000000..62e76e716d64df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_sst2_padding0model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sst2_padding0model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst2_padding0model
+date: 2024-09-26
+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_sst2_padding0model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst2_padding0model_en_5.5.0_3.0_1727347333438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst2_padding0model_en_5.5.0_3.0_1727347333438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst2_padding0model|
+|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/Realgon/bert_sst2_padding0model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_sst2_padding60model_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_sst2_padding60model_en.md
new file mode 100644
index 00000000000000..5e2bd86bb7f135
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_sst2_padding60model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sst2_padding60model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst2_padding60model
+date: 2024-09-26
+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_sst2_padding60model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst2_padding60model_en_5.5.0_3.0_1727320526476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst2_padding60model_en_5.5.0_3.0_1727320526476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst2_padding60model|
+|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/Realgon/bert_sst2_padding60model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_sst2_padding60model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_sst2_padding60model_pipeline_en.md
new file mode 100644
index 00000000000000..bfb9f7c362fc2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_sst2_padding60model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_sst2_padding60model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst2_padding60model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_sst2_padding60model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst2_padding60model_pipeline_en_5.5.0_3.0_1727320547351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst2_padding60model_pipeline_en_5.5.0_3.0_1727320547351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sst2_padding60model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sst2_padding60model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst2_padding60model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/bert_sst2_padding60model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_sst5_padding100model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_sst5_padding100model_pipeline_en.md
new file mode 100644
index 00000000000000..b0c6eed39e8127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_sst5_padding100model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_sst5_padding100model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst5_padding100model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_sst5_padding100model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst5_padding100model_pipeline_en_5.5.0_3.0_1727322581010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst5_padding100model_pipeline_en_5.5.0_3.0_1727322581010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sst5_padding100model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sst5_padding100model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst5_padding100model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/bert_sst5_padding100model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_sst5_padding20model_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_sst5_padding20model_en.md
new file mode 100644
index 00000000000000..bf5f0d5cc1c4f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_sst5_padding20model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sst5_padding20model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst5_padding20model
+date: 2024-09-26
+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_sst5_padding20model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst5_padding20model_en_5.5.0_3.0_1727319336909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst5_padding20model_en_5.5.0_3.0_1727319336909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst5_padding20model|
+|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/Realgon/bert_sst5_padding20model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_sst5_padding20model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_sst5_padding20model_pipeline_en.md
new file mode 100644
index 00000000000000..560bc092add28c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_sst5_padding20model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_sst5_padding20model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_sst5_padding20model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_sst5_padding20model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sst5_padding20model_pipeline_en_5.5.0_3.0_1727319360082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sst5_padding20model_pipeline_en_5.5.0_3.0_1727319360082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_sst5_padding20model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_sst5_padding20model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst5_padding20model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/bert_sst5_padding20model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_stsb_distilled_cka_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_stsb_distilled_cka_en.md
new file mode 100644
index 00000000000000..490e1a201e1002
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_stsb_distilled_cka_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_stsb_distilled_cka BertForSequenceClassification from Sayan01
+author: John Snow Labs
+name: bert_stsb_distilled_cka
+date: 2024-09-26
+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_stsb_distilled_cka` is a English model originally trained by Sayan01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_stsb_distilled_cka_en_5.5.0_3.0_1727311533450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_stsb_distilled_cka_en_5.5.0_3.0_1727311533450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_stsb_distilled_cka|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.2 MB|
+
+## References
+
+https://huggingface.co/Sayan01/bert-stsb-distilled-cka
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_stsb_distilled_cka_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_stsb_distilled_cka_pipeline_en.md
new file mode 100644
index 00000000000000..89e38478aec8af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_stsb_distilled_cka_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_stsb_distilled_cka_pipeline pipeline BertForSequenceClassification from Sayan01
+author: John Snow Labs
+name: bert_stsb_distilled_cka_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_stsb_distilled_cka_pipeline` is a English model originally trained by Sayan01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_stsb_distilled_cka_pipeline_en_5.5.0_3.0_1727311547044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_stsb_distilled_cka_pipeline_en_5.5.0_3.0_1727311547044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_stsb_distilled_cka_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_stsb_distilled_cka_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_stsb_distilled_cka_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.2 MB|
+
+## References
+
+https://huggingface.co/Sayan01/bert-stsb-distilled-cka
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_test_benj3037_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_test_benj3037_pipeline_en.md
new file mode 100644
index 00000000000000..29c66b6e4b2447
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_test_benj3037_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_test_benj3037_pipeline pipeline BertForSequenceClassification from benj3037
+author: John Snow Labs
+name: bert_test_benj3037_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_test_benj3037_pipeline` is a English model originally trained by benj3037.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_test_benj3037_pipeline_en_5.5.0_3.0_1727317802187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_test_benj3037_pipeline_en_5.5.0_3.0_1727317802187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_test_benj3037_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_test_benj3037_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_test_benj3037_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/benj3037/bert_test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_book_text_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_book_text_classifier_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_book_text_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_tiny_book_text_classifier BertForSequenceClassification from shhossain
+author: John Snow Labs
+name: bert_tiny_book_text_classifier
+date: 2024-09-26
+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_tiny_book_text_classifier` is a English model originally trained by shhossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_book_text_classifier_en_5.5.0_3.0_1727344121611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_book_text_classifier_en_5.5.0_3.0_1727344121611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_book_text_classifier|
+|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/shhossain/bert-tiny-book-text-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_book_text_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_book_text_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..49f46be336d015
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_book_text_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_tiny_book_text_classifier_pipeline pipeline BertForSequenceClassification from shhossain
+author: John Snow Labs
+name: bert_tiny_book_text_classifier_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_tiny_book_text_classifier_pipeline` is a English model originally trained by shhossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_book_text_classifier_pipeline_en_5.5.0_3.0_1727344122786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_book_text_classifier_pipeline_en_5.5.0_3.0_1727344122786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_tiny_book_text_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_tiny_book_text_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_book_text_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/shhossain/bert-tiny-book-text-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_cognitive_bias_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_cognitive_bias_en.md
new file mode 100644
index 00000000000000..12be14fb17552d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_cognitive_bias_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_tiny_cognitive_bias BertForSequenceClassification from amedvedev
+author: John Snow Labs
+name: bert_tiny_cognitive_bias
+date: 2024-09-26
+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_tiny_cognitive_bias` is a English model originally trained by amedvedev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_cognitive_bias_en_5.5.0_3.0_1727337395775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_cognitive_bias_en_5.5.0_3.0_1727337395775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_cognitive_bias|
+|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/amedvedev/bert-tiny-cognitive-bias
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_massive_intent_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_massive_intent_en.md
new file mode 100644
index 00000000000000..f0af261bb9f10e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_massive_intent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_tiny_massive_intent BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_massive_intent
+date: 2024-09-26
+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_tiny_massive_intent` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_massive_intent_en_5.5.0_3.0_1727347965605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_massive_intent_en_5.5.0_3.0_1727347965605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_massive_intent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/BERT-tiny-Massive-intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_massive_intent_kd_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_massive_intent_kd_bert_pipeline_en.md
new file mode 100644
index 00000000000000..09860fc195b5e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_massive_intent_kd_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_tiny_massive_intent_kd_bert_pipeline pipeline BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_massive_intent_kd_bert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_tiny_massive_intent_kd_bert_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_massive_intent_kd_bert_pipeline_en_5.5.0_3.0_1727359972119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_massive_intent_kd_bert_pipeline_en_5.5.0_3.0_1727359972119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_tiny_massive_intent_kd_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_tiny_massive_intent_kd_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_massive_intent_kd_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-tiny-Massive-intent-KD-BERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_sst2_kd_bert_and_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_sst2_kd_bert_and_distilbert_en.md
new file mode 100644
index 00000000000000..68d01e750b5353
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_sst2_kd_bert_and_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_tiny_sst2_kd_bert_and_distilbert BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_sst2_kd_bert_and_distilbert
+date: 2024-09-26
+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_tiny_sst2_kd_bert_and_distilbert` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_sst2_kd_bert_and_distilbert_en_5.5.0_3.0_1727312469717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_sst2_kd_bert_and_distilbert_en_5.5.0_3.0_1727312469717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_sst2_kd_bert_and_distilbert|
+|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/gokuls/bert-tiny-sst2-KD-BERT_and_distilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_sst2_kd_bert_and_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_sst2_kd_bert_and_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..88141a7f025b8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_sst2_kd_bert_and_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_tiny_sst2_kd_bert_and_distilbert_pipeline pipeline BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_sst2_kd_bert_and_distilbert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_tiny_sst2_kd_bert_and_distilbert_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_sst2_kd_bert_and_distilbert_pipeline_en_5.5.0_3.0_1727312471037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_sst2_kd_bert_and_distilbert_pipeline_en_5.5.0_3.0_1727312471037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_tiny_sst2_kd_bert_and_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_tiny_sst2_kd_bert_and_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_sst2_kd_bert_and_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert-tiny-sst2-KD-BERT_and_distilBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_sst2_kd_bert_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_sst2_kd_bert_en.md
new file mode 100644
index 00000000000000..65a6fe8fb8ae18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_tiny_sst2_kd_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_tiny_sst2_kd_bert BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_sst2_kd_bert
+date: 2024-09-26
+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_tiny_sst2_kd_bert` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_sst2_kd_bert_en_5.5.0_3.0_1727320985958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_sst2_kd_bert_en_5.5.0_3.0_1727320985958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_twitter_portuguese_job_offer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+References
+
+https://huggingface.co/manueltonneau/bert-twitter-pt-job-offer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding70model_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding70model_en.md
new file mode 100644
index 00000000000000..e103a1b2c6dd15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding70model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_twitterfin_padding70model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_twitterfin_padding70model
+date: 2024-09-26
+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_twitterfin_padding70model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding70model_en_5.5.0_3.0_1727351959084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding70model_en_5.5.0_3.0_1727351959084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_twitterfin_padding70model|
+|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/Realgon/bert_twitterfin_padding70model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding70model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding70model_pipeline_en.md
new file mode 100644
index 00000000000000..6f972054ac8921
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding70model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_twitterfin_padding70model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_twitterfin_padding70model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_twitterfin_padding70model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding70model_pipeline_en_5.5.0_3.0_1727351983985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding70model_pipeline_en_5.5.0_3.0_1727351983985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_twitterfin_padding70model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_twitterfin_padding70model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_twitterfin_padding70model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/bert_twitterfin_padding70model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding80model_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding80model_en.md
new file mode 100644
index 00000000000000..bb3e8b8675d63f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding80model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_twitterfin_padding80model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_twitterfin_padding80model
+date: 2024-09-26
+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_twitterfin_padding80model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding80model_en_5.5.0_3.0_1727318242906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding80model_en_5.5.0_3.0_1727318242906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_twitterfin_padding80model|
+|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/Realgon/bert_twitterfin_padding80model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding80model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding80model_pipeline_en.md
new file mode 100644
index 00000000000000..52f91bb26acb40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_twitterfin_padding80model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_twitterfin_padding80model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: bert_twitterfin_padding80model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_twitterfin_padding80model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding80model_pipeline_en_5.5.0_3.0_1727318267254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_twitterfin_padding80model_pipeline_en_5.5.0_3.0_1727318267254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_twitterfin_padding80model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_twitterfin_padding80model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_twitterfin_padding80model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/bert_twitterfin_padding80model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_uncased_l_8_h_256_a_4_emotion_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_uncased_l_8_h_256_a_4_emotion_en.md
new file mode 100644
index 00000000000000..d88b9d93c1017c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_uncased_l_8_h_256_a_4_emotion_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_uncased_l_8_h_256_a_4_emotion BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_uncased_l_8_h_256_a_4_emotion
+date: 2024-09-26
+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_uncased_l_8_h_256_a_4_emotion` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_8_h_256_a_4_emotion_en_5.5.0_3.0_1727314367699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_8_h_256_a_4_emotion_en_5.5.0_3.0_1727314367699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_8_h_256_a_4_emotion|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|53.9 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_uncased_L-8_H-256_A-4_emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_uncased_l_8_h_256_a_4_emotion_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_uncased_l_8_h_256_a_4_emotion_pipeline_en.md
new file mode 100644
index 00000000000000..997224ed1614db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_uncased_l_8_h_256_a_4_emotion_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_uncased_l_8_h_256_a_4_emotion_pipeline pipeline BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_uncased_l_8_h_256_a_4_emotion_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_uncased_l_8_h_256_a_4_emotion_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_8_h_256_a_4_emotion_pipeline_en_5.5.0_3.0_1727314370521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_8_h_256_a_4_emotion_pipeline_en_5.5.0_3.0_1727314370521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_uncased_l_8_h_256_a_4_emotion_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_uncased_l_8_h_256_a_4_emotion_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_8_h_256_a_4_emotion_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|54.0 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_uncased_L-8_H-256_A-4_emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_with_preprocessing_grid_search_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_with_preprocessing_grid_search_en.md
new file mode 100644
index 00000000000000..60a374dcfbf8fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_with_preprocessing_grid_search_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_with_preprocessing_grid_search BertForSequenceClassification from LovenOO
+author: John Snow Labs
+name: bert_with_preprocessing_grid_search
+date: 2024-09-26
+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_with_preprocessing_grid_search` is a English model originally trained by LovenOO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_with_preprocessing_grid_search_en_5.5.0_3.0_1727340349423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_with_preprocessing_grid_search_en_5.5.0_3.0_1727340349423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_with_preprocessing_grid_search|
+|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/LovenOO/BERT_with_preprocessing_grid_search
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_with_preprocessing_grid_search_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_with_preprocessing_grid_search_pipeline_en.md
new file mode 100644
index 00000000000000..837c85538cecaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_with_preprocessing_grid_search_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_with_preprocessing_grid_search_pipeline pipeline BertForSequenceClassification from LovenOO
+author: John Snow Labs
+name: bert_with_preprocessing_grid_search_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_with_preprocessing_grid_search_pipeline` is a English model originally trained by LovenOO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_with_preprocessing_grid_search_pipeline_en_5.5.0_3.0_1727340370175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_with_preprocessing_grid_search_pipeline_en_5.5.0_3.0_1727340370175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_with_preprocessing_grid_search_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_with_preprocessing_grid_search_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_with_preprocessing_grid_search_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/LovenOO/BERT_with_preprocessing_grid_search
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bert_without_preprocessing_grid_search_en.md b/docs/_posts/ahmedlone127/2024-09-26-bert_without_preprocessing_grid_search_en.md
new file mode 100644
index 00000000000000..dfc5076fa3dd57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bert_without_preprocessing_grid_search_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_without_preprocessing_grid_search BertForSequenceClassification from LovenOO
+author: John Snow Labs
+name: bert_without_preprocessing_grid_search
+date: 2024-09-26
+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_without_preprocessing_grid_search` is a English model originally trained by LovenOO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_without_preprocessing_grid_search_en_5.5.0_3.0_1727346962603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_without_preprocessing_grid_search_en_5.5.0_3.0_1727346962603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_without_preprocessing_grid_search|
+|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/LovenOO/BERT_without_preprocessing_grid_search
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bertsmallclassifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bertsmallclassifier_pipeline_en.md
new file mode 100644
index 00000000000000..1a0f7c8201dfe9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bertsmallclassifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertsmallclassifier_pipeline pipeline BertForSequenceClassification from meetplace1
+author: John Snow Labs
+name: bertsmallclassifier_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`bertsmallclassifier_pipeline` is a English model originally trained by meetplace1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertsmallclassifier_pipeline_en_5.5.0_3.0_1727368693835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertsmallclassifier_pipeline_en_5.5.0_3.0_1727368693835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertsmallclassifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertsmallclassifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertsmallclassifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/meetplace1/bertsmallclassifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-berttiny_hate_speech18_bothpretrained_en.md b/docs/_posts/ahmedlone127/2024-09-26-berttiny_hate_speech18_bothpretrained_en.md
new file mode 100644
index 00000000000000..e542a710233473
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-berttiny_hate_speech18_bothpretrained_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English berttiny_hate_speech18_bothpretrained BertForSequenceClassification from joseph10
+author: John Snow Labs
+name: berttiny_hate_speech18_bothpretrained
+date: 2024-09-26
+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.`berttiny_hate_speech18_bothpretrained` is a English model originally trained by joseph10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berttiny_hate_speech18_bothpretrained_en_5.5.0_3.0_1727328238299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berttiny_hate_speech18_bothpretrained_en_5.5.0_3.0_1727328238299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berttiny_hate_speech18_bothpretrained|
+|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/joseph10/berttiny-hate_speech18-bothpretrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-berttiny_hate_speech18_bothpretrained_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-berttiny_hate_speech18_bothpretrained_pipeline_en.md
new file mode 100644
index 00000000000000..f578d5bf22e83c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-berttiny_hate_speech18_bothpretrained_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English berttiny_hate_speech18_bothpretrained_pipeline pipeline BertForSequenceClassification from joseph10
+author: John Snow Labs
+name: berttiny_hate_speech18_bothpretrained_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`berttiny_hate_speech18_bothpretrained_pipeline` is a English model originally trained by joseph10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berttiny_hate_speech18_bothpretrained_pipeline_en_5.5.0_3.0_1727328239446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berttiny_hate_speech18_bothpretrained_pipeline_en_5.5.0_3.0_1727328239446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("berttiny_hate_speech18_bothpretrained_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("berttiny_hate_speech18_bothpretrained_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berttiny_hate_speech18_bothpretrained_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/joseph10/berttiny-hate_speech18-bothpretrained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-berttiny_hatexplain_parentpretrained_en.md b/docs/_posts/ahmedlone127/2024-09-26-berttiny_hatexplain_parentpretrained_en.md
new file mode 100644
index 00000000000000..62b9df5f614258
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-berttiny_hatexplain_parentpretrained_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English berttiny_hatexplain_parentpretrained BertForSequenceClassification from joseph10
+author: John Snow Labs
+name: berttiny_hatexplain_parentpretrained
+date: 2024-09-26
+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.`berttiny_hatexplain_parentpretrained` is a English model originally trained by joseph10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berttiny_hatexplain_parentpretrained_en_5.5.0_3.0_1727317769426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berttiny_hatexplain_parentpretrained_en_5.5.0_3.0_1727317769426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berttiny_hatexplain_parentpretrained|
+|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/joseph10/berttiny-hateXplain-parentpretrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-berttiny_hatexplain_parentpretrained_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-berttiny_hatexplain_parentpretrained_pipeline_en.md
new file mode 100644
index 00000000000000..6c9841272239d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-berttiny_hatexplain_parentpretrained_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English berttiny_hatexplain_parentpretrained_pipeline pipeline BertForSequenceClassification from joseph10
+author: John Snow Labs
+name: berttiny_hatexplain_parentpretrained_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`berttiny_hatexplain_parentpretrained_pipeline` is a English model originally trained by joseph10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berttiny_hatexplain_parentpretrained_pipeline_en_5.5.0_3.0_1727317772918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berttiny_hatexplain_parentpretrained_pipeline_en_5.5.0_3.0_1727317772918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("berttiny_hatexplain_parentpretrained_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("berttiny_hatexplain_parentpretrained_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berttiny_hatexplain_parentpretrained_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/joseph10/berttiny-hateXplain-parentpretrained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-best_model_sst_2_32_87_en.md b/docs/_posts/ahmedlone127/2024-09-26-best_model_sst_2_32_87_en.md
new file mode 100644
index 00000000000000..36aee926016dbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-best_model_sst_2_32_87_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English best_model_sst_2_32_87 BertForSequenceClassification from simonycl
+author: John Snow Labs
+name: best_model_sst_2_32_87
+date: 2024-09-26
+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.`best_model_sst_2_32_87` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_model_sst_2_32_87_en_5.5.0_3.0_1727315682002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_model_sst_2_32_87_en_5.5.0_3.0_1727315682002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_emoji|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/ccarvajal/beto-emoji
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bge_large_chinese_llama3_70_en.md b/docs/_posts/ahmedlone127/2024-09-26-bge_large_chinese_llama3_70_en.md
new file mode 100644
index 00000000000000..3cf92d7d434fbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bge_large_chinese_llama3_70_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bge_large_chinese_llama3_70 BertForSequenceClassification from Snowkcon
+author: John Snow Labs
+name: bge_large_chinese_llama3_70
+date: 2024-09-26
+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.`bge_large_chinese_llama3_70` is a English model originally trained by Snowkcon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_large_chinese_llama3_70_en_5.5.0_3.0_1727315099419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_large_chinese_llama3_70_en_5.5.0_3.0_1727315099419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_large_chinese_llama3_70|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|768.4 MB|
+
+## References
+
+https://huggingface.co/Snowkcon/bge_large_zh_llama3_70
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bge_large_chinese_llama3_70_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-bge_large_chinese_llama3_70_pipeline_en.md
new file mode 100644
index 00000000000000..efbdae2e68a6c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bge_large_chinese_llama3_70_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bge_large_chinese_llama3_70_pipeline pipeline BertForSequenceClassification from Snowkcon
+author: John Snow Labs
+name: bge_large_chinese_llama3_70_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`bge_large_chinese_llama3_70_pipeline` is a English model originally trained by Snowkcon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_large_chinese_llama3_70_pipeline_en_5.5.0_3.0_1727315331932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_large_chinese_llama3_70_pipeline_en_5.5.0_3.0_1727315331932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_large_chinese_llama3_70_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_large_chinese_llama3_70_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_large_chinese_llama3_70_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|768.4 MB|
+
+## References
+
+https://huggingface.co/Snowkcon/bge_large_zh_llama3_70
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_en.md b/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_en.md
new file mode 100644
index 00000000000000..b47c933a103eb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4 BertForSequenceClassification from ys7yoo
+author: John Snow Labs
+name: binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4
+date: 2024-09-26
+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.`binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4` is a English model originally trained by ys7yoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_en_5.5.0_3.0_1727318060003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_en_5.5.0_3.0_1727318060003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/ys7yoo/binary-inference_bert-base_lr1e-03_wd1e-03_bs32_ep10_plant_fold4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline_en.md
new file mode 100644
index 00000000000000..a4f61f4815b423
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline pipeline BertForSequenceClassification from ys7yoo
+author: John Snow Labs
+name: binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline` is a English model originally trained by ys7yoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline_en_5.5.0_3.0_1727318081320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline_en_5.5.0_3.0_1727318081320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|binary_inference_bert_base_lr1e_03_wd1e_03_bs32_ep10_plant_fold4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/ys7yoo/binary-inference_bert-base_lr1e-03_wd1e-03_bs32_ep10_plant_fold4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_en.md b/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_en.md
new file mode 100644
index 00000000000000..75de5175856961
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2 BertForSequenceClassification from ys7yoo
+author: John Snow Labs
+name: binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2
+date: 2024-09-26
+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.`binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2` is a English model originally trained by ys7yoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_en_5.5.0_3.0_1727320509423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_en_5.5.0_3.0_1727320509423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/ys7yoo/binary-inference_bert-base_lr5e-06_wd1e-03_bs16_ep10_plant_fold2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline_en.md
new file mode 100644
index 00000000000000..e6424125a903a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline pipeline BertForSequenceClassification from ys7yoo
+author: John Snow Labs
+name: binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline` is a English model originally trained by ys7yoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline_en_5.5.0_3.0_1727320530687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline_en_5.5.0_3.0_1727320530687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|binary_inference_bert_base_lr5e_06_wd1e_03_bs16_ep10_plant_fold2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/ys7yoo/binary-inference_bert-base_lr5e-06_wd1e-03_bs16_ep10_plant_fold2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-bio_clinicalbert_finetuned_20pc_en.md b/docs/_posts/ahmedlone127/2024-09-26-bio_clinicalbert_finetuned_20pc_en.md
new file mode 100644
index 00000000000000..4222d982e4c4e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-bio_clinicalbert_finetuned_20pc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bio_clinicalbert_finetuned_20pc BertForSequenceClassification from okho0653
+author: John Snow Labs
+name: bio_clinicalbert_finetuned_20pc
+date: 2024-09-26
+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_finetuned_20pc` is a English model originally trained by okho0653.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_finetuned_20pc_en_5.5.0_3.0_1727369373649.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_finetuned_20pc_en_5.5.0_3.0_1727369373649.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_finetuned_20pc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/okho0653/Bio_ClinicalBERT-finetuned-20pc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-biobert_medical_abstract_classification_en.md b/docs/_posts/ahmedlone127/2024-09-26-biobert_medical_abstract_classification_en.md
new file mode 100644
index 00000000000000..116c1d4c3595fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-biobert_medical_abstract_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biobert_medical_abstract_classification BertForSequenceClassification from HarshadKunjir
+author: John Snow Labs
+name: biobert_medical_abstract_classification
+date: 2024-09-26
+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_medical_abstract_classification` is a English model originally trained by HarshadKunjir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_medical_abstract_classification_en_5.5.0_3.0_1727343674858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_medical_abstract_classification_en_5.5.0_3.0_1727343674858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_medical_abstract_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/HarshadKunjir/BioBERT_medical_abstract_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-boss_sentiment_3000_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-26-boss_sentiment_3000_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..c371c91da83aa4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-boss_sentiment_3000_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English boss_sentiment_3000_bert_base_uncased BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: boss_sentiment_3000_bert_base_uncased
+date: 2024-09-26
+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.`boss_sentiment_3000_bert_base_uncased` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boss_sentiment_3000_bert_base_uncased_en_5.5.0_3.0_1727309495849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boss_sentiment_3000_bert_base_uncased_en_5.5.0_3.0_1727309495849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boss_sentiment_3000_bert_base_uncased|
+|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/Kyle1668/boss-sentiment-3000-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-boss_sentiment_3000_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-boss_sentiment_3000_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..04d4fd76f94c26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-boss_sentiment_3000_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English boss_sentiment_3000_bert_base_uncased_pipeline pipeline BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: boss_sentiment_3000_bert_base_uncased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`boss_sentiment_3000_bert_base_uncased_pipeline` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boss_sentiment_3000_bert_base_uncased_pipeline_en_5.5.0_3.0_1727309517716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boss_sentiment_3000_bert_base_uncased_pipeline_en_5.5.0_3.0_1727309517716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("boss_sentiment_3000_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("boss_sentiment_3000_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boss_sentiment_3000_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kyle1668/boss-sentiment-3000-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-boss_sentiment_6000_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-26-boss_sentiment_6000_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..b865566cae0025
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-boss_sentiment_6000_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English boss_sentiment_6000_bert_base_uncased BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: boss_sentiment_6000_bert_base_uncased
+date: 2024-09-26
+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.`boss_sentiment_6000_bert_base_uncased` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boss_sentiment_6000_bert_base_uncased_en_5.5.0_3.0_1727361064063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boss_sentiment_6000_bert_base_uncased_en_5.5.0_3.0_1727361064063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boss_sentiment_6000_bert_base_uncased|
+|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/Kyle1668/boss-sentiment-6000-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-boss_toxicity_12000_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-26-boss_toxicity_12000_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..4c63e4687c8049
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-boss_toxicity_12000_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English boss_toxicity_12000_bert_base_uncased BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: boss_toxicity_12000_bert_base_uncased
+date: 2024-09-26
+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.`boss_toxicity_12000_bert_base_uncased` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boss_toxicity_12000_bert_base_uncased_en_5.5.0_3.0_1727339165706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boss_toxicity_12000_bert_base_uncased_en_5.5.0_3.0_1727339165706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boss_toxicity_12000_bert_base_uncased|
+|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/Kyle1668/boss-toxicity-12000-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-boss_toxicity_6000_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-boss_toxicity_6000_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..4cd307a0a56e7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-boss_toxicity_6000_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English boss_toxicity_6000_bert_base_uncased_pipeline pipeline BertForSequenceClassification from Kyle1668
+author: John Snow Labs
+name: boss_toxicity_6000_bert_base_uncased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`boss_toxicity_6000_bert_base_uncased_pipeline` is a English model originally trained by Kyle1668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boss_toxicity_6000_bert_base_uncased_pipeline_en_5.5.0_3.0_1727370823255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boss_toxicity_6000_bert_base_uncased_pipeline_en_5.5.0_3.0_1727370823255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("boss_toxicity_6000_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("boss_toxicity_6000_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boss_toxicity_6000_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kyle1668/boss-toxicity-6000-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-check_sec_tiny_en.md b/docs/_posts/ahmedlone127/2024-09-26-check_sec_tiny_en.md
new file mode 100644
index 00000000000000..017492d7df8f09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-check_sec_tiny_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English check_sec_tiny BertForSequenceClassification from huolongguo10
+author: John Snow Labs
+name: check_sec_tiny
+date: 2024-09-26
+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.`check_sec_tiny` is a English model originally trained by huolongguo10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/check_sec_tiny_en_5.5.0_3.0_1727359205906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/check_sec_tiny_en_5.5.0_3.0_1727359205906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|check_sec_tiny|
+|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/huolongguo10/check_sec_tiny
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-check_sec_tiny_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-check_sec_tiny_pipeline_en.md
new file mode 100644
index 00000000000000..425daa1389e4a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-check_sec_tiny_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English check_sec_tiny_pipeline pipeline BertForSequenceClassification from huolongguo10
+author: John Snow Labs
+name: check_sec_tiny_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_tiny_pipeline` is a English model originally trained by huolongguo10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/check_sec_tiny_pipeline_en_5.5.0_3.0_1727359207193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/check_sec_tiny_pipeline_en_5.5.0_3.0_1727359207193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("check_sec_tiny_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("check_sec_tiny_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|check_sec_tiny_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/huolongguo10/check_sec_tiny
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-chinese_roberta_climate_risk_opportunity_prediction_vv2_en.md b/docs/_posts/ahmedlone127/2024-09-26-chinese_roberta_climate_risk_opportunity_prediction_vv2_en.md
new file mode 100644
index 00000000000000..fc556bcf62c126
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-chinese_roberta_climate_risk_opportunity_prediction_vv2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chinese_roberta_climate_risk_opportunity_prediction_vv2 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: chinese_roberta_climate_risk_opportunity_prediction_vv2
+date: 2024-09-26
+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.`chinese_roberta_climate_risk_opportunity_prediction_vv2` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_climate_risk_opportunity_prediction_vv2_en_5.5.0_3.0_1727309273903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_climate_risk_opportunity_prediction_vv2_en_5.5.0_3.0_1727309273903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_climate_risk_opportunity_prediction_vv2|
+|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/hw2942/chinese-roberta-climate-risk-opportunity-prediction-vv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-chinese_roberta_wwm_ext_chnsenticorp_en.md b/docs/_posts/ahmedlone127/2024-09-26-chinese_roberta_wwm_ext_chnsenticorp_en.md
new file mode 100644
index 00000000000000..f88289965e0e9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-chinese_roberta_wwm_ext_chnsenticorp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chinese_roberta_wwm_ext_chnsenticorp BertForSequenceClassification from linfuyou
+author: John Snow Labs
+name: chinese_roberta_wwm_ext_chnsenticorp
+date: 2024-09-26
+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.`chinese_roberta_wwm_ext_chnsenticorp` is a English model originally trained by linfuyou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_chnsenticorp_en_5.5.0_3.0_1727366282245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_chnsenticorp_en_5.5.0_3.0_1727366282245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_wwm_ext_chnsenticorp|
+|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/linfuyou/chinese-roberta-wwm-ext-chnsenticorp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-citydistilledmodel_en.md b/docs/_posts/ahmedlone127/2024-09-26-citydistilledmodel_en.md
new file mode 100644
index 00000000000000..c328fc3e57c912
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-citydistilledmodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English citydistilledmodel BertForSequenceClassification from privacy-tech-lab
+author: John Snow Labs
+name: citydistilledmodel
+date: 2024-09-26
+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.`citydistilledmodel` is a English model originally trained by privacy-tech-lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/citydistilledmodel_en_5.5.0_3.0_1727339025355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/citydistilledmodel_en_5.5.0_3.0_1727339025355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|citydistilledmodel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/privacy-tech-lab/CityDistilledModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-citymodel_en.md b/docs/_posts/ahmedlone127/2024-09-26-citymodel_en.md
new file mode 100644
index 00000000000000..98a87f1ccb4678
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-citymodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English citymodel BertForSequenceClassification from privacy-tech-lab
+author: John Snow Labs
+name: citymodel
+date: 2024-09-26
+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.`citymodel` is a English model originally trained by privacy-tech-lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/citymodel_en_5.5.0_3.0_1727310280228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/citymodel_en_5.5.0_3.0_1727310280228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|citymodel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/privacy-tech-lab/CityModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-citymodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-citymodel_pipeline_en.md
new file mode 100644
index 00000000000000..cc75909a45608a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-citymodel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English citymodel_pipeline pipeline BertForSequenceClassification from privacy-tech-lab
+author: John Snow Labs
+name: citymodel_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`citymodel_pipeline` is a English model originally trained by privacy-tech-lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/citymodel_pipeline_en_5.5.0_3.0_1727310283308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/citymodel_pipeline_en_5.5.0_3.0_1727310283308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("citymodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("citymodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|citymodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/privacy-tech-lab/CityModel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ciuo08cl_4d_2024_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-ciuo08cl_4d_2024_pipeline_en.md
new file mode 100644
index 00000000000000..1e13fc1cb1b97b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ciuo08cl_4d_2024_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ciuo08cl_4d_2024_pipeline pipeline BertForSequenceClassification from SABE-SENCE
+author: John Snow Labs
+name: ciuo08cl_4d_2024_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ciuo08cl_4d_2024_pipeline` is a English model originally trained by SABE-SENCE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ciuo08cl_4d_2024_pipeline_en_5.5.0_3.0_1727367498111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ciuo08cl_4d_2024_pipeline_en_5.5.0_3.0_1727367498111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ciuo08cl_4d_2024_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ciuo08cl_4d_2024_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ciuo08cl_4d_2024_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/SABE-SENCE/CIUO08CL_4D_2024
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-clasificador_muchocine_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-clasificador_muchocine_pipeline_en.md
new file mode 100644
index 00000000000000..3992e306ff14ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-clasificador_muchocine_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clasificador_muchocine_pipeline pipeline BertForSequenceClassification from janfsalberto
+author: John Snow Labs
+name: clasificador_muchocine_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`clasificador_muchocine_pipeline` is a English model originally trained by janfsalberto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificador_muchocine_pipeline_en_5.5.0_3.0_1727366403720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificador_muchocine_pipeline_en_5.5.0_3.0_1727366403720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clasificador_muchocine_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clasificador_muchocine_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificador_muchocine_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.5 MB|
+
+## References
+
+https://huggingface.co/janfsalberto/clasificador-muchocine
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-clinicaltrialbiobert_nli4ct_en.md b/docs/_posts/ahmedlone127/2024-09-26-clinicaltrialbiobert_nli4ct_en.md
new file mode 100644
index 00000000000000..a358a03c4cbd75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-clinicaltrialbiobert_nli4ct_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clinicaltrialbiobert_nli4ct BertForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: clinicaltrialbiobert_nli4ct
+date: 2024-09-26
+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.`clinicaltrialbiobert_nli4ct` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicaltrialbiobert_nli4ct_en_5.5.0_3.0_1727316349588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicaltrialbiobert_nli4ct_en_5.5.0_3.0_1727316349588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicaltrialbiobert_nli4ct|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.0 MB|
+
+## References
+
+https://huggingface.co/domenicrosati/ClinicalTrialBioBert-NLI4CT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr19_seed0_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr19_seed0_en.md
new file mode 100644
index 00000000000000..68f90d63510b07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr19_seed0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr19_seed0 BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr19_seed0
+date: 2024-09-26
+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.`cold_fusion_bert_base_uncased_itr19_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr19_seed0_en_5.5.0_3.0_1727318534666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr19_seed0_en_5.5.0_3.0_1727318534666.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_bert_base_uncased_itr19_seed0|
+|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/ibm/ColD-Fusion-bert-base-uncased-itr19-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr19_seed0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr19_seed0_pipeline_en.md
new file mode 100644
index 00000000000000..e6d94756c027df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr19_seed0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr19_seed0_pipeline pipeline BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr19_seed0_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`cold_fusion_bert_base_uncased_itr19_seed0_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr19_seed0_pipeline_en_5.5.0_3.0_1727318556225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr19_seed0_pipeline_en_5.5.0_3.0_1727318556225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_bert_base_uncased_itr19_seed0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_bert_base_uncased_itr19_seed0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_bert_base_uncased_itr19_seed0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-bert-base-uncased-itr19-seed0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr22_seed0_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr22_seed0_en.md
new file mode 100644
index 00000000000000..5ea65ba9f714f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr22_seed0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr22_seed0 BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr22_seed0
+date: 2024-09-26
+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.`cold_fusion_bert_base_uncased_itr22_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr22_seed0_en_5.5.0_3.0_1727316211959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr22_seed0_en_5.5.0_3.0_1727316211959.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_bert_base_uncased_itr22_seed0|
+|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/ibm/ColD-Fusion-bert-base-uncased-itr22-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr26_seed0_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr26_seed0_en.md
new file mode 100644
index 00000000000000..6175bbcc7c97a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr26_seed0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr26_seed0 BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr26_seed0
+date: 2024-09-26
+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.`cold_fusion_bert_base_uncased_itr26_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr26_seed0_en_5.5.0_3.0_1727356127928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr26_seed0_en_5.5.0_3.0_1727356127928.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_bert_base_uncased_itr26_seed0|
+|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/ibm/ColD-Fusion-bert-base-uncased-itr26-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr28_seed0_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr28_seed0_en.md
new file mode 100644
index 00000000000000..fa082dfc937076
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr28_seed0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr28_seed0 BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr28_seed0
+date: 2024-09-26
+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.`cold_fusion_bert_base_uncased_itr28_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr28_seed0_en_5.5.0_3.0_1727352392506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr28_seed0_en_5.5.0_3.0_1727352392506.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_bert_base_uncased_itr28_seed0|
+|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/ibm/ColD-Fusion-bert-base-uncased-itr28-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr28_seed0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr28_seed0_pipeline_en.md
new file mode 100644
index 00000000000000..94932d3492e987
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr28_seed0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr28_seed0_pipeline pipeline BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr28_seed0_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`cold_fusion_bert_base_uncased_itr28_seed0_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr28_seed0_pipeline_en_5.5.0_3.0_1727352423097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr28_seed0_pipeline_en_5.5.0_3.0_1727352423097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_bert_base_uncased_itr28_seed0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_bert_base_uncased_itr28_seed0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_bert_base_uncased_itr28_seed0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-bert-base-uncased-itr28-seed0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr4_seed0_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr4_seed0_en.md
new file mode 100644
index 00000000000000..7afd6934afaac4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr4_seed0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr4_seed0 BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr4_seed0
+date: 2024-09-26
+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.`cold_fusion_bert_base_uncased_itr4_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr4_seed0_en_5.5.0_3.0_1727314348428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr4_seed0_en_5.5.0_3.0_1727314348428.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_bert_base_uncased_itr4_seed0|
+|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/ibm/ColD-Fusion-bert-base-uncased-itr4-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr6_seed0_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr6_seed0_en.md
new file mode 100644
index 00000000000000..f2192889ddc9be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr6_seed0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr6_seed0 BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr6_seed0
+date: 2024-09-26
+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.`cold_fusion_bert_base_uncased_itr6_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr6_seed0_en_5.5.0_3.0_1727343937613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr6_seed0_en_5.5.0_3.0_1727343937613.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_bert_base_uncased_itr6_seed0|
+|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/ibm/ColD-Fusion-bert-base-uncased-itr6-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr6_seed0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr6_seed0_pipeline_en.md
new file mode 100644
index 00000000000000..3fece1a55789a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr6_seed0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr6_seed0_pipeline pipeline BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr6_seed0_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`cold_fusion_bert_base_uncased_itr6_seed0_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr6_seed0_pipeline_en_5.5.0_3.0_1727343958908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr6_seed0_pipeline_en_5.5.0_3.0_1727343958908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_bert_base_uncased_itr6_seed0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_bert_base_uncased_itr6_seed0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_bert_base_uncased_itr6_seed0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-bert-base-uncased-itr6-seed0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr8_seed0_en.md b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr8_seed0_en.md
new file mode 100644
index 00000000000000..48221c995441f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cold_fusion_bert_base_uncased_itr8_seed0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr8_seed0 BertForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr8_seed0
+date: 2024-09-26
+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.`cold_fusion_bert_base_uncased_itr8_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr8_seed0_en_5.5.0_3.0_1727344514342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr8_seed0_en_5.5.0_3.0_1727344514342.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_bert_base_uncased_itr8_seed0|
+|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/ibm/ColD-Fusion-bert-base-uncased-itr8-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-covid_radbert_en.md b/docs/_posts/ahmedlone127/2024-09-26-covid_radbert_en.md
new file mode 100644
index 00000000000000..562063bdc587d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-covid_radbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English covid_radbert BertForSequenceClassification from StanfordAIMI
+author: John Snow Labs
+name: covid_radbert
+date: 2024-09-26
+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.`covid_radbert` is a English model originally trained by StanfordAIMI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_radbert_en_5.5.0_3.0_1727311413774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_radbert_en_5.5.0_3.0_1727311413774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_radbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|404.7 MB|
+
+## References
+
+https://huggingface.co/StanfordAIMI/covid-radbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-covid_radbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-covid_radbert_pipeline_en.md
new file mode 100644
index 00000000000000..66468ab8ffe59b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-covid_radbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English covid_radbert_pipeline pipeline BertForSequenceClassification from StanfordAIMI
+author: John Snow Labs
+name: covid_radbert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_radbert_pipeline` is a English model originally trained by StanfordAIMI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_radbert_pipeline_en_5.5.0_3.0_1727311435314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_radbert_pipeline_en_5.5.0_3.0_1727311435314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("covid_radbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("covid_radbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_radbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.8 MB|
+
+## References
+
+https://huggingface.co/StanfordAIMI/covid-radbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cross_encoder_bert_base_stsb_it.md b/docs/_posts/ahmedlone127/2024-09-26-cross_encoder_bert_base_stsb_it.md
new file mode 100644
index 00000000000000..a4f9bc235882d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cross_encoder_bert_base_stsb_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian cross_encoder_bert_base_stsb BertForSequenceClassification from efederici
+author: John Snow Labs
+name: cross_encoder_bert_base_stsb
+date: 2024-09-26
+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.`cross_encoder_bert_base_stsb` is a Italian model originally trained by efederici.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_bert_base_stsb_it_5.5.0_3.0_1727342979171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_bert_base_stsb_it_5.5.0_3.0_1727342979171.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_bert_base_stsb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/efederici/cross-encoder-bert-base-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cross_encoder_llamaindex_demo_en.md b/docs/_posts/ahmedlone127/2024-09-26-cross_encoder_llamaindex_demo_en.md
new file mode 100644
index 00000000000000..9b0e9476e36201
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cross_encoder_llamaindex_demo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cross_encoder_llamaindex_demo BertForSequenceClassification from qminh369
+author: John Snow Labs
+name: cross_encoder_llamaindex_demo
+date: 2024-09-26
+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.`cross_encoder_llamaindex_demo` is a English model originally trained by qminh369.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_llamaindex_demo_en_5.5.0_3.0_1727340852570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_llamaindex_demo_en_5.5.0_3.0_1727340852570.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_llamaindex_demo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|124.2 MB|
+
+## References
+
+https://huggingface.co/qminh369/Cross-Encoder-LLamaIndex-Demo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cross_encoder_llamaindex_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-cross_encoder_llamaindex_pipeline_en.md
new file mode 100644
index 00000000000000..b82e453211020e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cross_encoder_llamaindex_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cross_encoder_llamaindex_pipeline pipeline BertForSequenceClassification from kiay123
+author: John Snow Labs
+name: cross_encoder_llamaindex_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_llamaindex_pipeline` is a English model originally trained by kiay123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_llamaindex_pipeline_en_5.5.0_3.0_1727337394988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_llamaindex_pipeline_en_5.5.0_3.0_1727337394988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cross_encoder_llamaindex_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cross_encoder_llamaindex_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_llamaindex_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|124.2 MB|
+
+## References
+
+https://huggingface.co/kiay123/Cross-Encoder-LLamaIndex
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-crowspairs_bert_base_uncased_classifieronly_en.md b/docs/_posts/ahmedlone127/2024-09-26-crowspairs_bert_base_uncased_classifieronly_en.md
new file mode 100644
index 00000000000000..c44b6acc5957c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-crowspairs_bert_base_uncased_classifieronly_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English crowspairs_bert_base_uncased_classifieronly BertForSequenceClassification from henryscheible
+author: John Snow Labs
+name: crowspairs_bert_base_uncased_classifieronly
+date: 2024-09-26
+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.`crowspairs_bert_base_uncased_classifieronly` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/crowspairs_bert_base_uncased_classifieronly_en_5.5.0_3.0_1727320637008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/crowspairs_bert_base_uncased_classifieronly_en_5.5.0_3.0_1727320637008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|crowspairs_bert_base_uncased_classifieronly|
+|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/henryscheible/crowspairs_bert-base-uncased_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-crowspairs_bert_base_uncased_classifieronly_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-crowspairs_bert_base_uncased_classifieronly_pipeline_en.md
new file mode 100644
index 00000000000000..cef1343c4b7d03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-crowspairs_bert_base_uncased_classifieronly_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English crowspairs_bert_base_uncased_classifieronly_pipeline pipeline BertForSequenceClassification from henryscheible
+author: John Snow Labs
+name: crowspairs_bert_base_uncased_classifieronly_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`crowspairs_bert_base_uncased_classifieronly_pipeline` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/crowspairs_bert_base_uncased_classifieronly_pipeline_en_5.5.0_3.0_1727320658543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/crowspairs_bert_base_uncased_classifieronly_pipeline_en_5.5.0_3.0_1727320658543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("crowspairs_bert_base_uncased_classifieronly_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("crowspairs_bert_base_uncased_classifieronly_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|crowspairs_bert_base_uncased_classifieronly_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/henryscheible/crowspairs_bert-base-uncased_classifieronly
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cs431_camera_coqe_csi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-cs431_camera_coqe_csi_pipeline_en.md
new file mode 100644
index 00000000000000..202ec53e68e017
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cs431_camera_coqe_csi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cs431_camera_coqe_csi_pipeline pipeline BertForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: cs431_camera_coqe_csi_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`cs431_camera_coqe_csi_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cs431_camera_coqe_csi_pipeline_en_5.5.0_3.0_1727355208870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cs431_camera_coqe_csi_pipeline_en_5.5.0_3.0_1727355208870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cs431_camera_coqe_csi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cs431_camera_coqe_csi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cs431_camera_coqe_csi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/CS431_Camera-COQE_CSI
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-cs431_camera_coqe_csi_v4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-cs431_camera_coqe_csi_v4_pipeline_en.md
new file mode 100644
index 00000000000000..239a09ddbf2539
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-cs431_camera_coqe_csi_v4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cs431_camera_coqe_csi_v4_pipeline pipeline BertForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: cs431_camera_coqe_csi_v4_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`cs431_camera_coqe_csi_v4_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cs431_camera_coqe_csi_v4_pipeline_en_5.5.0_3.0_1727343897302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cs431_camera_coqe_csi_v4_pipeline_en_5.5.0_3.0_1727343897302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cs431_camera_coqe_csi_v4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cs431_camera_coqe_csi_v4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cs431_camera_coqe_csi_v4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/CS431_Camera-COQE_CSI_v4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-danish_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-danish_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..572386daf7f259
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-danish_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English danish_sentiment_pipeline pipeline BertForSequenceClassification from mirfan899
+author: John Snow Labs
+name: danish_sentiment_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`danish_sentiment_pipeline` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_sentiment_pipeline_en_5.5.0_3.0_1727342321447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_sentiment_pipeline_en_5.5.0_3.0_1727342321447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("danish_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("danish_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/mirfan899/da-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_100_f_en.md b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_100_f_en.md
new file mode 100644
index 00000000000000..3d16514c26a157
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_100_f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dbpedia_classes_bert_base_uncased_few_100_f BertForSequenceClassification from TheChickenAgent
+author: John Snow Labs
+name: dbpedia_classes_bert_base_uncased_few_100_f
+date: 2024-09-26
+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.`dbpedia_classes_bert_base_uncased_few_100_f` is a English model originally trained by TheChickenAgent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_100_f_en_5.5.0_3.0_1727356299488.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_100_f_en_5.5.0_3.0_1727356299488.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbpedia_classes_bert_base_uncased_few_100_f|
+|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/TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-100-F
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_100_f_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_100_f_pipeline_en.md
new file mode 100644
index 00000000000000..0bc66db745ef78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_100_f_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dbpedia_classes_bert_base_uncased_few_100_f_pipeline pipeline BertForSequenceClassification from TheChickenAgent
+author: John Snow Labs
+name: dbpedia_classes_bert_base_uncased_few_100_f_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`dbpedia_classes_bert_base_uncased_few_100_f_pipeline` is a English model originally trained by TheChickenAgent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_100_f_pipeline_en_5.5.0_3.0_1727356320158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_100_f_pipeline_en_5.5.0_3.0_1727356320158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dbpedia_classes_bert_base_uncased_few_100_f_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dbpedia_classes_bert_base_uncased_few_100_f_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbpedia_classes_bert_base_uncased_few_100_f_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-100-F
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_baseline_en.md b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_baseline_en.md
new file mode 100644
index 00000000000000..c8030ab335b1a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_baseline_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dbpedia_classes_bert_base_uncased_few_20_baseline BertForSequenceClassification from TheChickenAgent
+author: John Snow Labs
+name: dbpedia_classes_bert_base_uncased_few_20_baseline
+date: 2024-09-26
+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.`dbpedia_classes_bert_base_uncased_few_20_baseline` is a English model originally trained by TheChickenAgent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_baseline_en_5.5.0_3.0_1727321917925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_baseline_en_5.5.0_3.0_1727321917925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbpedia_classes_bert_base_uncased_few_20_baseline|
+|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/TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-20-baseline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline_en.md
new file mode 100644
index 00000000000000..5ba394b06e5054
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline pipeline BertForSequenceClassification from TheChickenAgent
+author: John Snow Labs
+name: dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline` is a English model originally trained by TheChickenAgent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline_en_5.5.0_3.0_1727321938787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline_en_5.5.0_3.0_1727321938787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-20-baseline
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_f_en.md b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_f_en.md
new file mode 100644
index 00000000000000..61cb2150501993
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dbpedia_classes_bert_base_uncased_few_20_f BertForSequenceClassification from TheChickenAgent
+author: John Snow Labs
+name: dbpedia_classes_bert_base_uncased_few_20_f
+date: 2024-09-26
+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.`dbpedia_classes_bert_base_uncased_few_20_f` is a English model originally trained by TheChickenAgent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_f_en_5.5.0_3.0_1727321570096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_f_en_5.5.0_3.0_1727321570096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbpedia_classes_bert_base_uncased_few_20_f|
+|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/TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-20-F
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_f_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_f_pipeline_en.md
new file mode 100644
index 00000000000000..e6dd655129d802
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-dbpedia_classes_bert_base_uncased_few_20_f_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dbpedia_classes_bert_base_uncased_few_20_f_pipeline pipeline BertForSequenceClassification from TheChickenAgent
+author: John Snow Labs
+name: dbpedia_classes_bert_base_uncased_few_20_f_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`dbpedia_classes_bert_base_uncased_few_20_f_pipeline` is a English model originally trained by TheChickenAgent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_f_pipeline_en_5.5.0_3.0_1727321590991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbpedia_classes_bert_base_uncased_few_20_f_pipeline_en_5.5.0_3.0_1727321590991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dbpedia_classes_bert_base_uncased_few_20_f_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dbpedia_classes_bert_base_uncased_few_20_f_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbpedia_classes_bert_base_uncased_few_20_f_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/TheChickenAgent/DBPedia_Classes_BERT-base-uncased-few-20-F
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-decipher_the_code_explainer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-decipher_the_code_explainer_pipeline_en.md
new file mode 100644
index 00000000000000..0f1170cd388506
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-decipher_the_code_explainer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English decipher_the_code_explainer_pipeline pipeline BertForSequenceClassification from tharun1507
+author: John Snow Labs
+name: decipher_the_code_explainer_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`decipher_the_code_explainer_pipeline` is a English model originally trained by tharun1507.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/decipher_the_code_explainer_pipeline_en_5.5.0_3.0_1727328434652.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/decipher_the_code_explainer_pipeline_en_5.5.0_3.0_1727328434652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("decipher_the_code_explainer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("decipher_the_code_explainer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|decipher_the_code_explainer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tharun1507/Decipher-the_code_explainer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-depression_ai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-depression_ai_pipeline_en.md
new file mode 100644
index 00000000000000..8c5c1a52ab28fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-depression_ai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English depression_ai_pipeline pipeline BertForSequenceClassification from PranjalSingh01
+author: John Snow Labs
+name: depression_ai_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`depression_ai_pipeline` is a English model originally trained by PranjalSingh01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_ai_pipeline_en_5.5.0_3.0_1727352575109.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_ai_pipeline_en_5.5.0_3.0_1727352575109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("depression_ai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("depression_ai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|depression_ai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/PranjalSingh01/depression-ai
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-depression_and_non_depression_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-26-depression_and_non_depression_classifier_en.md
new file mode 100644
index 00000000000000..7f1d8f0930d21d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-depression_and_non_depression_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English depression_and_non_depression_classifier BertForSequenceClassification from poudel
+author: John Snow Labs
+name: depression_and_non_depression_classifier
+date: 2024-09-26
+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.`depression_and_non_depression_classifier` is a English model originally trained by poudel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_and_non_depression_classifier_en_5.5.0_3.0_1727361220669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_and_non_depression_classifier_en_5.5.0_3.0_1727361220669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|depression_and_non_depression_classifier|
+|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/poudel/Depression_and_Non-Depression_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-depression_and_non_depression_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-depression_and_non_depression_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..f1259d9e6654bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-depression_and_non_depression_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English depression_and_non_depression_classifier_pipeline pipeline BertForSequenceClassification from poudel
+author: John Snow Labs
+name: depression_and_non_depression_classifier_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`depression_and_non_depression_classifier_pipeline` is a English model originally trained by poudel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_and_non_depression_classifier_pipeline_en_5.5.0_3.0_1727361241807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_and_non_depression_classifier_pipeline_en_5.5.0_3.0_1727361241807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("depression_and_non_depression_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("depression_and_non_depression_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|depression_and_non_depression_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/poudel/Depression_and_Non-Depression_Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-dialogue_en.md b/docs/_posts/ahmedlone127/2024-09-26-dialogue_en.md
new file mode 100644
index 00000000000000..36f380e341bc5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-dialogue_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dialogue BertForSequenceClassification from SharonTudi
+author: John Snow Labs
+name: dialogue
+date: 2024-09-26
+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.`dialogue` is a English model originally trained by SharonTudi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialogue_en_5.5.0_3.0_1727315263268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialogue_en_5.5.0_3.0_1727315263268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialogue|
+|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/SharonTudi/DIALOGUE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-dialogue_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-dialogue_pipeline_en.md
new file mode 100644
index 00000000000000..e9ac90184285e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-dialogue_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dialogue_pipeline pipeline BertForSequenceClassification from SharonTudi
+author: John Snow Labs
+name: dialogue_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`dialogue_pipeline` is a English model originally trained by SharonTudi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialogue_pipeline_en_5.5.0_3.0_1727315285222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialogue_pipeline_en_5.5.0_3.0_1727315285222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dialogue_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dialogue_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialogue_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/SharonTudi/DIALOGUE
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-disease_classifier_base_en.md b/docs/_posts/ahmedlone127/2024-09-26-disease_classifier_base_en.md
new file mode 100644
index 00000000000000..7e183599315f35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-disease_classifier_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English disease_classifier_base BertForSequenceClassification from shanover
+author: John Snow Labs
+name: disease_classifier_base
+date: 2024-09-26
+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.`disease_classifier_base` is a English model originally trained by shanover.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disease_classifier_base_en_5.5.0_3.0_1727353091812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disease_classifier_base_en_5.5.0_3.0_1727353091812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|disease_classifier_base|
+|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/shanover/disease_classifier_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-distilbert_base_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-26-distilbert_base_sst2_en.md
new file mode 100644
index 00000000000000..590ced6802dbff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-distilbert_base_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_sst2 BertForSequenceClassification from Vishnou
+author: John Snow Labs
+name: distilbert_base_sst2
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_sst2` is a English model originally trained by Vishnou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_sst2_en_5.5.0_3.0_1727357400968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_sst2_en_5.5.0_3.0_1727357400968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/Vishnou/distilbert_base_SST2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-distilbert_base_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-distilbert_base_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..17d5e5fd9f5827
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-distilbert_base_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_sst2_pipeline pipeline BertForSequenceClassification from Vishnou
+author: John Snow Labs
+name: distilbert_base_sst2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_sst2_pipeline` is a English model originally trained by Vishnou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_sst2_pipeline_en_5.5.0_3.0_1727357404304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_sst2_pipeline_en_5.5.0_3.0_1727357404304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/Vishnou/distilbert_base_SST2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-distilbert_base_uncased_finetuned_irony_en.md b/docs/_posts/ahmedlone127/2024-09-26-distilbert_base_uncased_finetuned_irony_en.md
new file mode 100644
index 00000000000000..cb862bb56d0b49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-distilbert_base_uncased_finetuned_irony_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_irony BertForSequenceClassification from niktasadr98
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_irony
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_irony` is a English model originally trained by niktasadr98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_irony_en_5.5.0_3.0_1727329337408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_irony_en_5.5.0_3.0_1727329337408.zip){:.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_irony|
+|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/niktasadr98/distilbert-base-uncased-finetuned-irony
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-distilbert_hate_speech18_en.md b/docs/_posts/ahmedlone127/2024-09-26-distilbert_hate_speech18_en.md
new file mode 100644
index 00000000000000..2bb501ce0ce383
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-distilbert_hate_speech18_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_hate_speech18 BertForSequenceClassification from joseph10
+author: John Snow Labs
+name: distilbert_hate_speech18
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_hate_speech18` is a English model originally trained by joseph10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_hate_speech18_en_5.5.0_3.0_1727330287493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_hate_speech18_en_5.5.0_3.0_1727330287493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_hate_speech18|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/joseph10/distilbert-hate_speech18
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-distilbert_hate_speech18_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-distilbert_hate_speech18_pipeline_en.md
new file mode 100644
index 00000000000000..b9aafca18bc4ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-distilbert_hate_speech18_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_hate_speech18_pipeline pipeline BertForSequenceClassification from joseph10
+author: John Snow Labs
+name: distilbert_hate_speech18_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_hate_speech18_pipeline` is a English model originally trained by joseph10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_hate_speech18_pipeline_en_5.5.0_3.0_1727330309008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_hate_speech18_pipeline_en_5.5.0_3.0_1727330309008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_hate_speech18_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_hate_speech18_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_hate_speech18_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/joseph10/distilbert-hate_speech18
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-emb_crossenc_msmarco_teacher_3_bert_large_wwm_en.md b/docs/_posts/ahmedlone127/2024-09-26-emb_crossenc_msmarco_teacher_3_bert_large_wwm_en.md
new file mode 100644
index 00000000000000..56ce4d5565740a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-emb_crossenc_msmarco_teacher_3_bert_large_wwm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emb_crossenc_msmarco_teacher_3_bert_large_wwm BertForSequenceClassification from nishantyadav
+author: John Snow Labs
+name: emb_crossenc_msmarco_teacher_3_bert_large_wwm
+date: 2024-09-26
+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.`emb_crossenc_msmarco_teacher_3_bert_large_wwm` is a English model originally trained by nishantyadav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emb_crossenc_msmarco_teacher_3_bert_large_wwm_en_5.5.0_3.0_1727322110882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emb_crossenc_msmarco_teacher_3_bert_large_wwm_en_5.5.0_3.0_1727322110882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emb_crossenc_msmarco_teacher_3_bert_large_wwm|
+|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/nishantyadav/emb_crossenc_msmarco_teacher_3_bert_large_wwm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-emoberttamil_en.md b/docs/_posts/ahmedlone127/2024-09-26-emoberttamil_en.md
new file mode 100644
index 00000000000000..750054f24396e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-emoberttamil_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emoberttamil BertForSequenceClassification from DeadBeast
+author: John Snow Labs
+name: emoberttamil
+date: 2024-09-26
+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.`emoberttamil` is a English model originally trained by DeadBeast.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoberttamil_en_5.5.0_3.0_1727335183048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoberttamil_en_5.5.0_3.0_1727335183048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoberttamil|
+|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/DeadBeast/emoBERTTamil
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-emoberttamil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-emoberttamil_pipeline_en.md
new file mode 100644
index 00000000000000..c3f5b92b4973f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-emoberttamil_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emoberttamil_pipeline pipeline BertForSequenceClassification from DeadBeast
+author: John Snow Labs
+name: emoberttamil_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`emoberttamil_pipeline` is a English model originally trained by DeadBeast.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoberttamil_pipeline_en_5.5.0_3.0_1727335204714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoberttamil_pipeline_en_5.5.0_3.0_1727335204714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emoberttamil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emoberttamil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoberttamil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/DeadBeast/emoBERTTamil
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-english_astitchtask1a_bertbasecased_truefalse_0_4_best_en.md b/docs/_posts/ahmedlone127/2024-09-26-english_astitchtask1a_bertbasecased_truefalse_0_4_best_en.md
new file mode 100644
index 00000000000000..e17d6680671d4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-english_astitchtask1a_bertbasecased_truefalse_0_4_best_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English english_astitchtask1a_bertbasecased_truefalse_0_4_best BertForSequenceClassification from harish
+author: John Snow Labs
+name: english_astitchtask1a_bertbasecased_truefalse_0_4_best
+date: 2024-09-26
+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.`english_astitchtask1a_bertbasecased_truefalse_0_4_best` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_truefalse_0_4_best_en_5.5.0_3.0_1727310127577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_truefalse_0_4_best_en_5.5.0_3.0_1727310127577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_astitchtask1a_bertbasecased_truefalse_0_4_best|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/harish/EN-AStitchTask1A-BERTBaseCased-TrueFalse-0-4-BEST
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline_en.md
new file mode 100644
index 00000000000000..769addd17c8a52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline pipeline BertForSequenceClassification from harish
+author: John Snow Labs
+name: english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline_en_5.5.0_3.0_1727310148259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline_en_5.5.0_3.0_1727310148259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_astitchtask1a_bertbasecased_truefalse_0_4_best_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/harish/EN-AStitchTask1A-BERTBaseCased-TrueFalse-0-4-BEST
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline_en.md
new file mode 100644
index 00000000000000..7f6fe239ead3f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline pipeline BertForSequenceClassification from harish
+author: John Snow Labs
+name: english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline_en_5.5.0_3.0_1727343465451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline_en_5.5.0_3.0_1727343465451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/harish/EN-AStitchTask1A-BERTBaseCased-TrueTrue-0-3-BEST
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-english_bert_base_multilingual_uncased_sentiment_run2_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-26-english_bert_base_multilingual_uncased_sentiment_run2_pipeline_xx.md
new file mode 100644
index 00000000000000..aacf6497799bc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-english_bert_base_multilingual_uncased_sentiment_run2_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual english_bert_base_multilingual_uncased_sentiment_run2_pipeline pipeline BertForSequenceClassification from gunkaynar
+author: John Snow Labs
+name: english_bert_base_multilingual_uncased_sentiment_run2_pipeline
+date: 2024-09-26
+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.`english_bert_base_multilingual_uncased_sentiment_run2_pipeline` is a Multilingual model originally trained by gunkaynar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_bert_base_multilingual_uncased_sentiment_run2_pipeline_xx_5.5.0_3.0_1727309277059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_bert_base_multilingual_uncased_sentiment_run2_pipeline_xx_5.5.0_3.0_1727309277059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("english_bert_base_multilingual_uncased_sentiment_run2_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("english_bert_base_multilingual_uncased_sentiment_run2_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_bert_base_multilingual_uncased_sentiment_run2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/gunkaynar/en-bert-base-multilingual-uncased-sentiment_run2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-english_bert_base_multilingual_uncased_sentiment_run2_xx.md b/docs/_posts/ahmedlone127/2024-09-26-english_bert_base_multilingual_uncased_sentiment_run2_xx.md
new file mode 100644
index 00000000000000..86b60f29c564b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-english_bert_base_multilingual_uncased_sentiment_run2_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual english_bert_base_multilingual_uncased_sentiment_run2 BertForSequenceClassification from gunkaynar
+author: John Snow Labs
+name: english_bert_base_multilingual_uncased_sentiment_run2
+date: 2024-09-26
+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.`english_bert_base_multilingual_uncased_sentiment_run2` is a Multilingual model originally trained by gunkaynar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_bert_base_multilingual_uncased_sentiment_run2_xx_5.5.0_3.0_1727309242935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_bert_base_multilingual_uncased_sentiment_run2_xx_5.5.0_3.0_1727309242935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_bert_base_multilingual_uncased_sentiment_run2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/gunkaynar/en-bert-base-multilingual-uncased-sentiment_run2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-epiclassify4gard_en.md b/docs/_posts/ahmedlone127/2024-09-26-epiclassify4gard_en.md
new file mode 100644
index 00000000000000..b39a06724074f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-epiclassify4gard_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English epiclassify4gard BertForSequenceClassification from ncats
+author: John Snow Labs
+name: epiclassify4gard
+date: 2024-09-26
+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.`epiclassify4gard` is a English model originally trained by ncats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/epiclassify4gard_en_5.5.0_3.0_1727310309752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/epiclassify4gard_en_5.5.0_3.0_1727310309752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|epiclassify4gard|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ncats/EpiClassify4GARD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fake_news_bert_base_spanish_wwm_cased_jorgeortizfuentes_en.md b/docs/_posts/ahmedlone127/2024-09-26-fake_news_bert_base_spanish_wwm_cased_jorgeortizfuentes_en.md
new file mode 100644
index 00000000000000..d9d20e43a5a8b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fake_news_bert_base_spanish_wwm_cased_jorgeortizfuentes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fake_news_bert_base_spanish_wwm_cased_jorgeortizfuentes BertForSequenceClassification from jorgeortizfuentes
+author: John Snow Labs
+name: fake_news_bert_base_spanish_wwm_cased_jorgeortizfuentes
+date: 2024-09-26
+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.`fake_news_bert_base_spanish_wwm_cased_jorgeortizfuentes` is a English model originally trained by jorgeortizfuentes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_bert_base_spanish_wwm_cased_jorgeortizfuentes_en_5.5.0_3.0_1727342283160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_bert_base_spanish_wwm_cased_jorgeortizfuentes_en_5.5.0_3.0_1727342283160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_bert_base_spanish_wwm_cased_jorgeortizfuentes|
+|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/jorgeortizfuentes/fake-news-bert-base-spanish-wwm-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_base_cased_arjun24420_en.md b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_base_cased_arjun24420_en.md
new file mode 100644
index 00000000000000..5398aaddd4a059
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_base_cased_arjun24420_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fakenews_bert_base_cased_arjun24420 BertForSequenceClassification from Arjun24420
+author: John Snow Labs
+name: fakenews_bert_base_cased_arjun24420
+date: 2024-09-26
+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.`fakenews_bert_base_cased_arjun24420` is a English model originally trained by Arjun24420.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_arjun24420_en_5.5.0_3.0_1727349551209.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_arjun24420_en_5.5.0_3.0_1727349551209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_bert_base_cased_arjun24420|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Arjun24420/FakeNews-BERT-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_base_cased_arjun24420_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_base_cased_arjun24420_pipeline_en.md
new file mode 100644
index 00000000000000..92637fb15f6d7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_base_cased_arjun24420_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fakenews_bert_base_cased_arjun24420_pipeline pipeline BertForSequenceClassification from Arjun24420
+author: John Snow Labs
+name: fakenews_bert_base_cased_arjun24420_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`fakenews_bert_base_cased_arjun24420_pipeline` is a English model originally trained by Arjun24420.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_arjun24420_pipeline_en_5.5.0_3.0_1727349572603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_arjun24420_pipeline_en_5.5.0_3.0_1727349572603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fakenews_bert_base_cased_arjun24420_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fakenews_bert_base_cased_arjun24420_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_bert_base_cased_arjun24420_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Arjun24420/FakeNews-BERT-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_base_cased_punct_en.md b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_base_cased_punct_en.md
new file mode 100644
index 00000000000000..c192c0733d41bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_base_cased_punct_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fakenews_bert_base_cased_punct BertForSequenceClassification from Denyol
+author: John Snow Labs
+name: fakenews_bert_base_cased_punct
+date: 2024-09-26
+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.`fakenews_bert_base_cased_punct` is a English model originally trained by Denyol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_punct_en_5.5.0_3.0_1727351613761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_bert_base_cased_punct_en_5.5.0_3.0_1727351613761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_bert_base_cased_punct|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Denyol/FakeNews-bert-base-cased-punct
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_large_cased_grad_en.md b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_large_cased_grad_en.md
new file mode 100644
index 00000000000000..09318d1c2fbfc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_large_cased_grad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fakenews_bert_large_cased_grad BertForSequenceClassification from Denyol
+author: John Snow Labs
+name: fakenews_bert_large_cased_grad
+date: 2024-09-26
+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.`fakenews_bert_large_cased_grad` is a English model originally trained by Denyol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_bert_large_cased_grad_en_5.5.0_3.0_1727312642070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_bert_large_cased_grad_en_5.5.0_3.0_1727312642070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_bert_large_cased_grad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Denyol/FakeNews-bert-large-cased-grad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_large_cased_grad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_large_cased_grad_pipeline_en.md
new file mode 100644
index 00000000000000..146d74a32c3b3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fakenews_bert_large_cased_grad_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fakenews_bert_large_cased_grad_pipeline pipeline BertForSequenceClassification from Denyol
+author: John Snow Labs
+name: fakenews_bert_large_cased_grad_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`fakenews_bert_large_cased_grad_pipeline` is a English model originally trained by Denyol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_bert_large_cased_grad_pipeline_en_5.5.0_3.0_1727312708035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_bert_large_cased_grad_pipeline_en_5.5.0_3.0_1727312708035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fakenews_bert_large_cased_grad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fakenews_bert_large_cased_grad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_bert_large_cased_grad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/Denyol/FakeNews-bert-large-cased-grad
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fieldclassifier_en.md b/docs/_posts/ahmedlone127/2024-09-26-fieldclassifier_en.md
new file mode 100644
index 00000000000000..882edf20e8df18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fieldclassifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fieldclassifier BertForSequenceClassification from CleveGreen
+author: John Snow Labs
+name: fieldclassifier
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fieldclassifier` is a English model originally trained by CleveGreen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fieldclassifier_en_5.5.0_3.0_1727313944499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fieldclassifier_en_5.5.0_3.0_1727313944499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fieldclassifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/CleveGreen/FieldClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fieldclassifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-fieldclassifier_pipeline_en.md
new file mode 100644
index 00000000000000..0f2d03ca4b809d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fieldclassifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fieldclassifier_pipeline pipeline BertForSequenceClassification from CleveGreen
+author: John Snow Labs
+name: fieldclassifier_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fieldclassifier_pipeline` is a English model originally trained by CleveGreen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fieldclassifier_pipeline_en_5.5.0_3.0_1727313965786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fieldclassifier_pipeline_en_5.5.0_3.0_1727313965786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fieldclassifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fieldclassifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fieldclassifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/CleveGreen/FieldClassifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-final_project_finetuned_bert_base_multilingual_cased_french_xx.md b/docs/_posts/ahmedlone127/2024-09-26-final_project_finetuned_bert_base_multilingual_cased_french_xx.md
new file mode 100644
index 00000000000000..4cc0d897ef8500
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-final_project_finetuned_bert_base_multilingual_cased_french_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual final_project_finetuned_bert_base_multilingual_cased_french BertForSequenceClassification from Worgu
+author: John Snow Labs
+name: final_project_finetuned_bert_base_multilingual_cased_french
+date: 2024-09-26
+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.`final_project_finetuned_bert_base_multilingual_cased_french` is a Multilingual model originally trained by Worgu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_project_finetuned_bert_base_multilingual_cased_french_xx_5.5.0_3.0_1727351248435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_project_finetuned_bert_base_multilingual_cased_french_xx_5.5.0_3.0_1727351248435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_project_finetuned_bert_base_multilingual_cased_french|
+|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/Worgu/Final_Project_finetuned_bert-base-multilingual-cased_french
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finbert_sentiment_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-finbert_sentiment_v1_pipeline_en.md
new file mode 100644
index 00000000000000..aa8089335020e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finbert_sentiment_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finbert_sentiment_v1_pipeline pipeline BertForSequenceClassification from rifatozkurt
+author: John Snow Labs
+name: finbert_sentiment_v1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finbert_sentiment_v1_pipeline` is a English model originally trained by rifatozkurt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_sentiment_v1_pipeline_en_5.5.0_3.0_1727352244802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_sentiment_v1_pipeline_en_5.5.0_3.0_1727352244802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finbert_sentiment_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finbert_sentiment_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_sentiment_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/rifatozkurt/finbert-sentiment-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bert_base_cased_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bert_base_cased_sentiment_analysis_en.md
new file mode 100644
index 00000000000000..693d004b2e6076
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bert_base_cased_sentiment_analysis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_bert_base_cased_sentiment_analysis BertForSequenceClassification from Mawulom
+author: John Snow Labs
+name: fine_tuned_bert_base_cased_sentiment_analysis
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bert_base_cased_sentiment_analysis` is a English model originally trained by Mawulom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_base_cased_sentiment_analysis_en_5.5.0_3.0_1727347616583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_base_cased_sentiment_analysis_en_5.5.0_3.0_1727347616583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bert_base_cased_sentiment_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Mawulom/Fine-Tuned-Bert_Base_Cased_Sentiment_Analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bert_base_uncased_theknight115_en.md b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bert_base_uncased_theknight115_en.md
new file mode 100644
index 00000000000000..b65d4daa148310
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bert_base_uncased_theknight115_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_bert_base_uncased_theknight115 BertForSequenceClassification from TheKnight115
+author: John Snow Labs
+name: fine_tuned_bert_base_uncased_theknight115
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bert_base_uncased_theknight115` is a English model originally trained by TheKnight115.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_base_uncased_theknight115_en_5.5.0_3.0_1727370206483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_base_uncased_theknight115_en_5.5.0_3.0_1727370206483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bert_base_uncased_theknight115|
+|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/TheKnight115/fine-tuned-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bert_large_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bert_large_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..cb840a33f60b34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bert_large_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_bert_large_uncased_pipeline pipeline BertForSequenceClassification from Mawulom
+author: John Snow Labs
+name: fine_tuned_bert_large_uncased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bert_large_uncased_pipeline` is a English model originally trained by Mawulom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_large_uncased_pipeline_en_5.5.0_3.0_1727308839803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_large_uncased_pipeline_en_5.5.0_3.0_1727308839803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_bert_large_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_bert_large_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bert_large_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Mawulom/Fine-Tuned-Bert-Large-Uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bertforsequenceclassification_en.md b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bertforsequenceclassification_en.md
new file mode 100644
index 00000000000000..826085a2ceebd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bertforsequenceclassification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_bertforsequenceclassification BertForSequenceClassification from nish700
+author: John Snow Labs
+name: fine_tuned_bertforsequenceclassification
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bertforsequenceclassification` is a English model originally trained by nish700.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bertforsequenceclassification_en_5.5.0_3.0_1727309446049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bertforsequenceclassification_en_5.5.0_3.0_1727309446049.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_bertforsequenceclassification|
+|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/nish700/fine-tuned-BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bertforsequenceclassification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bertforsequenceclassification_pipeline_en.md
new file mode 100644
index 00000000000000..bf6fb11f91c4cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-fine_tuned_bertforsequenceclassification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_bertforsequenceclassification_pipeline pipeline BertForSequenceClassification from nish700
+author: John Snow Labs
+name: fine_tuned_bertforsequenceclassification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bertforsequenceclassification_pipeline` is a English model originally trained by nish700.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bertforsequenceclassification_pipeline_en_5.5.0_3.0_1727309467895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bertforsequenceclassification_pipeline_en_5.5.0_3.0_1727309467895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_bertforsequenceclassification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_bertforsequenceclassification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bertforsequenceclassification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nish700/fine-tuned-BertForSequenceClassification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuned_bert_base_german_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuned_bert_base_german_cased_pipeline_en.md
new file mode 100644
index 00000000000000..04c41737f9ab0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuned_bert_base_german_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_bert_base_german_cased_pipeline pipeline BertForSequenceClassification from CodeWithSwap01
+author: John Snow Labs
+name: finetuned_bert_base_german_cased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuned_bert_base_german_cased_pipeline` is a English model originally trained by CodeWithSwap01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_german_cased_pipeline_en_5.5.0_3.0_1727341781288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_german_cased_pipeline_en_5.5.0_3.0_1727341781288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_bert_base_german_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_bert_base_german_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_base_german_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/CodeWithSwap01/finetuned-bert-base-german-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuned_bert_base_on_iemocap_2_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuned_bert_base_on_iemocap_2_en.md
new file mode 100644
index 00000000000000..56a31c2863b869
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuned_bert_base_on_iemocap_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_bert_base_on_iemocap_2 BertForSequenceClassification from minoosh
+author: John Snow Labs
+name: finetuned_bert_base_on_iemocap_2
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_base_on_iemocap_2` is a English model originally trained by minoosh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_iemocap_2_en_5.5.0_3.0_1727349573567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_iemocap_2_en_5.5.0_3.0_1727349573567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_base_on_iemocap_2|
+|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/minoosh/finetuned_bert-base-on-IEMOCAP_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuned_bert_base_on_iemocap_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuned_bert_base_on_iemocap_2_pipeline_en.md
new file mode 100644
index 00000000000000..a9aac90a4922af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuned_bert_base_on_iemocap_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_bert_base_on_iemocap_2_pipeline pipeline BertForSequenceClassification from minoosh
+author: John Snow Labs
+name: finetuned_bert_base_on_iemocap_2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuned_bert_base_on_iemocap_2_pipeline` is a English model originally trained by minoosh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_iemocap_2_pipeline_en_5.5.0_3.0_1727349600179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_iemocap_2_pipeline_en_5.5.0_3.0_1727349600179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_bert_base_on_iemocap_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_bert_base_on_iemocap_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_base_on_iemocap_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/minoosh/finetuned_bert-base-on-IEMOCAP_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuned_marbert_arabic_emotional_analysis_ar.md b/docs/_posts/ahmedlone127/2024-09-26-finetuned_marbert_arabic_emotional_analysis_ar.md
new file mode 100644
index 00000000000000..9a6c7560d1cbed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuned_marbert_arabic_emotional_analysis_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic finetuned_marbert_arabic_emotional_analysis BertForSequenceClassification from TheKnight115
+author: John Snow Labs
+name: finetuned_marbert_arabic_emotional_analysis
+date: 2024-09-26
+tags: [ar, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_marbert_arabic_emotional_analysis` is a Arabic model originally trained by TheKnight115.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_marbert_arabic_emotional_analysis_ar_5.5.0_3.0_1727346127583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_marbert_arabic_emotional_analysis_ar_5.5.0_3.0_1727346127583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_marbert_arabic_emotional_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ar|
+|Size:|608.8 MB|
+
+## References
+
+https://huggingface.co/TheKnight115/Finetuned_MarBERT_Arabic_Emotional_Analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuned_marbert_arabic_emotional_analysis_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-26-finetuned_marbert_arabic_emotional_analysis_pipeline_ar.md
new file mode 100644
index 00000000000000..080356d4060821
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuned_marbert_arabic_emotional_analysis_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic finetuned_marbert_arabic_emotional_analysis_pipeline pipeline BertForSequenceClassification from TheKnight115
+author: John Snow Labs
+name: finetuned_marbert_arabic_emotional_analysis_pipeline
+date: 2024-09-26
+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.`finetuned_marbert_arabic_emotional_analysis_pipeline` is a Arabic model originally trained by TheKnight115.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_marbert_arabic_emotional_analysis_pipeline_ar_5.5.0_3.0_1727346160439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_marbert_arabic_emotional_analysis_pipeline_ar_5.5.0_3.0_1727346160439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_marbert_arabic_emotional_analysis_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_marbert_arabic_emotional_analysis_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_marbert_arabic_emotional_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|608.8 MB|
+
+## References
+
+https://huggingface.co/TheKnight115/Finetuned_MarBERT_Arabic_Emotional_Analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_en.md
new file mode 100644
index 00000000000000..83c4eccec2d0df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_bert_base_uncased_on_amazon_polarity_7000_samples BertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_bert_base_uncased_on_amazon_polarity_7000_samples
+date: 2024-09-26
+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.`finetuning_bert_base_uncased_on_amazon_polarity_7000_samples` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_en_5.5.0_3.0_1727354127208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_en_5.5.0_3.0_1727354127208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_bert_base_uncased_on_amazon_polarity_7000_samples|
+|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/finetuning-bert-base-uncased-on-amazon_polarity_7000_samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline_en.md
new file mode 100644
index 00000000000000..b8464e6f17d39f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline pipeline BertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline_en_5.5.0_3.0_1727354148091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline_en_5.5.0_3.0_1727354148091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_bert_base_uncased_on_amazon_polarity_7000_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning-bert-base-uncased-on-amazon_polarity_7000_samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_imdb_7000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_imdb_7000_samples_en.md
new file mode 100644
index 00000000000000..f4bfe574d3782d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_imdb_7000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_bert_base_uncased_on_imdb_7000_samples BertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_bert_base_uncased_on_imdb_7000_samples
+date: 2024-09-26
+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.`finetuning_bert_base_uncased_on_imdb_7000_samples` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_imdb_7000_samples_en_5.5.0_3.0_1727313515146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_imdb_7000_samples_en_5.5.0_3.0_1727313515146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_bert_base_uncased_on_imdb_7000_samples|
+|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/finetuning-bert-base-uncased-on-imdb_7000_samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_en.md
new file mode 100644
index 00000000000000..516c91800dd0c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_bert_base_uncased_on_yelp_polarity_7000_samples BertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_bert_base_uncased_on_yelp_polarity_7000_samples
+date: 2024-09-26
+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.`finetuning_bert_base_uncased_on_yelp_polarity_7000_samples` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_en_5.5.0_3.0_1727346528761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_en_5.5.0_3.0_1727346528761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_bert_base_uncased_on_yelp_polarity_7000_samples|
+|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/finetuning-bert-base-uncased-on-yelp_polarity_7000_samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline_en.md
new file mode 100644
index 00000000000000..54e1123e07ed12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline pipeline BertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline_en_5.5.0_3.0_1727346550487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline_en_5.5.0_3.0_1727346550487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_bert_base_uncased_on_yelp_polarity_7000_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning-bert-base-uncased-on-yelp_polarity_7000_samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_llms_project_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_llms_project_2_pipeline_en.md
new file mode 100644
index 00000000000000..71d3a4c6b1134c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_llms_project_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_llms_project_2_pipeline pipeline BertForSequenceClassification from jessica-ecosia
+author: John Snow Labs
+name: finetuning_llms_project_2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuning_llms_project_2_pipeline` is a English model originally trained by jessica-ecosia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_llms_project_2_pipeline_en_5.5.0_3.0_1727335394524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_llms_project_2_pipeline_en_5.5.0_3.0_1727335394524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_llms_project_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_llms_project_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_llms_project_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jessica-ecosia/finetuning-llms-project-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_3000_samples_shubham166_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_3000_samples_shubham166_pipeline_en.md
new file mode 100644
index 00000000000000..3ee025610fdaf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_3000_samples_shubham166_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_shubham166_pipeline pipeline BertForSequenceClassification from shubham166
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_shubham166_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuning_sentiment_model_3000_samples_shubham166_pipeline` is a English model originally trained by shubham166.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shubham166_pipeline_en_5.5.0_3.0_1727317680425.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_shubham166_pipeline_en_5.5.0_3.0_1727317680425.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_shubham166_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_shubham166_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_shubham166_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/shubham166/finetuning-sentiment-model-3000-samples-shubham166
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_bert_base_25000_samples_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_bert_base_25000_samples_en.md
new file mode 100644
index 00000000000000..797dcbf60a3de3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_bert_base_25000_samples_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_bert_base_25000_samples BertForSequenceClassification from choidf
+author: John Snow Labs
+name: finetuning_sentiment_model_bert_base_25000_samples
+date: 2024-09-26
+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.`finetuning_sentiment_model_bert_base_25000_samples` is a English model originally trained by choidf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bert_base_25000_samples_en_5.5.0_3.0_1727318361144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bert_base_25000_samples_en_5.5.0_3.0_1727318361144.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_bert_base_25000_samples|
+|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/choidf/finetuning-sentiment-model-bert-base-25000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_bert_base_25000_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_bert_base_25000_samples_pipeline_en.md
new file mode 100644
index 00000000000000..53417c8cb8e8bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_bert_base_25000_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_bert_base_25000_samples_pipeline pipeline BertForSequenceClassification from choidf
+author: John Snow Labs
+name: finetuning_sentiment_model_bert_base_25000_samples_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuning_sentiment_model_bert_base_25000_samples_pipeline` is a English model originally trained by choidf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bert_base_25000_samples_pipeline_en_5.5.0_3.0_1727318383533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_bert_base_25000_samples_pipeline_en_5.5.0_3.0_1727318383533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_bert_base_25000_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_bert_base_25000_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_bert_base_25000_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/choidf/finetuning-sentiment-model-bert-base-25000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_pipeline_en.md
new file mode 100644
index 00000000000000..bdc8a6f0caf562
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-finetuning_sentiment_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_pipeline pipeline BertForSequenceClassification from BJ-1018
+author: John Snow Labs
+name: finetuning_sentiment_model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`finetuning_sentiment_model_pipeline` is a English model originally trained by BJ-1018.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_pipeline_en_5.5.0_3.0_1727317566930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_pipeline_en_5.5.0_3.0_1727317566930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_sentiment_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/BJ-1018/finetuning-sentiment-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_bert_base_mover_score_en.md b/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_bert_base_mover_score_en.md
new file mode 100644
index 00000000000000..e732c5780cae3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_bert_base_mover_score_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English frugalscore_small_bert_base_mover_score BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_small_bert_base_mover_score
+date: 2024-09-26
+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.`frugalscore_small_bert_base_mover_score` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_small_bert_base_mover_score_en_5.5.0_3.0_1727363510227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_small_bert_base_mover_score_en_5.5.0_3.0_1727363510227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_small_bert_base_mover_score|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|107.9 MB|
+
+## References
+
+https://huggingface.co/moussaKam/frugalscore_small_bert-base_mover-score
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_bert_base_mover_score_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_bert_base_mover_score_pipeline_en.md
new file mode 100644
index 00000000000000..df53980393fe88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_bert_base_mover_score_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English frugalscore_small_bert_base_mover_score_pipeline pipeline BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_small_bert_base_mover_score_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`frugalscore_small_bert_base_mover_score_pipeline` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_small_bert_base_mover_score_pipeline_en_5.5.0_3.0_1727363515742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_small_bert_base_mover_score_pipeline_en_5.5.0_3.0_1727363515742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("frugalscore_small_bert_base_mover_score_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("frugalscore_small_bert_base_mover_score_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_small_bert_base_mover_score_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|108.0 MB|
+
+## References
+
+https://huggingface.co/moussaKam/frugalscore_small_bert-base_mover-score
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_deberta_bert_score_en.md b/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_deberta_bert_score_en.md
new file mode 100644
index 00000000000000..a62300fc7a15b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_deberta_bert_score_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English frugalscore_small_deberta_bert_score BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_small_deberta_bert_score
+date: 2024-09-26
+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.`frugalscore_small_deberta_bert_score` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_small_deberta_bert_score_en_5.5.0_3.0_1727332840630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_small_deberta_bert_score_en_5.5.0_3.0_1727332840630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_small_deberta_bert_score|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|107.9 MB|
+
+## References
+
+https://huggingface.co/moussaKam/frugalscore_small_deberta_bert-score
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_deberta_bert_score_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_deberta_bert_score_pipeline_en.md
new file mode 100644
index 00000000000000..add04b0b6978e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-frugalscore_small_deberta_bert_score_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English frugalscore_small_deberta_bert_score_pipeline pipeline BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_small_deberta_bert_score_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`frugalscore_small_deberta_bert_score_pipeline` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_small_deberta_bert_score_pipeline_en_5.5.0_3.0_1727332846196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_small_deberta_bert_score_pipeline_en_5.5.0_3.0_1727332846196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("frugalscore_small_deberta_bert_score_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("frugalscore_small_deberta_bert_score_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_small_deberta_bert_score_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|108.0 MB|
+
+## References
+
+https://huggingface.co/moussaKam/frugalscore_small_deberta_bert-score
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-geocoder_relevancy_model_en.md b/docs/_posts/ahmedlone127/2024-09-26-geocoder_relevancy_model_en.md
new file mode 100644
index 00000000000000..8563e7cfc6f739
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-geocoder_relevancy_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English geocoder_relevancy_model BertForSequenceClassification from azamat
+author: John Snow Labs
+name: geocoder_relevancy_model
+date: 2024-09-26
+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.`geocoder_relevancy_model` is a English model originally trained by azamat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/geocoder_relevancy_model_en_5.5.0_3.0_1727310373681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/geocoder_relevancy_model_en_5.5.0_3.0_1727310373681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|geocoder_relevancy_model|
+|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/azamat/geocoder_relevancy_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-geocoder_relevancy_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-geocoder_relevancy_model_pipeline_en.md
new file mode 100644
index 00000000000000..462345c1fc7d7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-geocoder_relevancy_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English geocoder_relevancy_model_pipeline pipeline BertForSequenceClassification from azamat
+author: John Snow Labs
+name: geocoder_relevancy_model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`geocoder_relevancy_model_pipeline` is a English model originally trained by azamat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/geocoder_relevancy_model_pipeline_en_5.5.0_3.0_1727310408728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/geocoder_relevancy_model_pipeline_en_5.5.0_3.0_1727310408728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("geocoder_relevancy_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("geocoder_relevancy_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|geocoder_relevancy_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/azamat/geocoder_relevancy_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-german_toxicity_classifier_plus_de.md b/docs/_posts/ahmedlone127/2024-09-26-german_toxicity_classifier_plus_de.md
new file mode 100644
index 00000000000000..7edac51b38b277
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-german_toxicity_classifier_plus_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German german_toxicity_classifier_plus BertForSequenceClassification from EIStakovskii
+author: John Snow Labs
+name: german_toxicity_classifier_plus
+date: 2024-09-26
+tags: [de, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: de
+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.`german_toxicity_classifier_plus` is a German model originally trained by EIStakovskii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_toxicity_classifier_plus_de_5.5.0_3.0_1727320799996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_toxicity_classifier_plus_de_5.5.0_3.0_1727320799996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_toxicity_classifier_plus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/EIStakovskii/german_toxicity_classifier_plus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-german_toxicity_classifier_plus_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-26-german_toxicity_classifier_plus_pipeline_de.md
new file mode 100644
index 00000000000000..4947fca247cc99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-german_toxicity_classifier_plus_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German german_toxicity_classifier_plus_pipeline pipeline BertForSequenceClassification from EIStakovskii
+author: John Snow Labs
+name: german_toxicity_classifier_plus_pipeline
+date: 2024-09-26
+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.`german_toxicity_classifier_plus_pipeline` is a German model originally trained by EIStakovskii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_toxicity_classifier_plus_pipeline_de_5.5.0_3.0_1727320821339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_toxicity_classifier_plus_pipeline_de_5.5.0_3.0_1727320821339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("german_toxicity_classifier_plus_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("german_toxicity_classifier_plus_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_toxicity_classifier_plus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/EIStakovskii/german_toxicity_classifier_plus
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-gfmgenderdetection_en.md b/docs/_posts/ahmedlone127/2024-09-26-gfmgenderdetection_en.md
new file mode 100644
index 00000000000000..d6ca6c84b8cbf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-gfmgenderdetection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gfmgenderdetection BertForSequenceClassification from sasi2400
+author: John Snow Labs
+name: gfmgenderdetection
+date: 2024-09-26
+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.`gfmgenderdetection` is a English model originally trained by sasi2400.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gfmgenderdetection_en_5.5.0_3.0_1727312059881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gfmgenderdetection_en_5.5.0_3.0_1727312059881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gfmgenderdetection|
+|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/sasi2400/GFMgenderDetection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-gfmgenderdetection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-gfmgenderdetection_pipeline_en.md
new file mode 100644
index 00000000000000..04a5218ae8fb5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-gfmgenderdetection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gfmgenderdetection_pipeline pipeline BertForSequenceClassification from sasi2400
+author: John Snow Labs
+name: gfmgenderdetection_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`gfmgenderdetection_pipeline` is a English model originally trained by sasi2400.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gfmgenderdetection_pipeline_en_5.5.0_3.0_1727312094668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gfmgenderdetection_pipeline_en_5.5.0_3.0_1727312094668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gfmgenderdetection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gfmgenderdetection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gfmgenderdetection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/sasi2400/GFMgenderDetection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-google_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-26-google_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..0d093fc594e043
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-google_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English google_bert_base_uncased BertForSequenceClassification from ajeetkumar01
+author: John Snow Labs
+name: google_bert_base_uncased
+date: 2024-09-26
+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.`google_bert_base_uncased` is a English model originally trained by ajeetkumar01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/google_bert_base_uncased_en_5.5.0_3.0_1727341982277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/google_bert_base_uncased_en_5.5.0_3.0_1727341982277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|google_bert_base_uncased|
+|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/ajeetkumar01/google-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-gpc_brick_klassifikator_en.md b/docs/_posts/ahmedlone127/2024-09-26-gpc_brick_klassifikator_en.md
new file mode 100644
index 00000000000000..16b94880c7b5b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-gpc_brick_klassifikator_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gpc_brick_klassifikator BertForSequenceClassification from sianbrumm
+author: John Snow Labs
+name: gpc_brick_klassifikator
+date: 2024-09-26
+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.`gpc_brick_klassifikator` is a English model originally trained by sianbrumm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gpc_brick_klassifikator_en_5.5.0_3.0_1727330876160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gpc_brick_klassifikator_en_5.5.0_3.0_1727330876160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gpc_brick_klassifikator|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.7 MB|
+
+## References
+
+https://huggingface.co/sianbrumm/GPC_Brick_Klassifikator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-gpc_brick_klassifikator_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-gpc_brick_klassifikator_pipeline_en.md
new file mode 100644
index 00000000000000..338d770b266681
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-gpc_brick_klassifikator_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gpc_brick_klassifikator_pipeline pipeline BertForSequenceClassification from sianbrumm
+author: John Snow Labs
+name: gpc_brick_klassifikator_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`gpc_brick_klassifikator_pipeline` is a English model originally trained by sianbrumm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gpc_brick_klassifikator_pipeline_en_5.5.0_3.0_1727330896789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gpc_brick_klassifikator_pipeline_en_5.5.0_3.0_1727330896789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gpc_brick_klassifikator_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gpc_brick_klassifikator_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gpc_brick_klassifikator_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.7 MB|
+
+## References
+
+https://huggingface.co/sianbrumm/GPC_Brick_Klassifikator
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-halacha_siman_seif_classifier_ankishoot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-halacha_siman_seif_classifier_ankishoot_pipeline_en.md
new file mode 100644
index 00000000000000..ce4f7e42095d1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-halacha_siman_seif_classifier_ankishoot_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English halacha_siman_seif_classifier_ankishoot_pipeline pipeline BertForSequenceClassification from sivan22
+author: John Snow Labs
+name: halacha_siman_seif_classifier_ankishoot_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`halacha_siman_seif_classifier_ankishoot_pipeline` is a English model originally trained by sivan22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/halacha_siman_seif_classifier_ankishoot_pipeline_en_5.5.0_3.0_1727320812874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/halacha_siman_seif_classifier_ankishoot_pipeline_en_5.5.0_3.0_1727320812874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("halacha_siman_seif_classifier_ankishoot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("halacha_siman_seif_classifier_ankishoot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|halacha_siman_seif_classifier_ankishoot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|704.2 MB|
+
+## References
+
+https://huggingface.co/sivan22/halacha-siman-seif-classifier-ankiShoot
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-halacha_siman_seif_classifier_he.md b/docs/_posts/ahmedlone127/2024-09-26-halacha_siman_seif_classifier_he.md
new file mode 100644
index 00000000000000..b1bc23867b5ccd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-halacha_siman_seif_classifier_he.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Hebrew halacha_siman_seif_classifier BertForSequenceClassification from sivan22
+author: John Snow Labs
+name: halacha_siman_seif_classifier
+date: 2024-09-26
+tags: [he, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: he
+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.`halacha_siman_seif_classifier` is a Hebrew model originally trained by sivan22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/halacha_siman_seif_classifier_he_5.5.0_3.0_1727331471180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/halacha_siman_seif_classifier_he_5.5.0_3.0_1727331471180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hasoc19_bert_base_multilingual_uncased_sentiment_nepal_bhasa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/SiddharthaM/hasoc19-bert-base-multilingual-uncased-sentiment-new
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-hate_detection1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-hate_detection1_pipeline_en.md
new file mode 100644
index 00000000000000..a220ece8adc129
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-hate_detection1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_detection1_pipeline pipeline BertForSequenceClassification from sangbeomkim7
+author: John Snow Labs
+name: hate_detection1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`hate_detection1_pipeline` is a English model originally trained by sangbeomkim7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_detection1_pipeline_en_5.5.0_3.0_1727337752415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_detection1_pipeline_en_5.5.0_3.0_1727337752415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_detection1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_detection1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_detection1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.5 MB|
+
+## References
+
+https://huggingface.co/sangbeomkim7/hate_detection1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-hing_mbert_ours_rundi_5_en.md b/docs/_posts/ahmedlone127/2024-09-26-hing_mbert_ours_rundi_5_en.md
new file mode 100644
index 00000000000000..bfae2a92b88285
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-hing_mbert_ours_rundi_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hing_mbert_ours_rundi_5 BertForSequenceClassification from SkyR
+author: John Snow Labs
+name: hing_mbert_ours_rundi_5
+date: 2024-09-26
+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.`hing_mbert_ours_rundi_5` is a English model originally trained by SkyR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hing_mbert_ours_rundi_5_en_5.5.0_3.0_1727343516054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hing_mbert_ours_rundi_5_en_5.5.0_3.0_1727343516054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hing_mbert_ours_rundi_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.2 MB|
+
+## References
+
+https://huggingface.co/SkyR/hing-mbert-ours-run-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-hiv_pr_resist_en.md b/docs/_posts/ahmedlone127/2024-09-26-hiv_pr_resist_en.md
new file mode 100644
index 00000000000000..706f1ea3a495d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-hiv_pr_resist_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hiv_pr_resist BertForSequenceClassification from damlab
+author: John Snow Labs
+name: hiv_pr_resist
+date: 2024-09-26
+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.`hiv_pr_resist` is a English model originally trained by damlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hiv_pr_resist_en_5.5.0_3.0_1727351104361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hiv_pr_resist_en_5.5.0_3.0_1727351104361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hiv_pr_resist|
+|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/damlab/HIV_PR_resist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-hiv_v3_coreceptor_en.md b/docs/_posts/ahmedlone127/2024-09-26-hiv_v3_coreceptor_en.md
new file mode 100644
index 00000000000000..46da63ecf92ce1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-hiv_v3_coreceptor_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hiv_v3_coreceptor BertForSequenceClassification from damlab
+author: John Snow Labs
+name: hiv_v3_coreceptor
+date: 2024-09-26
+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.`hiv_v3_coreceptor` is a English model originally trained by damlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hiv_v3_coreceptor_en_5.5.0_3.0_1727333850145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hiv_v3_coreceptor_en_5.5.0_3.0_1727333850145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hiv_v3_coreceptor|
+|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/damlab/HIV_V3_Coreceptor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-hiv_v3_coreceptor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-hiv_v3_coreceptor_pipeline_en.md
new file mode 100644
index 00000000000000..bf4a0081ee73a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-hiv_v3_coreceptor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hiv_v3_coreceptor_pipeline pipeline BertForSequenceClassification from damlab
+author: John Snow Labs
+name: hiv_v3_coreceptor_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`hiv_v3_coreceptor_pipeline` is a English model originally trained by damlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hiv_v3_coreceptor_pipeline_en_5.5.0_3.0_1727333939297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hiv_v3_coreceptor_pipeline_en_5.5.0_3.0_1727333939297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hiv_v3_coreceptor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hiv_v3_coreceptor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hiv_v3_coreceptor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/damlab/HIV_V3_Coreceptor
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-horai_medium_17k_bert_en.md b/docs/_posts/ahmedlone127/2024-09-26-horai_medium_17k_bert_en.md
new file mode 100644
index 00000000000000..fe8cf3b1e54021
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-horai_medium_17k_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English horai_medium_17k_bert BertForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: horai_medium_17k_bert
+date: 2024-09-26
+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.`horai_medium_17k_bert` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/horai_medium_17k_bert_en_5.5.0_3.0_1727309748849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/horai_medium_17k_bert_en_5.5.0_3.0_1727309748849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|horai_medium_17k_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/stealthwriter/HorAI-medium-17k-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-horai_medium_17k_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-horai_medium_17k_bert_pipeline_en.md
new file mode 100644
index 00000000000000..7049ad38588f14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-horai_medium_17k_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English horai_medium_17k_bert_pipeline pipeline BertForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: horai_medium_17k_bert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`horai_medium_17k_bert_pipeline` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/horai_medium_17k_bert_pipeline_en_5.5.0_3.0_1727309773884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/horai_medium_17k_bert_pipeline_en_5.5.0_3.0_1727309773884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("horai_medium_17k_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("horai_medium_17k_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|horai_medium_17k_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/stealthwriter/HorAI-medium-17k-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-human_directed_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-human_directed_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..cfdbfca8bb14af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-human_directed_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English human_directed_sentiment_pipeline pipeline BertForSequenceClassification from DSI
+author: John Snow Labs
+name: human_directed_sentiment_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`human_directed_sentiment_pipeline` is a English model originally trained by DSI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/human_directed_sentiment_pipeline_en_5.5.0_3.0_1727366362693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/human_directed_sentiment_pipeline_en_5.5.0_3.0_1727366362693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("human_directed_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("human_directed_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|human_directed_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|610.9 MB|
+
+## References
+
+https://huggingface.co/DSI/human-directed-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-hyp_only_chat_bison_filtered_final_en.md b/docs/_posts/ahmedlone127/2024-09-26-hyp_only_chat_bison_filtered_final_en.md
new file mode 100644
index 00000000000000..153c2367a404c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-hyp_only_chat_bison_filtered_final_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hyp_only_chat_bison_filtered_final BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: hyp_only_chat_bison_filtered_final
+date: 2024-09-26
+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.`hyp_only_chat_bison_filtered_final` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hyp_only_chat_bison_filtered_final_en_5.5.0_3.0_1727309726285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hyp_only_chat_bison_filtered_final_en_5.5.0_3.0_1727309726285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hyp_only_chat_bison_filtered_final|
+|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/grace-pro/hyp_only_chat_bison_filtered_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-hyp_only_chat_bison_filtered_final_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-hyp_only_chat_bison_filtered_final_pipeline_en.md
new file mode 100644
index 00000000000000..eee500f65d8772
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-hyp_only_chat_bison_filtered_final_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hyp_only_chat_bison_filtered_final_pipeline pipeline BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: hyp_only_chat_bison_filtered_final_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`hyp_only_chat_bison_filtered_final_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hyp_only_chat_bison_filtered_final_pipeline_en_5.5.0_3.0_1727309748739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hyp_only_chat_bison_filtered_final_pipeline_en_5.5.0_3.0_1727309748739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hyp_only_chat_bison_filtered_final_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hyp_only_chat_bison_filtered_final_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hyp_only_chat_bison_filtered_final_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/grace-pro/hyp_only_chat_bison_filtered_final
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-hyp_only_mistral_instruct_filtered_final_en.md b/docs/_posts/ahmedlone127/2024-09-26-hyp_only_mistral_instruct_filtered_final_en.md
new file mode 100644
index 00000000000000..d5a698cbf782fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-hyp_only_mistral_instruct_filtered_final_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hyp_only_mistral_instruct_filtered_final BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: hyp_only_mistral_instruct_filtered_final
+date: 2024-09-26
+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.`hyp_only_mistral_instruct_filtered_final` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hyp_only_mistral_instruct_filtered_final_en_5.5.0_3.0_1727320455902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hyp_only_mistral_instruct_filtered_final_en_5.5.0_3.0_1727320455902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hyp_only_mistral_instruct_filtered_final|
+|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/grace-pro/hyp_only_mistral_instruct_filtered_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-hyp_only_mistral_instruct_filtered_final_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-hyp_only_mistral_instruct_filtered_final_pipeline_en.md
new file mode 100644
index 00000000000000..85d254b2e042a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-hyp_only_mistral_instruct_filtered_final_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hyp_only_mistral_instruct_filtered_final_pipeline pipeline BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: hyp_only_mistral_instruct_filtered_final_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`hyp_only_mistral_instruct_filtered_final_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hyp_only_mistral_instruct_filtered_final_pipeline_en_5.5.0_3.0_1727320476517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hyp_only_mistral_instruct_filtered_final_pipeline_en_5.5.0_3.0_1727320476517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hyp_only_mistral_instruct_filtered_final_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hyp_only_mistral_instruct_filtered_final_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hyp_only_mistral_instruct_filtered_final_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/grace-pro/hyp_only_mistral_instruct_filtered_final
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-imdb3_hga_en.md b/docs/_posts/ahmedlone127/2024-09-26-imdb3_hga_en.md
new file mode 100644
index 00000000000000..7573e87e3718e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-imdb3_hga_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb3_hga BertForSequenceClassification from Lumos
+author: John Snow Labs
+name: imdb3_hga
+date: 2024-09-26
+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.`imdb3_hga` is a English model originally trained by Lumos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb3_hga_en_5.5.0_3.0_1727316035348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb3_hga_en_5.5.0_3.0_1727316035348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb3_hga|
+|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/Lumos/imdb3_hga
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-imdb3_hga_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-imdb3_hga_pipeline_en.md
new file mode 100644
index 00000000000000..9ed3c178f50b9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-imdb3_hga_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdb3_hga_pipeline pipeline BertForSequenceClassification from Lumos
+author: John Snow Labs
+name: imdb3_hga_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`imdb3_hga_pipeline` is a English model originally trained by Lumos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb3_hga_pipeline_en_5.5.0_3.0_1727316058578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb3_hga_pipeline_en_5.5.0_3.0_1727316058578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb3_hga_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb3_hga_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb3_hga_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Lumos/imdb3_hga
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-imdb3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-imdb3_pipeline_en.md
new file mode 100644
index 00000000000000..86b0ec1d45a008
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-imdb3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdb3_pipeline pipeline BertForSequenceClassification from Lumos
+author: John Snow Labs
+name: imdb3_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`imdb3_pipeline` is a English model originally trained by Lumos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb3_pipeline_en_5.5.0_3.0_1727335995963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb3_pipeline_en_5.5.0_3.0_1727335995963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Lumos/imdb3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-imdb_bert_5e_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-imdb_bert_5e_pipeline_en.md
new file mode 100644
index 00000000000000..786c71e9dcecd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-imdb_bert_5e_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdb_bert_5e_pipeline pipeline BertForSequenceClassification from pig4431
+author: John Snow Labs
+name: imdb_bert_5e_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`imdb_bert_5e_pipeline` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_bert_5e_pipeline_en_5.5.0_3.0_1727352278277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_bert_5e_pipeline_en_5.5.0_3.0_1727352278277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb_bert_5e_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb_bert_5e_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_bert_5e_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/pig4431/IMDB_BERT_5E
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-implicit_toxicgenconprompt_all_norwegian_lora_en.md b/docs/_posts/ahmedlone127/2024-09-26-implicit_toxicgenconprompt_all_norwegian_lora_en.md
new file mode 100644
index 00000000000000..007390c293f95a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-implicit_toxicgenconprompt_all_norwegian_lora_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English implicit_toxicgenconprompt_all_norwegian_lora BertForSequenceClassification from adediu25
+author: John Snow Labs
+name: implicit_toxicgenconprompt_all_norwegian_lora
+date: 2024-09-26
+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.`implicit_toxicgenconprompt_all_norwegian_lora` is a English model originally trained by adediu25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/implicit_toxicgenconprompt_all_norwegian_lora_en_5.5.0_3.0_1727343052930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/implicit_toxicgenconprompt_all_norwegian_lora_en_5.5.0_3.0_1727343052930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|implicit_toxicgenconprompt_all_norwegian_lora|
+|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/adediu25/implicit-toxicgenconprompt-all-no-lora
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-implicit_toxicgenconprompt_all_norwegian_lora_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-implicit_toxicgenconprompt_all_norwegian_lora_pipeline_en.md
new file mode 100644
index 00000000000000..3ca63a87706a77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-implicit_toxicgenconprompt_all_norwegian_lora_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English implicit_toxicgenconprompt_all_norwegian_lora_pipeline pipeline BertForSequenceClassification from adediu25
+author: John Snow Labs
+name: implicit_toxicgenconprompt_all_norwegian_lora_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`implicit_toxicgenconprompt_all_norwegian_lora_pipeline` is a English model originally trained by adediu25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/implicit_toxicgenconprompt_all_norwegian_lora_pipeline_en_5.5.0_3.0_1727343074205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/implicit_toxicgenconprompt_all_norwegian_lora_pipeline_en_5.5.0_3.0_1727343074205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("implicit_toxicgenconprompt_all_norwegian_lora_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("implicit_toxicgenconprompt_all_norwegian_lora_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|implicit_toxicgenconprompt_all_norwegian_lora_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/adediu25/implicit-toxicgenconprompt-all-no-lora
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-improved_arabert_twitter_sentiment2chars_en.md b/docs/_posts/ahmedlone127/2024-09-26-improved_arabert_twitter_sentiment2chars_en.md
new file mode 100644
index 00000000000000..f217d932e71dc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-improved_arabert_twitter_sentiment2chars_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English improved_arabert_twitter_sentiment2chars BertForSequenceClassification from Anwaarma
+author: John Snow Labs
+name: improved_arabert_twitter_sentiment2chars
+date: 2024-09-26
+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.`improved_arabert_twitter_sentiment2chars` is a English model originally trained by Anwaarma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/improved_arabert_twitter_sentiment2chars_en_5.5.0_3.0_1727311937824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/improved_arabert_twitter_sentiment2chars_en_5.5.0_3.0_1727311937824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|improved_arabert_twitter_sentiment2chars|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.3 MB|
+
+## References
+
+https://huggingface.co/Anwaarma/Improved-Arabert-twitter-sentiment2chars
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-inclusively_classification_en.md b/docs/_posts/ahmedlone127/2024-09-26-inclusively_classification_en.md
new file mode 100644
index 00000000000000..50b3ae4e48469f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-inclusively_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English inclusively_classification BertForSequenceClassification from E-MIMIC
+author: John Snow Labs
+name: inclusively_classification
+date: 2024-09-26
+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.`inclusively_classification` is a English model originally trained by E-MIMIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inclusively_classification_en_5.5.0_3.0_1727319204763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inclusively_classification_en_5.5.0_3.0_1727319204763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inclusively_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/E-MIMIC/inclusively-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-inclusively_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-inclusively_classification_pipeline_en.md
new file mode 100644
index 00000000000000..ebf93c30b9031f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-inclusively_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English inclusively_classification_pipeline pipeline BertForSequenceClassification from E-MIMIC
+author: John Snow Labs
+name: inclusively_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`inclusively_classification_pipeline` is a English model originally trained by E-MIMIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inclusively_classification_pipeline_en_5.5.0_3.0_1727319229375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inclusively_classification_pipeline_en_5.5.0_3.0_1727319229375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("inclusively_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("inclusively_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inclusively_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.9 MB|
+
+## References
+
+https://huggingface.co/E-MIMIC/inclusively-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-indobert_large_p1_7_en.md b/docs/_posts/ahmedlone127/2024-09-26-indobert_large_p1_7_en.md
new file mode 100644
index 00000000000000..e44f7b0c7220c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-indobert_large_p1_7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English indobert_large_p1_7 BertForSequenceClassification from alyazharr
+author: John Snow Labs
+name: indobert_large_p1_7
+date: 2024-09-26
+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.`indobert_large_p1_7` is a English model originally trained by alyazharr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_large_p1_7_en_5.5.0_3.0_1727314144363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_large_p1_7_en_5.5.0_3.0_1727314144363.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_large_p1_7|
+|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/alyazharr/indobert_large_p1_7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-indobert_large_p1_7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-indobert_large_p1_7_pipeline_en.md
new file mode 100644
index 00000000000000..66bfea0c6a2854
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-indobert_large_p1_7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English indobert_large_p1_7_pipeline pipeline BertForSequenceClassification from alyazharr
+author: John Snow Labs
+name: indobert_large_p1_7_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_large_p1_7_pipeline` is a English model originally trained by alyazharr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_large_p1_7_pipeline_en_5.5.0_3.0_1727314208741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_large_p1_7_pipeline_en_5.5.0_3.0_1727314208741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indobert_large_p1_7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indobert_large_p1_7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_large_p1_7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/alyazharr/indobert_large_p1_7
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-indonesian_toxic_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-indonesian_toxic_classification_pipeline_en.md
new file mode 100644
index 00000000000000..37c8cf692adc30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-indonesian_toxic_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English indonesian_toxic_classification_pipeline pipeline BertForSequenceClassification from AptaArkana
+author: John Snow Labs
+name: indonesian_toxic_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_toxic_classification_pipeline` is a English model originally trained by AptaArkana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indonesian_toxic_classification_pipeline_en_5.5.0_3.0_1727345688032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indonesian_toxic_classification_pipeline_en_5.5.0_3.0_1727345688032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indonesian_toxic_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indonesian_toxic_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indonesian_toxic_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.1 MB|
+
+## References
+
+https://huggingface.co/AptaArkana/indonesian_toxic_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-intent_classification_en.md b/docs/_posts/ahmedlone127/2024-09-26-intent_classification_en.md
new file mode 100644
index 00000000000000..f2bdd2fec17f60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-intent_classification_en.md
@@ -0,0 +1,88 @@
+---
+layout: model
+title: English intent_classification MPNetEmbeddings from Vishwas
+author: John Snow Labs
+name: intent_classification
+date: 2024-09-26
+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: BertForSequenceClassification
+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.`intent_classification` is a English model originally trained by Vishwas.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classification_en_5.5.0_3.0_1727312782014.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classification_en_5.5.0_3.0_1727312782014.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+References
+
+https://huggingface.co/Vishwas/intent_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-intent_classifier_bert_base_less_eval_en.md b/docs/_posts/ahmedlone127/2024-09-26-intent_classifier_bert_base_less_eval_en.md
new file mode 100644
index 00000000000000..ceab6ec2401fb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-intent_classifier_bert_base_less_eval_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English intent_classifier_bert_base_less_eval BertForSequenceClassification from mlovelli
+author: John Snow Labs
+name: intent_classifier_bert_base_less_eval
+date: 2024-09-26
+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_classifier_bert_base_less_eval` is a English model originally trained by mlovelli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classifier_bert_base_less_eval_en_5.5.0_3.0_1727345124114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classifier_bert_base_less_eval_en_5.5.0_3.0_1727345124114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classifier_bert_base_less_eval|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mlovelli/intent_classifier_bert_base_less_eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ir_vgg_en.md b/docs/_posts/ahmedlone127/2024-09-26-ir_vgg_en.md
new file mode 100644
index 00000000000000..a2b8e27494b1c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ir_vgg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ir_vgg BertForSequenceClassification from AmalAbidS
+author: John Snow Labs
+name: ir_vgg
+date: 2024-09-26
+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.`ir_vgg` is a English model originally trained by AmalAbidS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ir_vgg_en_5.5.0_3.0_1727352469478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ir_vgg_en_5.5.0_3.0_1727352469478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ir_vgg|
+|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/AmalAbidS/IR-VGG
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ir_vgg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-ir_vgg_pipeline_en.md
new file mode 100644
index 00000000000000..e45c56c09562b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ir_vgg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ir_vgg_pipeline pipeline BertForSequenceClassification from AmalAbidS
+author: John Snow Labs
+name: ir_vgg_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ir_vgg_pipeline` is a English model originally trained by AmalAbidS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ir_vgg_pipeline_en_5.5.0_3.0_1727352491236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ir_vgg_pipeline_en_5.5.0_3.0_1727352491236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ir_vgg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ir_vgg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ir_vgg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/AmalAbidS/IR-VGG
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-job_salary_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-26-job_salary_classifier_en.md
new file mode 100644
index 00000000000000..460233fdf469af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-job_salary_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English job_salary_classifier BertForSequenceClassification from benjaminrio
+author: John Snow Labs
+name: job_salary_classifier
+date: 2024-09-26
+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.`job_salary_classifier` is a English model originally trained by benjaminrio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/job_salary_classifier_en_5.5.0_3.0_1727319480187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/job_salary_classifier_en_5.5.0_3.0_1727319480187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|job_salary_classifier|
+|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/benjaminrio/job-salary-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-job_salary_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-job_salary_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..82d6ebda5fd318
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-job_salary_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English job_salary_classifier_pipeline pipeline BertForSequenceClassification from benjaminrio
+author: John Snow Labs
+name: job_salary_classifier_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`job_salary_classifier_pipeline` is a English model originally trained by benjaminrio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/job_salary_classifier_pipeline_en_5.5.0_3.0_1727319500992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/job_salary_classifier_pipeline_en_5.5.0_3.0_1727319500992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("job_salary_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("job_salary_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|job_salary_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/benjaminrio/job-salary-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-klimabert_da.md b/docs/_posts/ahmedlone127/2024-09-26-klimabert_da.md
new file mode 100644
index 00000000000000..306a6a289fb233
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-klimabert_da.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Danish klimabert BertForSequenceClassification from jonahank
+author: John Snow Labs
+name: klimabert
+date: 2024-09-26
+tags: [da, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: da
+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.`klimabert` is a Danish model originally trained by jonahank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/klimabert_da_5.5.0_3.0_1727358244195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/klimabert_da_5.5.0_3.0_1727358244195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|klimabert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|da|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/jonahank/KlimaBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-klue_bert_base_en.md b/docs/_posts/ahmedlone127/2024-09-26-klue_bert_base_en.md
new file mode 100644
index 00000000000000..d5de506468496c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-klue_bert_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English klue_bert_base BertForSequenceClassification from Woonn
+author: John Snow Labs
+name: klue_bert_base
+date: 2024-09-26
+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.`klue_bert_base` is a English model originally trained by Woonn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/klue_bert_base_en_5.5.0_3.0_1727366052372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/klue_bert_base_en_5.5.0_3.0_1727366052372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|klue_bert_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/Woonn/klue_bert_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-klue_bert_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-klue_bert_base_pipeline_en.md
new file mode 100644
index 00000000000000..a1dcb32a182fca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-klue_bert_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English klue_bert_base_pipeline pipeline BertForSequenceClassification from Woonn
+author: John Snow Labs
+name: klue_bert_base_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_pipeline` is a English model originally trained by Woonn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/klue_bert_base_pipeline_en_5.5.0_3.0_1727366073824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/klue_bert_base_pipeline_en_5.5.0_3.0_1727366073824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("klue_bert_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("klue_bert_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|klue_bert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/Woonn/klue_bert_base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-lamberta_v5_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-26-lamberta_v5_pipeline_it.md
new file mode 100644
index 00000000000000..234c4a45342208
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-lamberta_v5_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian lamberta_v5_pipeline pipeline BertForSequenceClassification from AndreaSimeri
+author: John Snow Labs
+name: lamberta_v5_pipeline
+date: 2024-09-26
+tags: [it, open_source, pipeline, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lamberta_v5_pipeline` is a Italian model originally trained by AndreaSimeri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lamberta_v5_pipeline_it_5.5.0_3.0_1727349856225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lamberta_v5_pipeline_it_5.5.0_3.0_1727349856225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lamberta_v5_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lamberta_v5_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lamberta_v5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|414.1 MB|
+
+## References
+
+https://huggingface.co/AndreaSimeri/LamBERTa_v5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-legalbert_large_1_7m_1_class_actions_en.md b/docs/_posts/ahmedlone127/2024-09-26-legalbert_large_1_7m_1_class_actions_en.md
new file mode 100644
index 00000000000000..6f3e6f0b08ebcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-legalbert_large_1_7m_1_class_actions_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English legalbert_large_1_7m_1_class_actions BertForSequenceClassification from afsuarezg
+author: John Snow Labs
+name: legalbert_large_1_7m_1_class_actions
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legalbert_large_1_7m_1_class_actions` is a English model originally trained by afsuarezg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legalbert_large_1_7m_1_class_actions_en_5.5.0_3.0_1727362397595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legalbert_large_1_7m_1_class_actions_en_5.5.0_3.0_1727362397595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legalbert_large_1_7m_1_class_actions|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/afsuarezg/legalbert-large-1.7M-1_class_actions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-legalpro_bert_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-legalpro_bert_base_pipeline_en.md
new file mode 100644
index 00000000000000..668dae44429b48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-legalpro_bert_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English legalpro_bert_base_pipeline pipeline BertForSequenceClassification from AmitTewari
+author: John Snow Labs
+name: legalpro_bert_base_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`legalpro_bert_base_pipeline` is a English model originally trained by AmitTewari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legalpro_bert_base_pipeline_en_5.5.0_3.0_1727359291494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legalpro_bert_base_pipeline_en_5.5.0_3.0_1727359291494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("legalpro_bert_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("legalpro_bert_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legalpro_bert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/AmitTewari/LegalPro-BERT-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-log_classifier_bert_v1_en.md b/docs/_posts/ahmedlone127/2024-09-26-log_classifier_bert_v1_en.md
new file mode 100644
index 00000000000000..29a7ff89dc1eca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-log_classifier_bert_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English log_classifier_bert_v1 BertForSequenceClassification from rahulm-selector
+author: John Snow Labs
+name: log_classifier_bert_v1
+date: 2024-09-26
+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.`log_classifier_bert_v1` is a English model originally trained by rahulm-selector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/log_classifier_bert_v1_en_5.5.0_3.0_1727334372931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/log_classifier_bert_v1_en_5.5.0_3.0_1727334372931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|log_classifier_bert_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/rahulm-selector/log-classifier-BERT-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-log_classifier_bert_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-log_classifier_bert_v1_pipeline_en.md
new file mode 100644
index 00000000000000..5bfbc02f296a38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-log_classifier_bert_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English log_classifier_bert_v1_pipeline pipeline BertForSequenceClassification from rahulm-selector
+author: John Snow Labs
+name: log_classifier_bert_v1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`log_classifier_bert_v1_pipeline` is a English model originally trained by rahulm-selector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/log_classifier_bert_v1_pipeline_en_5.5.0_3.0_1727334394695.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/log_classifier_bert_v1_pipeline_en_5.5.0_3.0_1727334394695.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("log_classifier_bert_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("log_classifier_bert_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|log_classifier_bert_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/rahulm-selector/log-classifier-BERT-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-lovelybert_en.md b/docs/_posts/ahmedlone127/2024-09-26-lovelybert_en.md
new file mode 100644
index 00000000000000..e89b4884c78000
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-lovelybert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lovelybert BertForSequenceClassification from lhoorie
+author: John Snow Labs
+name: lovelybert
+date: 2024-09-26
+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.`lovelybert` is a English model originally trained by lhoorie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lovelybert_en_5.5.0_3.0_1727320308852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lovelybert_en_5.5.0_3.0_1727320308852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lovelybert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/lhoorie/lovelyBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-m3_deeplearning_en.md b/docs/_posts/ahmedlone127/2024-09-26-m3_deeplearning_en.md
new file mode 100644
index 00000000000000..7f2a4f2f546e67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-m3_deeplearning_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English m3_deeplearning BertForSequenceClassification from Thysted
+author: John Snow Labs
+name: m3_deeplearning
+date: 2024-09-26
+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.`m3_deeplearning` is a English model originally trained by Thysted.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m3_deeplearning_en_5.5.0_3.0_1727319355129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m3_deeplearning_en_5.5.0_3.0_1727319355129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|m3_deeplearning|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Thysted/M3-DeepLearning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-m4_en.md b/docs/_posts/ahmedlone127/2024-09-26-m4_en.md
new file mode 100644
index 00000000000000..61fbf102aadbc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-m4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English m4 BertForSequenceClassification from raminass
+author: John Snow Labs
+name: m4
+date: 2024-09-26
+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.`m4` is a English model originally trained by raminass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m4_en_5.5.0_3.0_1727311160556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m4_en_5.5.0_3.0_1727311160556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|m4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|131.6 MB|
+
+## References
+
+https://huggingface.co/raminass/M4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-m4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-m4_pipeline_en.md
new file mode 100644
index 00000000000000..60a96c7ec3ba71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-m4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English m4_pipeline pipeline BertForSequenceClassification from raminass
+author: John Snow Labs
+name: m4_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`m4_pipeline` is a English model originally trained by raminass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m4_pipeline_en_5.5.0_3.0_1727311166926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m4_pipeline_en_5.5.0_3.0_1727311166926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("m4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("m4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|m4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|131.6 MB|
+
+## References
+
+https://huggingface.co/raminass/M4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-malay_marco_minilm_l6v2_rewritten_en.md b/docs/_posts/ahmedlone127/2024-09-26-malay_marco_minilm_l6v2_rewritten_en.md
new file mode 100644
index 00000000000000..97280709b073d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-malay_marco_minilm_l6v2_rewritten_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English malay_marco_minilm_l6v2_rewritten BertForSequenceClassification from HengZ121
+author: John Snow Labs
+name: malay_marco_minilm_l6v2_rewritten
+date: 2024-09-26
+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.`malay_marco_minilm_l6v2_rewritten` is a English model originally trained by HengZ121.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l6v2_rewritten_en_5.5.0_3.0_1727353731897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l6v2_rewritten_en_5.5.0_3.0_1727353731897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_minilm_l6v2_rewritten|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|84.5 MB|
+
+## References
+
+https://huggingface.co/HengZ121/ms-marco-MiniLM-L6V2-rewritten
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-malware_indonesian_poisoned_en.md b/docs/_posts/ahmedlone127/2024-09-26-malware_indonesian_poisoned_en.md
new file mode 100644
index 00000000000000..1cda8ff9b01330
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-malware_indonesian_poisoned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English malware_indonesian_poisoned BertForSequenceClassification from redblackbird
+author: John Snow Labs
+name: malware_indonesian_poisoned
+date: 2024-09-26
+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.`malware_indonesian_poisoned` is a English model originally trained by redblackbird.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malware_indonesian_poisoned_en_5.5.0_3.0_1727348669590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malware_indonesian_poisoned_en_5.5.0_3.0_1727348669590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malware_indonesian_poisoned|
+|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/redblackbird/malware-id-poisoned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-malware_indonesian_poisoned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-malware_indonesian_poisoned_pipeline_en.md
new file mode 100644
index 00000000000000..c544627bc396fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-malware_indonesian_poisoned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English malware_indonesian_poisoned_pipeline pipeline BertForSequenceClassification from redblackbird
+author: John Snow Labs
+name: malware_indonesian_poisoned_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`malware_indonesian_poisoned_pipeline` is a English model originally trained by redblackbird.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malware_indonesian_poisoned_pipeline_en_5.5.0_3.0_1727348692101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malware_indonesian_poisoned_pipeline_en_5.5.0_3.0_1727348692101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("malware_indonesian_poisoned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("malware_indonesian_poisoned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malware_indonesian_poisoned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/redblackbird/malware-id-poisoned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-marathi_codemixed_abusive_muril_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-26-marathi_codemixed_abusive_muril_pipeline_mr.md
new file mode 100644
index 00000000000000..392d4a3c2b7ef9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-marathi_codemixed_abusive_muril_pipeline_mr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Marathi marathi_codemixed_abusive_muril_pipeline pipeline BertForSequenceClassification from Hate-speech-CNERG
+author: John Snow Labs
+name: marathi_codemixed_abusive_muril_pipeline
+date: 2024-09-26
+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_codemixed_abusive_muril_pipeline` is a Marathi model originally trained by Hate-speech-CNERG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_codemixed_abusive_muril_pipeline_mr_5.5.0_3.0_1727345137386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_codemixed_abusive_muril_pipeline_mr_5.5.0_3.0_1727345137386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_codemixed_abusive_muril_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_codemixed_abusive_muril_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_codemixed_abusive_muril_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|892.7 MB|
+
+## References
+
+https://huggingface.co/Hate-speech-CNERG/marathi-codemixed-abusive-MuRIL
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_all_doc_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_all_doc_pipeline_mr.md
new file mode 100644
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@@ -0,0 +1,70 @@
+---
+layout: model
+title: Marathi marathi_topic_all_doc_pipeline pipeline BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_topic_all_doc_pipeline
+date: 2024-09-26
+tags: [mr, open_source, pipeline, onnx]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_topic_all_doc_pipeline` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_topic_all_doc_pipeline_mr_5.5.0_3.0_1727366162765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_topic_all_doc_pipeline_mr_5.5.0_3.0_1727366162765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_topic_all_doc_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_topic_all_doc_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_topic_all_doc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-topic-all-doc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_long_doc_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_long_doc_pipeline_mr.md
new file mode 100644
index 00000000000000..b8b9f6e9cd40c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_long_doc_pipeline_mr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Marathi marathi_topic_long_doc_pipeline pipeline BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_topic_long_doc_pipeline
+date: 2024-09-26
+tags: [mr, open_source, pipeline, onnx]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_topic_long_doc_pipeline` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_topic_long_doc_pipeline_mr_5.5.0_3.0_1727316106477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_topic_long_doc_pipeline_mr_5.5.0_3.0_1727316106477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_topic_long_doc_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_topic_long_doc_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_topic_long_doc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-topic-long-doc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_medium_doc_mr.md b/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_medium_doc_mr.md
new file mode 100644
index 00000000000000..97c594305adb6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_medium_doc_mr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Marathi marathi_topic_medium_doc BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_topic_medium_doc
+date: 2024-09-26
+tags: [mr, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_topic_medium_doc` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_topic_medium_doc_mr_5.5.0_3.0_1727368199067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_topic_medium_doc_mr_5.5.0_3.0_1727368199067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_topic_medium_doc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|mr|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-topic-medium-doc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_medium_doc_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_medium_doc_pipeline_mr.md
new file mode 100644
index 00000000000000..abfb836ef22c7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-marathi_topic_medium_doc_pipeline_mr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Marathi marathi_topic_medium_doc_pipeline pipeline BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_topic_medium_doc_pipeline
+date: 2024-09-26
+tags: [mr, open_source, pipeline, onnx]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_topic_medium_doc_pipeline` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_topic_medium_doc_pipeline_mr_5.5.0_3.0_1727368245224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_topic_medium_doc_pipeline_mr_5.5.0_3.0_1727368245224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_topic_medium_doc_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_topic_medium_doc_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_topic_medium_doc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-topic-medium-doc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mbti_ckiplab_bert_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-26-mbti_ckiplab_bert_pipeline_zh.md
new file mode 100644
index 00000000000000..53cf68df3dbaf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mbti_ckiplab_bert_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese mbti_ckiplab_bert_pipeline pipeline BertForSequenceClassification from theta
+author: John Snow Labs
+name: mbti_ckiplab_bert_pipeline
+date: 2024-09-26
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbti_ckiplab_bert_pipeline` is a Chinese model originally trained by theta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbti_ckiplab_bert_pipeline_zh_5.5.0_3.0_1727315330457.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbti_ckiplab_bert_pipeline_zh_5.5.0_3.0_1727315330457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mbti_ckiplab_bert_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mbti_ckiplab_bert_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbti_ckiplab_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/theta/MBTI-ckiplab-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-medicalbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-medicalbert_pipeline_en.md
new file mode 100644
index 00000000000000..43e706556c57f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-medicalbert_pipeline_en.md
@@ -0,0 +1,72 @@
+---
+layout: model
+title: English medicalbert_pipeline pipeline DistilBertForTokenClassification from roupenminassian
+author: John Snow Labs
+name: medicalbert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark 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.`medicalbert_pipeline` is a English model originally trained by roupenminassian.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medicalbert_pipeline_en_5.5.0_3.0_1727338894431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medicalbert_pipeline_en_5.5.0_3.0_1727338894431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+pipeline = PretrainedPipeline("medicalbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+```
+```scala
+val pipeline = new PretrainedPipeline("medicalbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medicalbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.1 MB|
+
+## References
+
+References
+
+https://huggingface.co/roupenminassian/medicalBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-memo_bert_wsd_old_pipeline_da.md b/docs/_posts/ahmedlone127/2024-09-26-memo_bert_wsd_old_pipeline_da.md
new file mode 100644
index 00000000000000..08d9b7b03a9307
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-memo_bert_wsd_old_pipeline_da.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Danish memo_bert_wsd_old_pipeline pipeline BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: memo_bert_wsd_old_pipeline
+date: 2024-09-26
+tags: [da, open_source, pipeline, onnx]
+task: Text Classification
+language: da
+edition: Spark 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.`memo_bert_wsd_old_pipeline` is a Danish model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_old_pipeline_da_5.5.0_3.0_1727322440881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/memo_bert_wsd_old_pipeline_da_5.5.0_3.0_1727322440881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("memo_bert_wsd_old_pipeline", lang = "da")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("memo_bert_wsd_old_pipeline", lang = "da")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|memo_bert_wsd_old_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|da|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/yemen2016/MeMo-BERT-WSD_old
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mental_bert_mi_classification_en.md b/docs/_posts/ahmedlone127/2024-09-26-mental_bert_mi_classification_en.md
new file mode 100644
index 00000000000000..54dab116349bb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mental_bert_mi_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mental_bert_mi_classification BertForSequenceClassification from zhohanx
+author: John Snow Labs
+name: mental_bert_mi_classification
+date: 2024-09-26
+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_mi_classification` is a English model originally trained by zhohanx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_bert_mi_classification_en_5.5.0_3.0_1727365111314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_bert_mi_classification_en_5.5.0_3.0_1727365111314.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_mi_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/zhohanx/mental_bert_mi_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mental_bert_mi_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-mental_bert_mi_classification_pipeline_en.md
new file mode 100644
index 00000000000000..b154a33d72a0a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mental_bert_mi_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mental_bert_mi_classification_pipeline pipeline BertForSequenceClassification from zhohanx
+author: John Snow Labs
+name: mental_bert_mi_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_mi_classification_pipeline` is a English model originally trained by zhohanx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_bert_mi_classification_pipeline_en_5.5.0_3.0_1727365132805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_bert_mi_classification_pipeline_en_5.5.0_3.0_1727365132805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mental_bert_mi_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mental_bert_mi_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mental_bert_mi_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/zhohanx/mental_bert_mi_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mental_health_classification_v0_2_en.md b/docs/_posts/ahmedlone127/2024-09-26-mental_health_classification_v0_2_en.md
new file mode 100644
index 00000000000000..3a1b5292a564c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mental_health_classification_v0_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mental_health_classification_v0_2 BertForSequenceClassification from tahaenesaslanturk
+author: John Snow Labs
+name: mental_health_classification_v0_2
+date: 2024-09-26
+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_health_classification_v0_2` is a English model originally trained by tahaenesaslanturk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_health_classification_v0_2_en_5.5.0_3.0_1727353580636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_health_classification_v0_2_en_5.5.0_3.0_1727353580636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mental_health_classification_v0_2|
+|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/tahaenesaslanturk/mental-health-classification-v0.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mental_health_classification_v0_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-mental_health_classification_v0_2_pipeline_en.md
new file mode 100644
index 00000000000000..183f479c8421a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mental_health_classification_v0_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mental_health_classification_v0_2_pipeline pipeline BertForSequenceClassification from tahaenesaslanturk
+author: John Snow Labs
+name: mental_health_classification_v0_2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_health_classification_v0_2_pipeline` is a English model originally trained by tahaenesaslanturk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_health_classification_v0_2_pipeline_en_5.5.0_3.0_1727353646208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_health_classification_v0_2_pipeline_en_5.5.0_3.0_1727353646208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mental_health_classification_v0_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mental_health_classification_v0_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mental_health_classification_v0_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/tahaenesaslanturk/mental-health-classification-v0.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-messages_analyzer_multilabel_en.md b/docs/_posts/ahmedlone127/2024-09-26-messages_analyzer_multilabel_en.md
new file mode 100644
index 00000000000000..fe2fc0f504c3c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-messages_analyzer_multilabel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English messages_analyzer_multilabel BertForSequenceClassification from vkimbris
+author: John Snow Labs
+name: messages_analyzer_multilabel
+date: 2024-09-26
+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.`messages_analyzer_multilabel` is a English model originally trained by vkimbris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/messages_analyzer_multilabel_en_5.5.0_3.0_1727342839602.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/messages_analyzer_multilabel_en_5.5.0_3.0_1727342839602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|messages_analyzer_multilabel|
+|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/vkimbris/messages-analyzer-multilabel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-messages_analyzer_multilabel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-messages_analyzer_multilabel_pipeline_en.md
new file mode 100644
index 00000000000000..d1c7a1165f16e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-messages_analyzer_multilabel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English messages_analyzer_multilabel_pipeline pipeline BertForSequenceClassification from vkimbris
+author: John Snow Labs
+name: messages_analyzer_multilabel_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`messages_analyzer_multilabel_pipeline` is a English model originally trained by vkimbris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/messages_analyzer_multilabel_pipeline_en_5.5.0_3.0_1727342845638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/messages_analyzer_multilabel_pipeline_en_5.5.0_3.0_1727342845638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("messages_analyzer_multilabel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("messages_analyzer_multilabel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|messages_analyzer_multilabel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/vkimbris/messages-analyzer-multilabel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mi_super_modelo_omega4lpha_en.md b/docs/_posts/ahmedlone127/2024-09-26-mi_super_modelo_omega4lpha_en.md
new file mode 100644
index 00000000000000..efcfb08e280561
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mi_super_modelo_omega4lpha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mi_super_modelo_omega4lpha BertForSequenceClassification from omega4lpha
+author: John Snow Labs
+name: mi_super_modelo_omega4lpha
+date: 2024-09-26
+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.`mi_super_modelo_omega4lpha` is a English model originally trained by omega4lpha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mi_super_modelo_omega4lpha_en_5.5.0_3.0_1727334702147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mi_super_modelo_omega4lpha_en_5.5.0_3.0_1727334702147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mi_super_modelo_omega4lpha|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/omega4lpha/mi-super-modelo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-minilm_cdp_all_en.md b/docs/_posts/ahmedlone127/2024-09-26-minilm_cdp_all_en.md
new file mode 100644
index 00000000000000..793426381d52da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-minilm_cdp_all_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English minilm_cdp_all BertForSequenceClassification from iceberg-nlp
+author: John Snow Labs
+name: minilm_cdp_all
+date: 2024-09-26
+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.`minilm_cdp_all` is a English model originally trained by iceberg-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_cdp_all_en_5.5.0_3.0_1727317126507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_cdp_all_en_5.5.0_3.0_1727317126507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_cdp_all|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|124.3 MB|
+
+## References
+
+https://huggingface.co/iceberg-nlp/miniLM-cdp-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-minilm_cdp_all_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-minilm_cdp_all_pipeline_en.md
new file mode 100644
index 00000000000000..4c4da53d4dfd45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-minilm_cdp_all_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English minilm_cdp_all_pipeline pipeline BertForSequenceClassification from iceberg-nlp
+author: John Snow Labs
+name: minilm_cdp_all_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`minilm_cdp_all_pipeline` is a English model originally trained by iceberg-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_cdp_all_pipeline_en_5.5.0_3.0_1727317133655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_cdp_all_pipeline_en_5.5.0_3.0_1727317133655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("minilm_cdp_all_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("minilm_cdp_all_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_cdp_all_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|124.3 MB|
+
+## References
+
+https://huggingface.co/iceberg-nlp/miniLM-cdp-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-miread_en.md b/docs/_posts/ahmedlone127/2024-09-26-miread_en.md
new file mode 100644
index 00000000000000..ffc4f136e279df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-miread_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English miread BertForSequenceClassification from arazd
+author: John Snow Labs
+name: miread
+date: 2024-09-26
+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.`miread` is a English model originally trained by arazd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/miread_en_5.5.0_3.0_1727356890540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/miread_en_5.5.0_3.0_1727356890540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|miread|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|420.1 MB|
+
+## References
+
+https://huggingface.co/arazd/MIReAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-misinformation_covidbert_base_german_cased_en.md b/docs/_posts/ahmedlone127/2024-09-26-misinformation_covidbert_base_german_cased_en.md
new file mode 100644
index 00000000000000..20e4ce1fd0437d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-misinformation_covidbert_base_german_cased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English misinformation_covidbert_base_german_cased BertForSequenceClassification from Ghunghru
+author: John Snow Labs
+name: misinformation_covidbert_base_german_cased
+date: 2024-09-26
+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.`misinformation_covidbert_base_german_cased` is a English model originally trained by Ghunghru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/misinformation_covidbert_base_german_cased_en_5.5.0_3.0_1727348809538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/misinformation_covidbert_base_german_cased_en_5.5.0_3.0_1727348809538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|misinformation_covidbert_base_german_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/Ghunghru/Misinformation-Covidbert-base-german-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-misinformation_covidbert_base_german_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-misinformation_covidbert_base_german_cased_pipeline_en.md
new file mode 100644
index 00000000000000..82a26c469d3c7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-misinformation_covidbert_base_german_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English misinformation_covidbert_base_german_cased_pipeline pipeline BertForSequenceClassification from Ghunghru
+author: John Snow Labs
+name: misinformation_covidbert_base_german_cased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`misinformation_covidbert_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_covidbert_base_german_cased_pipeline_en_5.5.0_3.0_1727348834657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/misinformation_covidbert_base_german_cased_pipeline_en_5.5.0_3.0_1727348834657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("misinformation_covidbert_base_german_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("misinformation_covidbert_base_german_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|misinformation_covidbert_base_german_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/Ghunghru/Misinformation-Covidbert-base-german-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mnd_tweetevalbert_model_en.md b/docs/_posts/ahmedlone127/2024-09-26-mnd_tweetevalbert_model_en.md
new file mode 100644
index 00000000000000..e036199589cd9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mnd_tweetevalbert_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mnd_tweetevalbert_model BertForSequenceClassification from barbieheimer
+author: John Snow Labs
+name: mnd_tweetevalbert_model
+date: 2024-09-26
+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.`mnd_tweetevalbert_model` is a English model originally trained by barbieheimer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mnd_tweetevalbert_model_en_5.5.0_3.0_1727360023973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mnd_tweetevalbert_model_en_5.5.0_3.0_1727360023973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mnd_tweetevalbert_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/barbieheimer/MND_TweetEvalBert_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mobilebert_uncased_finetuned_cola_en.md b/docs/_posts/ahmedlone127/2024-09-26-mobilebert_uncased_finetuned_cola_en.md
new file mode 100644
index 00000000000000..c8f6c501b4e479
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mobilebert_uncased_finetuned_cola_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mobilebert_uncased_finetuned_cola BertForSequenceClassification from obudzecie
+author: John Snow Labs
+name: mobilebert_uncased_finetuned_cola
+date: 2024-09-26
+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.`mobilebert_uncased_finetuned_cola` is a English model originally trained by obudzecie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_finetuned_cola_en_5.5.0_3.0_1727321107028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_finetuned_cola_en_5.5.0_3.0_1727321107028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_uncased_finetuned_cola|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|92.5 MB|
+
+## References
+
+https://huggingface.co/obudzecie/mobilebert-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mobilebert_uncased_finetuned_cola_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-mobilebert_uncased_finetuned_cola_pipeline_en.md
new file mode 100644
index 00000000000000..186584219a7826
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mobilebert_uncased_finetuned_cola_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mobilebert_uncased_finetuned_cola_pipeline pipeline BertForSequenceClassification from obudzecie
+author: John Snow Labs
+name: mobilebert_uncased_finetuned_cola_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`mobilebert_uncased_finetuned_cola_pipeline` is a English model originally trained by obudzecie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_finetuned_cola_pipeline_en_5.5.0_3.0_1727321111625.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_finetuned_cola_pipeline_en_5.5.0_3.0_1727321111625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mobilebert_uncased_finetuned_cola_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mobilebert_uncased_finetuned_cola_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_uncased_finetuned_cola_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|92.6 MB|
+
+## References
+
+https://huggingface.co/obudzecie/mobilebert-uncased-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mobilebert_uncased_title2genre_en.md b/docs/_posts/ahmedlone127/2024-09-26-mobilebert_uncased_title2genre_en.md
new file mode 100644
index 00000000000000..8a34a2ee23b617
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mobilebert_uncased_title2genre_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mobilebert_uncased_title2genre BertForSequenceClassification from BEE-spoke-data
+author: John Snow Labs
+name: mobilebert_uncased_title2genre
+date: 2024-09-26
+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.`mobilebert_uncased_title2genre` is a English model originally trained by BEE-spoke-data.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_title2genre_en_5.5.0_3.0_1727348558823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_uncased_title2genre_en_5.5.0_3.0_1727348558823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_uncased_title2genre|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|92.6 MB|
+
+## References
+
+https://huggingface.co/BEE-spoke-data/mobilebert-uncased-title2genre
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mod4team5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-mod4team5_pipeline_en.md
new file mode 100644
index 00000000000000..c08a28db06c217
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mod4team5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mod4team5_pipeline pipeline BertForSequenceClassification from WyattMiller
+author: John Snow Labs
+name: mod4team5_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`mod4team5_pipeline` is a English model originally trained by WyattMiller.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mod4team5_pipeline_en_5.5.0_3.0_1727346804947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mod4team5_pipeline_en_5.5.0_3.0_1727346804947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mod4team5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mod4team5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mod4team5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/WyattMiller/Mod4Team5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mod6_en.md b/docs/_posts/ahmedlone127/2024-09-26-mod6_en.md
new file mode 100644
index 00000000000000..65b19b3b9983af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mod6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mod6 BertForSequenceClassification from mollypak
+author: John Snow Labs
+name: mod6
+date: 2024-09-26
+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.`mod6` is a English model originally trained by mollypak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mod6_en_5.5.0_3.0_1727317922374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mod6_en_5.5.0_3.0_1727317922374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mod6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mollypak/mod6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mod6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-mod6_pipeline_en.md
new file mode 100644
index 00000000000000..dfc6b318ba0d21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mod6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mod6_pipeline pipeline BertForSequenceClassification from mollypak
+author: John Snow Labs
+name: mod6_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`mod6_pipeline` is a English model originally trained by mollypak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mod6_pipeline_en_5.5.0_3.0_1727317948986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mod6_pipeline_en_5.5.0_3.0_1727317948986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mod6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mod6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mod6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/mollypak/mod6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-model_bert__trained_in_ishate__seed_0_en.md b/docs/_posts/ahmedlone127/2024-09-26-model_bert__trained_in_ishate__seed_0_en.md
new file mode 100644
index 00000000000000..409884cf7e7a4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-model_bert__trained_in_ishate__seed_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_bert__trained_in_ishate__seed_0 BertForSequenceClassification from BenjaminOcampo
+author: John Snow Labs
+name: model_bert__trained_in_ishate__seed_0
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_bert__trained_in_ishate__seed_0` is a English model originally trained by BenjaminOcampo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_bert__trained_in_ishate__seed_0_en_5.5.0_3.0_1727350866097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_bert__trained_in_ishate__seed_0_en_5.5.0_3.0_1727350866097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_bert__trained_in_ishate__seed_0|
+|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/BenjaminOcampo/model-bert__trained-in-ishate__seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-model_bert__trained_in_ishate__seed_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-model_bert__trained_in_ishate__seed_0_pipeline_en.md
new file mode 100644
index 00000000000000..fd43faf577b36d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-model_bert__trained_in_ishate__seed_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_bert__trained_in_ishate__seed_0_pipeline pipeline BertForSequenceClassification from BenjaminOcampo
+author: John Snow Labs
+name: model_bert__trained_in_ishate__seed_0_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`model_bert__trained_in_ishate__seed_0_pipeline` is a English model originally trained by BenjaminOcampo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_bert__trained_in_ishate__seed_0_pipeline_en_5.5.0_3.0_1727350888600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_bert__trained_in_ishate__seed_0_pipeline_en_5.5.0_3.0_1727350888600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_bert__trained_in_ishate__seed_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_bert__trained_in_ishate__seed_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_bert__trained_in_ishate__seed_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/BenjaminOcampo/model-bert__trained-in-ishate__seed-0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-model_koura_en.md b/docs/_posts/ahmedlone127/2024-09-26-model_koura_en.md
new file mode 100644
index 00000000000000..6536fb3b77fe71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-model_koura_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_koura BertForSequenceClassification from Koura
+author: John Snow Labs
+name: model_koura
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_koura` is a English model originally trained by Koura.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_koura_en_5.5.0_3.0_1727321536029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_koura_en_5.5.0_3.0_1727321536029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_koura|
+|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/Koura/Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-model_x_en.md b/docs/_posts/ahmedlone127/2024-09-26-model_x_en.md
new file mode 100644
index 00000000000000..97c52e071d0574
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-model_x_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_x BertForSequenceClassification from Azimjoon
+author: John Snow Labs
+name: model_x
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_x` is a English model originally trained by Azimjoon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_x_en_5.5.0_3.0_1727343349635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_x_en_5.5.0_3.0_1727343349635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_x|
+|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/Azimjoon/Model_X
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-model_x_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-model_x_pipeline_en.md
new file mode 100644
index 00000000000000..9d8d76fe2cfe9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-model_x_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_x_pipeline pipeline BertForSequenceClassification from Azimjoon
+author: John Snow Labs
+name: model_x_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`model_x_pipeline` is a English model originally trained by Azimjoon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_x_pipeline_en_5.5.0_3.0_1727343371158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_x_pipeline_en_5.5.0_3.0_1727343371158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_x_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_x_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_x_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Azimjoon/Model_X
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-models_bert_1716017651_593548_en.md b/docs/_posts/ahmedlone127/2024-09-26-models_bert_1716017651_593548_en.md
new file mode 100644
index 00000000000000..5af9fa5cee8068
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-models_bert_1716017651_593548_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English models_bert_1716017651_593548 BertForSequenceClassification from chen1212
+author: John Snow Labs
+name: models_bert_1716017651_593548
+date: 2024-09-26
+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.`models_bert_1716017651_593548` is a English model originally trained by chen1212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/models_bert_1716017651_593548_en_5.5.0_3.0_1727317142788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/models_bert_1716017651_593548_en_5.5.0_3.0_1727317142788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|models_bert_1716017651_593548|
+|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/chen1212/Models-BERT-1716017651.593548
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-models_bert_1716017651_593548_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-models_bert_1716017651_593548_pipeline_en.md
new file mode 100644
index 00000000000000..c44909ef86068f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-models_bert_1716017651_593548_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English models_bert_1716017651_593548_pipeline pipeline BertForSequenceClassification from chen1212
+author: John Snow Labs
+name: models_bert_1716017651_593548_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`models_bert_1716017651_593548_pipeline` is a English model originally trained by chen1212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/models_bert_1716017651_593548_pipeline_en_5.5.0_3.0_1727317164729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/models_bert_1716017651_593548_pipeline_en_5.5.0_3.0_1727317164729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("models_bert_1716017651_593548_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("models_bert_1716017651_593548_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|models_bert_1716017651_593548_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/chen1212/Models-BERT-1716017651.593548
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-movie_genre_classifier_hajimr80_en.md b/docs/_posts/ahmedlone127/2024-09-26-movie_genre_classifier_hajimr80_en.md
new file mode 100644
index 00000000000000..45d26024f0edde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-movie_genre_classifier_hajimr80_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English movie_genre_classifier_hajimr80 BertForSequenceClassification from hajimr80
+author: John Snow Labs
+name: movie_genre_classifier_hajimr80
+date: 2024-09-26
+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.`movie_genre_classifier_hajimr80` is a English model originally trained by hajimr80.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_classifier_hajimr80_en_5.5.0_3.0_1727310516661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_classifier_hajimr80_en_5.5.0_3.0_1727310516661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_genre_classifier_hajimr80|
+|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/hajimr80/Movie_Genre_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-movie_genre_classifier_hajimr80_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-movie_genre_classifier_hajimr80_pipeline_en.md
new file mode 100644
index 00000000000000..ecd0d7453e442a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-movie_genre_classifier_hajimr80_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English movie_genre_classifier_hajimr80_pipeline pipeline BertForSequenceClassification from hajimr80
+author: John Snow Labs
+name: movie_genre_classifier_hajimr80_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`movie_genre_classifier_hajimr80_pipeline` is a English model originally trained by hajimr80.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_classifier_hajimr80_pipeline_en_5.5.0_3.0_1727310538193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_classifier_hajimr80_pipeline_en_5.5.0_3.0_1727310538193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("movie_genre_classifier_hajimr80_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("movie_genre_classifier_hajimr80_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_genre_classifier_hajimr80_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/hajimr80/Movie_Genre_Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-movie_genre_predictions_en.md b/docs/_posts/ahmedlone127/2024-09-26-movie_genre_predictions_en.md
new file mode 100644
index 00000000000000..41285c28be002e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-movie_genre_predictions_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English movie_genre_predictions BertForSequenceClassification from anubhavmaity
+author: John Snow Labs
+name: movie_genre_predictions
+date: 2024-09-26
+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.`movie_genre_predictions` is a English model originally trained by anubhavmaity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_predictions_en_5.5.0_3.0_1727366582558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_predictions_en_5.5.0_3.0_1727366582558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_genre_predictions|
+|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/anubhavmaity/movie-genre-predictions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-movie_genre_predictions_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-movie_genre_predictions_pipeline_en.md
new file mode 100644
index 00000000000000..9c30da5fe816b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-movie_genre_predictions_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English movie_genre_predictions_pipeline pipeline BertForSequenceClassification from anubhavmaity
+author: John Snow Labs
+name: movie_genre_predictions_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`movie_genre_predictions_pipeline` is a English model originally trained by anubhavmaity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_predictions_pipeline_en_5.5.0_3.0_1727366603732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_predictions_pipeline_en_5.5.0_3.0_1727366603732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("movie_genre_predictions_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("movie_genre_predictions_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_genre_predictions_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/anubhavmaity/movie-genre-predictions
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-moviebertreview_sentimentprediction_model_afia_manubea_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-moviebertreview_sentimentprediction_model_afia_manubea_pipeline_en.md
new file mode 100644
index 00000000000000..a56a5093b0a4bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-moviebertreview_sentimentprediction_model_afia_manubea_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English moviebertreview_sentimentprediction_model_afia_manubea_pipeline pipeline BertForSequenceClassification from Afia-manubea
+author: John Snow Labs
+name: moviebertreview_sentimentprediction_model_afia_manubea_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`moviebertreview_sentimentprediction_model_afia_manubea_pipeline` is a English model originally trained by Afia-manubea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moviebertreview_sentimentprediction_model_afia_manubea_pipeline_en_5.5.0_3.0_1727322708382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moviebertreview_sentimentprediction_model_afia_manubea_pipeline_en_5.5.0_3.0_1727322708382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("moviebertreview_sentimentprediction_model_afia_manubea_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("moviebertreview_sentimentprediction_model_afia_manubea_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moviebertreview_sentimentprediction_model_afia_manubea_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Afia-manubea/MovieBertReview-SentimentPrediction-Model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-muril_indicvarna_tiny_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-26-muril_indicvarna_tiny_sentiment_en.md
new file mode 100644
index 00000000000000..c7d50755cb7ab9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-muril_indicvarna_tiny_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English muril_indicvarna_tiny_sentiment BertForSequenceClassification from dynopii
+author: John Snow Labs
+name: muril_indicvarna_tiny_sentiment
+date: 2024-09-26
+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.`muril_indicvarna_tiny_sentiment` is a English model originally trained by dynopii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/muril_indicvarna_tiny_sentiment_en_5.5.0_3.0_1727341116877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/muril_indicvarna_tiny_sentiment_en_5.5.0_3.0_1727341116877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|muril_indicvarna_tiny_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|892.6 MB|
+
+## References
+
+https://huggingface.co/dynopii/muril-indicvarna-tiny-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-muril_indicvarna_tiny_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-muril_indicvarna_tiny_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..dc78f114e0802d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-muril_indicvarna_tiny_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English muril_indicvarna_tiny_sentiment_pipeline pipeline BertForSequenceClassification from dynopii
+author: John Snow Labs
+name: muril_indicvarna_tiny_sentiment_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`muril_indicvarna_tiny_sentiment_pipeline` is a English model originally trained by dynopii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/muril_indicvarna_tiny_sentiment_pipeline_en_5.5.0_3.0_1727341161715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/muril_indicvarna_tiny_sentiment_pipeline_en_5.5.0_3.0_1727341161715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("muril_indicvarna_tiny_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("muril_indicvarna_tiny_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|muril_indicvarna_tiny_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|892.7 MB|
+
+## References
+
+https://huggingface.co/dynopii/muril-indicvarna-tiny-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mus_promoter_finetuned_lora_bert_base_lastln_t2t_en.md b/docs/_posts/ahmedlone127/2024-09-26-mus_promoter_finetuned_lora_bert_base_lastln_t2t_en.md
new file mode 100644
index 00000000000000..13dbf072b22d98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mus_promoter_finetuned_lora_bert_base_lastln_t2t_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mus_promoter_finetuned_lora_bert_base_lastln_t2t BertForSequenceClassification from LiukG
+author: John Snow Labs
+name: mus_promoter_finetuned_lora_bert_base_lastln_t2t
+date: 2024-09-26
+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.`mus_promoter_finetuned_lora_bert_base_lastln_t2t` is a English model originally trained by LiukG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mus_promoter_finetuned_lora_bert_base_lastln_t2t_en_5.5.0_3.0_1727350159590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mus_promoter_finetuned_lora_bert_base_lastln_t2t_en_5.5.0_3.0_1727350159590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mus_promoter_finetuned_lora_bert_base_lastln_t2t|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|322.3 MB|
+
+## References
+
+https://huggingface.co/LiukG/mus_promoter-finetuned-lora-bert-base-lastln-t2t
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline_en.md
new file mode 100644
index 00000000000000..aa145d10009d1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline pipeline BertForSequenceClassification from LiukG
+author: John Snow Labs
+name: mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline` is a English model originally trained by LiukG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline_en_5.5.0_3.0_1727350215581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline_en_5.5.0_3.0_1727350215581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|322.3 MB|
+
+## References
+
+https://huggingface.co/LiukG/mus_promoter-finetuned-lora-bert-base-lastln-t2t
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding10model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding10model_pipeline_en.md
new file mode 100644
index 00000000000000..a05bc5056c15c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding10model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_agnews_padding10model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_agnews_padding10model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`n_bert_agnews_padding10model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding10model_pipeline_en_5.5.0_3.0_1727353648501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding10model_pipeline_en_5.5.0_3.0_1727353648501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_agnews_padding10model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_agnews_padding10model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_agnews_padding10model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_agnews_padding10model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding30model_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding30model_en.md
new file mode 100644
index 00000000000000..b51cfb299e2602
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding30model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_agnews_padding30model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_agnews_padding30model
+date: 2024-09-26
+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.`n_bert_agnews_padding30model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding30model_en_5.5.0_3.0_1727350242339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding30model_en_5.5.0_3.0_1727350242339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_agnews_padding30model|
+|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/Realgon/N_bert_agnews_padding30model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding30model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding30model_pipeline_en.md
new file mode 100644
index 00000000000000..91fe1924aed3d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding30model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_agnews_padding30model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_agnews_padding30model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`n_bert_agnews_padding30model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding30model_pipeline_en_5.5.0_3.0_1727350264502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding30model_pipeline_en_5.5.0_3.0_1727350264502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_agnews_padding30model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_agnews_padding30model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_agnews_padding30model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_agnews_padding30model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding70model_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding70model_en.md
new file mode 100644
index 00000000000000..52d7fc7ee1c82d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding70model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_agnews_padding70model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_agnews_padding70model
+date: 2024-09-26
+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.`n_bert_agnews_padding70model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding70model_en_5.5.0_3.0_1727345635263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding70model_en_5.5.0_3.0_1727345635263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_agnews_padding70model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_agnews_padding70model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding70model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding70model_pipeline_en.md
new file mode 100644
index 00000000000000..52d113bda5c5d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_agnews_padding70model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_agnews_padding70model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_agnews_padding70model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`n_bert_agnews_padding70model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding70model_pipeline_en_5.5.0_3.0_1727345657091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_agnews_padding70model_pipeline_en_5.5.0_3.0_1727345657091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_agnews_padding70model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_agnews_padding70model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_agnews_padding70model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_agnews_padding70model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding0model_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding0model_en.md
new file mode 100644
index 00000000000000..f9fc9f01ee387b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding0model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_imdb_padding0model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding0model
+date: 2024-09-26
+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.`n_bert_imdb_padding0model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding0model_en_5.5.0_3.0_1727341396224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding0model_en_5.5.0_3.0_1727341396224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding0model|
+|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/Realgon/N_bert_imdb_padding0model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding0model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding0model_pipeline_en.md
new file mode 100644
index 00000000000000..ac5165caa35879
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding0model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_imdb_padding0model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding0model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`n_bert_imdb_padding0model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding0model_pipeline_en_5.5.0_3.0_1727341417418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding0model_pipeline_en_5.5.0_3.0_1727341417418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_imdb_padding0model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_imdb_padding0model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding0model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_imdb_padding0model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding10model_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding10model_en.md
new file mode 100644
index 00000000000000..77780375af7d1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding10model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_imdb_padding10model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding10model
+date: 2024-09-26
+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.`n_bert_imdb_padding10model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding10model_en_5.5.0_3.0_1727315178326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding10model_en_5.5.0_3.0_1727315178326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding10model|
+|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/Realgon/N_bert_imdb_padding10model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding40model_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding40model_en.md
new file mode 100644
index 00000000000000..799cb3a585dd1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding40model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_imdb_padding40model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding40model
+date: 2024-09-26
+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.`n_bert_imdb_padding40model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding40model_en_5.5.0_3.0_1727370050296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding40model_en_5.5.0_3.0_1727370050296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding40model|
+|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/Realgon/N_bert_imdb_padding40model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding50model_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding50model_en.md
new file mode 100644
index 00000000000000..52bf7ae3dc2cdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding50model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_imdb_padding50model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding50model
+date: 2024-09-26
+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.`n_bert_imdb_padding50model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding50model_en_5.5.0_3.0_1727336572846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding50model_en_5.5.0_3.0_1727336572846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding50model|
+|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/Realgon/N_bert_imdb_padding50model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding50model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding50model_pipeline_en.md
new file mode 100644
index 00000000000000..e2446bd0cac138
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_imdb_padding50model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_imdb_padding50model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_imdb_padding50model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`n_bert_imdb_padding50model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding50model_pipeline_en_5.5.0_3.0_1727336594301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_imdb_padding50model_pipeline_en_5.5.0_3.0_1727336594301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_imdb_padding50model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_imdb_padding50model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_imdb_padding50model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_imdb_padding50model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_sst5_padding40model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_sst5_padding40model_pipeline_en.md
new file mode 100644
index 00000000000000..dcf50288a74979
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_sst5_padding40model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_sst5_padding40model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_sst5_padding40model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`n_bert_sst5_padding40model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_sst5_padding40model_pipeline_en_5.5.0_3.0_1727313834039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_sst5_padding40model_pipeline_en_5.5.0_3.0_1727313834039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_sst5_padding40model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_sst5_padding40model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_sst5_padding40model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_sst5_padding40model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_sst5_padding50model_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_sst5_padding50model_en.md
new file mode 100644
index 00000000000000..d14d32e0b5d703
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_sst5_padding50model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_bert_sst5_padding50model BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_sst5_padding50model
+date: 2024-09-26
+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.`n_bert_sst5_padding50model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_sst5_padding50model_en_5.5.0_3.0_1727349077799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_sst5_padding50model_en_5.5.0_3.0_1727349077799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_sst5_padding50model|
+|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/Realgon/N_bert_sst5_padding50model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-n_bert_sst5_padding70model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-n_bert_sst5_padding70model_pipeline_en.md
new file mode 100644
index 00000000000000..c9cc4ceb05a5ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-n_bert_sst5_padding70model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_bert_sst5_padding70model_pipeline pipeline BertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_bert_sst5_padding70model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`n_bert_sst5_padding70model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_bert_sst5_padding70model_pipeline_en_5.5.0_3.0_1727355087200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_bert_sst5_padding70model_pipeline_en_5.5.0_3.0_1727355087200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_bert_sst5_padding70model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_bert_sst5_padding70model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_bert_sst5_padding70model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_bert_sst5_padding70model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-named_entity_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-named_entity_model_pipeline_en.md
new file mode 100644
index 00000000000000..60b46b0f7b625b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-named_entity_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English named_entity_model_pipeline pipeline BertForSequenceClassification from omniamnaeem
+author: John Snow Labs
+name: named_entity_model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`named_entity_model_pipeline` is a English model originally trained by omniamnaeem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/named_entity_model_pipeline_en_5.5.0_3.0_1727328145551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/named_entity_model_pipeline_en_5.5.0_3.0_1727328145551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("named_entity_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("named_entity_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|named_entity_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/omniamnaeem/Named_Entity_Model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-namedescrbertfinal_en.md b/docs/_posts/ahmedlone127/2024-09-26-namedescrbertfinal_en.md
new file mode 100644
index 00000000000000..dd9b108a75c94f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-namedescrbertfinal_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English namedescrbertfinal BertForSequenceClassification from madgnome
+author: John Snow Labs
+name: namedescrbertfinal
+date: 2024-09-26
+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.`namedescrbertfinal` is a English model originally trained by madgnome.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/namedescrbertfinal_en_5.5.0_3.0_1727328802867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/namedescrbertfinal_en_5.5.0_3.0_1727328802867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|namedescrbertfinal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|669.0 MB|
+
+## References
+
+https://huggingface.co/madgnome/namedescrbertfinal
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-nbbert_ed3_en.md b/docs/_posts/ahmedlone127/2024-09-26-nbbert_ed3_en.md
new file mode 100644
index 00000000000000..1b22c6431c101f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-nbbert_ed3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nbbert_ed3 BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: nbbert_ed3
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nbbert_ed3` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nbbert_ed3_en_5.5.0_3.0_1727334045623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nbbert_ed3_en_5.5.0_3.0_1727334045623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nbbert_ed3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|668.4 MB|
+
+## References
+
+https://huggingface.co/yemen2016/nbbert_ED3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-nlp4012_bert_base_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-nlp4012_bert_base_cased_pipeline_en.md
new file mode 100644
index 00000000000000..7ae530a0c76b12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-nlp4012_bert_base_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp4012_bert_base_cased_pipeline pipeline BertForSequenceClassification from diyarhamedi
+author: John Snow Labs
+name: nlp4012_bert_base_cased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`nlp4012_bert_base_cased_pipeline` is a English model originally trained by diyarhamedi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp4012_bert_base_cased_pipeline_en_5.5.0_3.0_1727340874355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp4012_bert_base_cased_pipeline_en_5.5.0_3.0_1727340874355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp4012_bert_base_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp4012_bert_base_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp4012_bert_base_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/diyarhamedi/nlp4012-bert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-nlp_reviews_en.md b/docs/_posts/ahmedlone127/2024-09-26-nlp_reviews_en.md
new file mode 100644
index 00000000000000..b383f7aa68f700
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-nlp_reviews_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_reviews BertForSequenceClassification from JosephTK
+author: John Snow Labs
+name: nlp_reviews
+date: 2024-09-26
+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.`nlp_reviews` is a English model originally trained by JosephTK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_reviews_en_5.5.0_3.0_1727363279692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_reviews_en_5.5.0_3.0_1727363279692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_reviews|
+|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/JosephTK/NLP-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-nlpfinalbert0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-nlpfinalbert0_pipeline_en.md
new file mode 100644
index 00000000000000..10d0aef78fa9bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-nlpfinalbert0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlpfinalbert0_pipeline pipeline BertForSequenceClassification from zelihami
+author: John Snow Labs
+name: nlpfinalbert0_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`nlpfinalbert0_pipeline` is a English model originally trained by zelihami.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlpfinalbert0_pipeline_en_5.5.0_3.0_1727357752860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlpfinalbert0_pipeline_en_5.5.0_3.0_1727357752860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlpfinalbert0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlpfinalbert0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlpfinalbert0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|691.6 MB|
+
+## References
+
+https://huggingface.co/zelihami/nlpfinalbert0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-norwegian_bokml_bert_base_ctr_regression_en.md b/docs/_posts/ahmedlone127/2024-09-26-norwegian_bokml_bert_base_ctr_regression_en.md
new file mode 100644
index 00000000000000..8c69968d7c7e5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-norwegian_bokml_bert_base_ctr_regression_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English norwegian_bokml_bert_base_ctr_regression BertForSequenceClassification from thusken
+author: John Snow Labs
+name: norwegian_bokml_bert_base_ctr_regression
+date: 2024-09-26
+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.`norwegian_bokml_bert_base_ctr_regression` is a English model originally trained by thusken.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_base_ctr_regression_en_5.5.0_3.0_1727311977136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_base_ctr_regression_en_5.5.0_3.0_1727311977136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norwegian_bokml_bert_base_ctr_regression|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|668.4 MB|
+
+## References
+
+https://huggingface.co/thusken/nb-bert-base-ctr-regression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-norwegian_bokml_bert_finetuned_on_imdb_en.md b/docs/_posts/ahmedlone127/2024-09-26-norwegian_bokml_bert_finetuned_on_imdb_en.md
new file mode 100644
index 00000000000000..6c2a9b1076ffe4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-norwegian_bokml_bert_finetuned_on_imdb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English norwegian_bokml_bert_finetuned_on_imdb BertForSequenceClassification from karolill
+author: John Snow Labs
+name: norwegian_bokml_bert_finetuned_on_imdb
+date: 2024-09-26
+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.`norwegian_bokml_bert_finetuned_on_imdb` is a English model originally trained by karolill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_finetuned_on_imdb_en_5.5.0_3.0_1727350332777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_finetuned_on_imdb_en_5.5.0_3.0_1727350332777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norwegian_bokml_bert_finetuned_on_imdb|
+|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/karolill/nb-bert-finetuned-on-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-norwegian_bokml_bert_finetuned_on_imdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-norwegian_bokml_bert_finetuned_on_imdb_pipeline_en.md
new file mode 100644
index 00000000000000..04f080d80d57cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-norwegian_bokml_bert_finetuned_on_imdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English norwegian_bokml_bert_finetuned_on_imdb_pipeline pipeline BertForSequenceClassification from karolill
+author: John Snow Labs
+name: norwegian_bokml_bert_finetuned_on_imdb_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`norwegian_bokml_bert_finetuned_on_imdb_pipeline` is a English model originally trained by karolill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_finetuned_on_imdb_pipeline_en_5.5.0_3.0_1727350400236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norwegian_bokml_bert_finetuned_on_imdb_pipeline_en_5.5.0_3.0_1727350400236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("norwegian_bokml_bert_finetuned_on_imdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("norwegian_bokml_bert_finetuned_on_imdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norwegian_bokml_bert_finetuned_on_imdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/karolill/nb-bert-finetuned-on-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-nova_threat_analyzer_swe_pipeline_sv.md b/docs/_posts/ahmedlone127/2024-09-26-nova_threat_analyzer_swe_pipeline_sv.md
new file mode 100644
index 00000000000000..f1a9edc5313d75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-nova_threat_analyzer_swe_pipeline_sv.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Swedish nova_threat_analyzer_swe_pipeline pipeline BertForSequenceClassification from Arro94
+author: John Snow Labs
+name: nova_threat_analyzer_swe_pipeline
+date: 2024-09-26
+tags: [sv, open_source, pipeline, onnx]
+task: Text Classification
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nova_threat_analyzer_swe_pipeline` is a Swedish model originally trained by Arro94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nova_threat_analyzer_swe_pipeline_sv_5.5.0_3.0_1727321013423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nova_threat_analyzer_swe_pipeline_sv_5.5.0_3.0_1727321013423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nova_threat_analyzer_swe_pipeline", lang = "sv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nova_threat_analyzer_swe_pipeline", lang = "sv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nova_threat_analyzer_swe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sv|
+|Size:|467.5 MB|
+
+## References
+
+https://huggingface.co/Arro94/nova-threat-analyzer-swe
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-nova_threat_analyzer_swe_sv.md b/docs/_posts/ahmedlone127/2024-09-26-nova_threat_analyzer_swe_sv.md
new file mode 100644
index 00000000000000..cbd56e3c1d9213
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-nova_threat_analyzer_swe_sv.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Swedish nova_threat_analyzer_swe BertForSequenceClassification from Arro94
+author: John Snow Labs
+name: nova_threat_analyzer_swe
+date: 2024-09-26
+tags: [sv, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: sv
+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.`nova_threat_analyzer_swe` is a Swedish model originally trained by Arro94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nova_threat_analyzer_swe_sv_5.5.0_3.0_1727320986714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nova_threat_analyzer_swe_sv_5.5.0_3.0_1727320986714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nova_threat_analyzer_swe|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|sv|
+|Size:|467.4 MB|
+
+## References
+
+https://huggingface.co/Arro94/nova-threat-analyzer-swe
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ocr8_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-26-ocr8_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..b74d16ac331682
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ocr8_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ocr8_bert_base_uncased BertForSequenceClassification from sebastiencormier
+author: John Snow Labs
+name: ocr8_bert_base_uncased
+date: 2024-09-26
+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.`ocr8_bert_base_uncased` is a English model originally trained by sebastiencormier.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ocr8_bert_base_uncased_en_5.5.0_3.0_1727345301245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ocr8_bert_base_uncased_en_5.5.0_3.0_1727345301245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ocr8_bert_base_uncased|
+|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/sebastiencormier/ocr8_bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ocr8_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-ocr8_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..1dd89820106d2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ocr8_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ocr8_bert_base_uncased_pipeline pipeline BertForSequenceClassification from sebastiencormier
+author: John Snow Labs
+name: ocr8_bert_base_uncased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ocr8_bert_base_uncased_pipeline` is a English model originally trained by sebastiencormier.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ocr8_bert_base_uncased_pipeline_en_5.5.0_3.0_1727345322429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ocr8_bert_base_uncased_pipeline_en_5.5.0_3.0_1727345322429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ocr8_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ocr8_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ocr8_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sebastiencormier/ocr8_bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-odia_topic_all_doc_pipeline_or.md b/docs/_posts/ahmedlone127/2024-09-26-odia_topic_all_doc_pipeline_or.md
new file mode 100644
index 00000000000000..be5d2ceba30262
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-odia_topic_all_doc_pipeline_or.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Oriya (macrolanguage) odia_topic_all_doc_pipeline pipeline BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: odia_topic_all_doc_pipeline
+date: 2024-09-26
+tags: [or, open_source, pipeline, onnx]
+task: Text Classification
+language: or
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`odia_topic_all_doc_pipeline` is a Oriya (macrolanguage) model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/odia_topic_all_doc_pipeline_or_5.5.0_3.0_1727369060155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/odia_topic_all_doc_pipeline_or_5.5.0_3.0_1727369060155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("odia_topic_all_doc_pipeline", lang = "or")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("odia_topic_all_doc_pipeline", lang = "or")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|odia_topic_all_doc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|or|
+|Size:|892.7 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/odia-topic-all-doc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-paraphrase_bert_portuguese_en.md b/docs/_posts/ahmedlone127/2024-09-26-paraphrase_bert_portuguese_en.md
new file mode 100644
index 00000000000000..e25c0140ccad62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-paraphrase_bert_portuguese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English paraphrase_bert_portuguese BertForSequenceClassification from erickrribeiro
+author: John Snow Labs
+name: paraphrase_bert_portuguese
+date: 2024-09-26
+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.`paraphrase_bert_portuguese` is a English model originally trained by erickrribeiro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paraphrase_bert_portuguese_en_5.5.0_3.0_1727356353188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paraphrase_bert_portuguese_en_5.5.0_3.0_1727356353188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paraphrase_bert_portuguese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/erickrribeiro/paraphrase-bert-portuguese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-paraphrase_detection_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-paraphrase_detection_bert_pipeline_en.md
new file mode 100644
index 00000000000000..de8645ec8a0c91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-paraphrase_detection_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English paraphrase_detection_bert_pipeline pipeline BertForSequenceClassification from Isezerano
+author: John Snow Labs
+name: paraphrase_detection_bert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`paraphrase_detection_bert_pipeline` is a English model originally trained by Isezerano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paraphrase_detection_bert_pipeline_en_5.5.0_3.0_1727340764717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paraphrase_detection_bert_pipeline_en_5.5.0_3.0_1727340764717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("paraphrase_detection_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("paraphrase_detection_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paraphrase_detection_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Isezerano/paraphrase_detection_bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-parsbert_base_parsinlu_entailment_fa.md b/docs/_posts/ahmedlone127/2024-09-26-parsbert_base_parsinlu_entailment_fa.md
new file mode 100644
index 00000000000000..ce0c23d14a0a3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-parsbert_base_parsinlu_entailment_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian parsbert_base_parsinlu_entailment BertForSequenceClassification from persiannlp
+author: John Snow Labs
+name: parsbert_base_parsinlu_entailment
+date: 2024-09-26
+tags: [fa, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parsbert_base_parsinlu_entailment` is a Persian model originally trained by persiannlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parsbert_base_parsinlu_entailment_fa_5.5.0_3.0_1727313883928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parsbert_base_parsinlu_entailment_fa_5.5.0_3.0_1727313883928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parsbert_base_parsinlu_entailment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/persiannlp/parsbert-base-parsinlu-entailment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-parsbert_base_parsinlu_entailment_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-26-parsbert_base_parsinlu_entailment_pipeline_fa.md
new file mode 100644
index 00000000000000..bca6118f2d655e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-parsbert_base_parsinlu_entailment_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian parsbert_base_parsinlu_entailment_pipeline pipeline BertForSequenceClassification from persiannlp
+author: John Snow Labs
+name: parsbert_base_parsinlu_entailment_pipeline
+date: 2024-09-26
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parsbert_base_parsinlu_entailment_pipeline` is a Persian model originally trained by persiannlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parsbert_base_parsinlu_entailment_pipeline_fa_5.5.0_3.0_1727313917653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parsbert_base_parsinlu_entailment_pipeline_fa_5.5.0_3.0_1727313917653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("parsbert_base_parsinlu_entailment_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("parsbert_base_parsinlu_entailment_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parsbert_base_parsinlu_entailment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|608.8 MB|
+
+## References
+
+https://huggingface.co/persiannlp/parsbert-base-parsinlu-entailment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-parsbert_text_emotion_classification_fa.md b/docs/_posts/ahmedlone127/2024-09-26-parsbert_text_emotion_classification_fa.md
new file mode 100644
index 00000000000000..6c58d674f62845
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-parsbert_text_emotion_classification_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian parsbert_text_emotion_classification BertForSequenceClassification from NLPclass
+author: John Snow Labs
+name: parsbert_text_emotion_classification
+date: 2024-09-26
+tags: [fa, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parsbert_text_emotion_classification` is a Persian model originally trained by NLPclass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parsbert_text_emotion_classification_fa_5.5.0_3.0_1727329585727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parsbert_text_emotion_classification_fa_5.5.0_3.0_1727329585727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parsbert_text_emotion_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/NLPclass/parsBERT_text_emotion_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-parsbert_text_emotion_classification_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-26-parsbert_text_emotion_classification_pipeline_fa.md
new file mode 100644
index 00000000000000..1f1db101fcd8ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-parsbert_text_emotion_classification_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian parsbert_text_emotion_classification_pipeline pipeline BertForSequenceClassification from NLPclass
+author: John Snow Labs
+name: parsbert_text_emotion_classification_pipeline
+date: 2024-09-26
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parsbert_text_emotion_classification_pipeline` is a Persian model originally trained by NLPclass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parsbert_text_emotion_classification_pipeline_fa_5.5.0_3.0_1727329617093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parsbert_text_emotion_classification_pipeline_fa_5.5.0_3.0_1727329617093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("parsbert_text_emotion_classification_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("parsbert_text_emotion_classification_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parsbert_text_emotion_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/NLPclass/parsBERT_text_emotion_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-peace_hatebert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-peace_hatebert_pipeline_en.md
new file mode 100644
index 00000000000000..3beebf349f1b8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-peace_hatebert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English peace_hatebert_pipeline pipeline BertForSequenceClassification from BenjaminOcampo
+author: John Snow Labs
+name: peace_hatebert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`peace_hatebert_pipeline` is a English model originally trained by BenjaminOcampo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/peace_hatebert_pipeline_en_5.5.0_3.0_1727341850041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/peace_hatebert_pipeline_en_5.5.0_3.0_1727341850041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("peace_hatebert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("peace_hatebert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|peace_hatebert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/BenjaminOcampo/peace_hatebert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_akshay7_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_akshay7_en.md
new file mode 100644
index 00000000000000..9cdd77ece6368b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_akshay7_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_akshay7 BertForSequenceClassification from akshay7
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_akshay7
+date: 2024-09-26
+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.`phrasebank_sentiment_analysis_akshay7` is a English model originally trained by akshay7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_akshay7_en_5.5.0_3.0_1727311679017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_akshay7_en_5.5.0_3.0_1727311679017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_akshay7|
+|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/akshay7/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_fredmulligan_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_fredmulligan_en.md
new file mode 100644
index 00000000000000..e6e721bce8b0c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_fredmulligan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_fredmulligan BertForSequenceClassification from fredmulligan
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_fredmulligan
+date: 2024-09-26
+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.`phrasebank_sentiment_analysis_fredmulligan` is a English model originally trained by fredmulligan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_fredmulligan_en_5.5.0_3.0_1727321763116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_fredmulligan_en_5.5.0_3.0_1727321763116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_fredmulligan|
+|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/fredmulligan/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_girijesh_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_girijesh_en.md
new file mode 100644
index 00000000000000..9dc504de1ee56f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_girijesh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_girijesh BertForSequenceClassification from girijesh
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_girijesh
+date: 2024-09-26
+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.`phrasebank_sentiment_analysis_girijesh` is a English model originally trained by girijesh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_girijesh_en_5.5.0_3.0_1727314269654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_girijesh_en_5.5.0_3.0_1727314269654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_girijesh|
+|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/girijesh/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_girijesh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_girijesh_pipeline_en.md
new file mode 100644
index 00000000000000..a7c4fe2cdb5196
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_girijesh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_girijesh_pipeline pipeline BertForSequenceClassification from girijesh
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_girijesh_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`phrasebank_sentiment_analysis_girijesh_pipeline` is a English model originally trained by girijesh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_girijesh_pipeline_en_5.5.0_3.0_1727314291164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_girijesh_pipeline_en_5.5.0_3.0_1727314291164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_girijesh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_girijesh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_girijesh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/girijesh/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_priyabrata018_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_priyabrata018_en.md
new file mode 100644
index 00000000000000..4f1318a2c89f7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_priyabrata018_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_priyabrata018 BertForSequenceClassification from Priyabrata018
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_priyabrata018
+date: 2024-09-26
+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.`phrasebank_sentiment_analysis_priyabrata018` is a English model originally trained by Priyabrata018.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_priyabrata018_en_5.5.0_3.0_1727336830550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_priyabrata018_en_5.5.0_3.0_1727336830550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_priyabrata018|
+|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/Priyabrata018/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_santis2_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_santis2_en.md
new file mode 100644
index 00000000000000..a2011341c97250
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_santis2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_santis2 BertForSequenceClassification from santis2
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_santis2
+date: 2024-09-26
+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.`phrasebank_sentiment_analysis_santis2` is a English model originally trained by santis2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_santis2_en_5.5.0_3.0_1727340871608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_santis2_en_5.5.0_3.0_1727340871608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_santis2|
+|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/santis2/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_scbtm_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_scbtm_en.md
new file mode 100644
index 00000000000000..a26c37ffba590e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_scbtm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_scbtm BertForSequenceClassification from scbtm
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_scbtm
+date: 2024-09-26
+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.`phrasebank_sentiment_analysis_scbtm` is a English model originally trained by scbtm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_scbtm_en_5.5.0_3.0_1727339398640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_scbtm_en_5.5.0_3.0_1727339398640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_scbtm|
+|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/scbtm/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_scbtm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_scbtm_pipeline_en.md
new file mode 100644
index 00000000000000..f0cf4ecf7fd9bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_scbtm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_scbtm_pipeline pipeline BertForSequenceClassification from scbtm
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_scbtm_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`phrasebank_sentiment_analysis_scbtm_pipeline` is a English model originally trained by scbtm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_scbtm_pipeline_en_5.5.0_3.0_1727339419749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_scbtm_pipeline_en_5.5.0_3.0_1727339419749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_scbtm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_scbtm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_scbtm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/scbtm/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_sirenstitches_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_sirenstitches_en.md
new file mode 100644
index 00000000000000..c29f9b5ac108ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_sirenstitches_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_sirenstitches BertForSequenceClassification from sirenstitches
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_sirenstitches
+date: 2024-09-26
+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.`phrasebank_sentiment_analysis_sirenstitches` is a English model originally trained by sirenstitches.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_sirenstitches_en_5.5.0_3.0_1727312318909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_sirenstitches_en_5.5.0_3.0_1727312318909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_sirenstitches|
+|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/sirenstitches/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_sirenstitches_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_sirenstitches_pipeline_en.md
new file mode 100644
index 00000000000000..9ab617e836eb47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_sirenstitches_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_sirenstitches_pipeline pipeline BertForSequenceClassification from sirenstitches
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_sirenstitches_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`phrasebank_sentiment_analysis_sirenstitches_pipeline` is a English model originally trained by sirenstitches.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_sirenstitches_pipeline_en_5.5.0_3.0_1727312339770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_sirenstitches_pipeline_en_5.5.0_3.0_1727312339770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_sirenstitches_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_sirenstitches_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_sirenstitches_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sirenstitches/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_snowc2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_snowc2023_pipeline_en.md
new file mode 100644
index 00000000000000..6d8c41450d7ca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-phrasebank_sentiment_analysis_snowc2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_snowc2023_pipeline pipeline BertForSequenceClassification from snowc2023
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_snowc2023_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`phrasebank_sentiment_analysis_snowc2023_pipeline` is a English model originally trained by snowc2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_snowc2023_pipeline_en_5.5.0_3.0_1727342622254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_snowc2023_pipeline_en_5.5.0_3.0_1727342622254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phrasebank_sentiment_analysis_snowc2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phrasebank_sentiment_analysis_snowc2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_snowc2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/snowc2023/phrasebank-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-protein_lm_gb1_en.md b/docs/_posts/ahmedlone127/2024-09-26-protein_lm_gb1_en.md
new file mode 100644
index 00000000000000..c346432df30d05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-protein_lm_gb1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English protein_lm_gb1 BertForSequenceClassification from mcneela
+author: John Snow Labs
+name: protein_lm_gb1
+date: 2024-09-26
+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.`protein_lm_gb1` is a English model originally trained by mcneela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/protein_lm_gb1_en_5.5.0_3.0_1727359721399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/protein_lm_gb1_en_5.5.0_3.0_1727359721399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|protein_lm_gb1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|864.5 MB|
+
+## References
+
+https://huggingface.co/mcneela/protein-lm-gb1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-protein_lm_gb1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-protein_lm_gb1_pipeline_en.md
new file mode 100644
index 00000000000000..644f33ff9d670b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-protein_lm_gb1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English protein_lm_gb1_pipeline pipeline BertForSequenceClassification from mcneela
+author: John Snow Labs
+name: protein_lm_gb1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`protein_lm_gb1_pipeline` is a English model originally trained by mcneela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/protein_lm_gb1_pipeline_en_5.5.0_3.0_1727359765477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/protein_lm_gb1_pipeline_en_5.5.0_3.0_1727359765477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("protein_lm_gb1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("protein_lm_gb1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|protein_lm_gb1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|864.6 MB|
+
+## References
+
+https://huggingface.co/mcneela/protein-lm-gb1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-pruned_model_en.md b/docs/_posts/ahmedlone127/2024-09-26-pruned_model_en.md
new file mode 100644
index 00000000000000..bbe73bacb6a1d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-pruned_model_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: English pruned_model DistilBertForQuestionAnswering from vxbrandon
+author: John Snow Labs
+name: pruned_model
+date: 2024-09-26
+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: BertForSequenceClassification
+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.`pruned_model` is a English model originally trained by vxbrandon.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pruned_model_en_5.5.0_3.0_1727322670497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pruned_model_en_5.5.0_3.0_1727322670497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pruned_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.2 MB|
+
+## References
+
+References
+
+https://huggingface.co/vxbrandon/pruned_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ptv2_bert_large_uncased_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-ptv2_bert_large_uncased_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..4c80ac6a68eb19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ptv2_bert_large_uncased_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ptv2_bert_large_uncased_sst2_pipeline pipeline BertForSequenceClassification from AudreyTrungNguyen
+author: John Snow Labs
+name: ptv2_bert_large_uncased_sst2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ptv2_bert_large_uncased_sst2_pipeline` is a English model originally trained by AudreyTrungNguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ptv2_bert_large_uncased_sst2_pipeline_en_5.5.0_3.0_1727317308297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ptv2_bert_large_uncased_sst2_pipeline_en_5.5.0_3.0_1727317308297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ptv2_bert_large_uncased_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ptv2_bert_large_uncased_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptv2_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/AudreyTrungNguyen/ptv2-bert-large-uncased-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-pure_python2_en.md b/docs/_posts/ahmedlone127/2024-09-26-pure_python2_en.md
new file mode 100644
index 00000000000000..082ac960b363e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-pure_python2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English pure_python2 BertForSequenceClassification from Zahra99
+author: John Snow Labs
+name: pure_python2
+date: 2024-09-26
+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.`pure_python2` is a English model originally trained by Zahra99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pure_python2_en_5.5.0_3.0_1727342153189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pure_python2_en_5.5.0_3.0_1727342153189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pure_python2|
+|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/Zahra99/pure-python2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-pure_python2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-pure_python2_pipeline_en.md
new file mode 100644
index 00000000000000..a9d160e93d7ee5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-pure_python2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pure_python2_pipeline pipeline BertForSequenceClassification from Zahra99
+author: John Snow Labs
+name: pure_python2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`pure_python2_pipeline` is a English model originally trained by Zahra99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pure_python2_pipeline_en_5.5.0_3.0_1727342174530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pure_python2_pipeline_en_5.5.0_3.0_1727342174530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pure_python2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pure_python2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pure_python2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Zahra99/pure-python2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-push_tonga_tonga_islands_hub_test_2_en.md b/docs/_posts/ahmedlone127/2024-09-26-push_tonga_tonga_islands_hub_test_2_en.md
new file mode 100644
index 00000000000000..9b22e4c7d40fd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-push_tonga_tonga_islands_hub_test_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English push_tonga_tonga_islands_hub_test_2 BertForSequenceClassification from sgugger
+author: John Snow Labs
+name: push_tonga_tonga_islands_hub_test_2
+date: 2024-09-26
+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.`push_tonga_tonga_islands_hub_test_2` is a English model originally trained by sgugger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/push_tonga_tonga_islands_hub_test_2_en_5.5.0_3.0_1727339882772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/push_tonga_tonga_islands_hub_test_2_en_5.5.0_3.0_1727339882772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|push_tonga_tonga_islands_hub_test_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/sgugger/push-to-hub-test-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-push_tonga_tonga_islands_hub_test_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-push_tonga_tonga_islands_hub_test_2_pipeline_en.md
new file mode 100644
index 00000000000000..e469d46e611205
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-push_tonga_tonga_islands_hub_test_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English push_tonga_tonga_islands_hub_test_2_pipeline pipeline BertForSequenceClassification from sgugger
+author: John Snow Labs
+name: push_tonga_tonga_islands_hub_test_2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`push_tonga_tonga_islands_hub_test_2_pipeline` is a English model originally trained by sgugger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/push_tonga_tonga_islands_hub_test_2_pipeline_en_5.5.0_3.0_1727339904037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/push_tonga_tonga_islands_hub_test_2_pipeline_en_5.5.0_3.0_1727339904037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("push_tonga_tonga_islands_hub_test_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("push_tonga_tonga_islands_hub_test_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|push_tonga_tonga_islands_hub_test_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/sgugger/push-to-hub-test-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-qd_tweet_convbert_base_turkish_en.md b/docs/_posts/ahmedlone127/2024-09-26-qd_tweet_convbert_base_turkish_en.md
new file mode 100644
index 00000000000000..7ed4144d8bb209
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-qd_tweet_convbert_base_turkish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English qd_tweet_convbert_base_turkish BertForSequenceClassification from Izzet
+author: John Snow Labs
+name: qd_tweet_convbert_base_turkish
+date: 2024-09-26
+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.`qd_tweet_convbert_base_turkish` is a English model originally trained by Izzet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qd_tweet_convbert_base_turkish_en_5.5.0_3.0_1727352674084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qd_tweet_convbert_base_turkish_en_5.5.0_3.0_1727352674084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qd_tweet_convbert_base_turkish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|402.3 MB|
+
+## References
+
+https://huggingface.co/Izzet/qd_tweet_convbert-base-turkish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-query_product_relevance_model_ecommerce_en.md b/docs/_posts/ahmedlone127/2024-09-26-query_product_relevance_model_ecommerce_en.md
new file mode 100644
index 00000000000000..9b4a49db48f248
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-query_product_relevance_model_ecommerce_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English query_product_relevance_model_ecommerce BertForSequenceClassification from prhegde
+author: John Snow Labs
+name: query_product_relevance_model_ecommerce
+date: 2024-09-26
+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.`query_product_relevance_model_ecommerce` is a English model originally trained by prhegde.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/query_product_relevance_model_ecommerce_en_5.5.0_3.0_1727341229825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/query_product_relevance_model_ecommerce_en_5.5.0_3.0_1727341229825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|query_product_relevance_model_ecommerce|
+|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/prhegde/query-product-relevance-model-ecommerce
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-question_detection_user_utter_en.md b/docs/_posts/ahmedlone127/2024-09-26-question_detection_user_utter_en.md
new file mode 100644
index 00000000000000..3a92b453162203
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-question_detection_user_utter_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English question_detection_user_utter BertForSequenceClassification from huaen
+author: John Snow Labs
+name: question_detection_user_utter
+date: 2024-09-26
+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.`question_detection_user_utter` is a English model originally trained by huaen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_detection_user_utter_en_5.5.0_3.0_1727318959073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_detection_user_utter_en_5.5.0_3.0_1727318959073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_detection_user_utter|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/huaen/question_detection_user_utter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-repurchase_train5_en.md b/docs/_posts/ahmedlone127/2024-09-26-repurchase_train5_en.md
new file mode 100644
index 00000000000000..fffb6ab88e6b00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-repurchase_train5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English repurchase_train5 BertForSequenceClassification from laskovey
+author: John Snow Labs
+name: repurchase_train5
+date: 2024-09-26
+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.`repurchase_train5` is a English model originally trained by laskovey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/repurchase_train5_en_5.5.0_3.0_1727318844466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/repurchase_train5_en_5.5.0_3.0_1727318844466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|repurchase_train5|
+|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/laskovey/repurchase_train5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-repurchase_train5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-repurchase_train5_pipeline_en.md
new file mode 100644
index 00000000000000..17a9c370230157
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-repurchase_train5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English repurchase_train5_pipeline pipeline BertForSequenceClassification from laskovey
+author: John Snow Labs
+name: repurchase_train5_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`repurchase_train5_pipeline` is a English model originally trained by laskovey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/repurchase_train5_pipeline_en_5.5.0_3.0_1727318850414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/repurchase_train5_pipeline_en_5.5.0_3.0_1727318850414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("repurchase_train5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("repurchase_train5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|repurchase_train5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/laskovey/repurchase_train5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-response_quality_classifier_base_ru.md b/docs/_posts/ahmedlone127/2024-09-26-response_quality_classifier_base_ru.md
new file mode 100644
index 00000000000000..a9dcaa845fa3ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-response_quality_classifier_base_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian response_quality_classifier_base BertForSequenceClassification from t-bank-ai
+author: John Snow Labs
+name: response_quality_classifier_base
+date: 2024-09-26
+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.`response_quality_classifier_base` is a Russian model originally trained by t-bank-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/response_quality_classifier_base_ru_5.5.0_3.0_1727360012409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/response_quality_classifier_base_ru_5.5.0_3.0_1727360012409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|response_quality_classifier_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|666.6 MB|
+
+## References
+
+https://huggingface.co/t-bank-ai/response-quality-classifier-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-reviewusefulness_binaryclassification_de.md b/docs/_posts/ahmedlone127/2024-09-26-reviewusefulness_binaryclassification_de.md
new file mode 100644
index 00000000000000..910e2be958697d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-reviewusefulness_binaryclassification_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German reviewusefulness_binaryclassification BertForSequenceClassification from jorgeortizv
+author: John Snow Labs
+name: reviewusefulness_binaryclassification
+date: 2024-09-26
+tags: [de, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: de
+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.`reviewusefulness_binaryclassification` is a German model originally trained by jorgeortizv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reviewusefulness_binaryclassification_de_5.5.0_3.0_1727367987382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reviewusefulness_binaryclassification_de_5.5.0_3.0_1727367987382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reviewusefulness_binaryclassification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/jorgeortizv/reviewUsefulness-binaryClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-rewardmodel_rajueee_en.md b/docs/_posts/ahmedlone127/2024-09-26-rewardmodel_rajueee_en.md
new file mode 100644
index 00000000000000..b23d41b5637993
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-rewardmodel_rajueee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rewardmodel_rajueee BertForSequenceClassification from RajuEEE
+author: John Snow Labs
+name: rewardmodel_rajueee
+date: 2024-09-26
+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.`rewardmodel_rajueee` is a English model originally trained by RajuEEE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rewardmodel_rajueee_en_5.5.0_3.0_1727343399128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rewardmodel_rajueee_en_5.5.0_3.0_1727343399128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rewardmodel_rajueee|
+|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/RajuEEE/RewardModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-rewardmodel_rajueee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-rewardmodel_rajueee_pipeline_en.md
new file mode 100644
index 00000000000000..b1f8f2681a35b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-rewardmodel_rajueee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rewardmodel_rajueee_pipeline pipeline BertForSequenceClassification from RajuEEE
+author: John Snow Labs
+name: rewardmodel_rajueee_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`rewardmodel_rajueee_pipeline` is a English model originally trained by RajuEEE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rewardmodel_rajueee_pipeline_en_5.5.0_3.0_1727343421228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rewardmodel_rajueee_pipeline_en_5.5.0_3.0_1727343421228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rewardmodel_rajueee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rewardmodel_rajueee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rewardmodel_rajueee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/RajuEEE/RewardModel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-rewardmodelpt_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-26-rewardmodelpt_pipeline_pt.md
new file mode 100644
index 00000000000000..8eba75d414db62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-rewardmodelpt_pipeline_pt.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Portuguese rewardmodelpt_pipeline pipeline BertForSequenceClassification from nicholasKluge
+author: John Snow Labs
+name: rewardmodelpt_pipeline
+date: 2024-09-26
+tags: [pt, open_source, pipeline, onnx]
+task: Text Classification
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rewardmodelpt_pipeline` is a Portuguese model originally trained by nicholasKluge.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rewardmodelpt_pipeline_pt_5.5.0_3.0_1727329426030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rewardmodelpt_pipeline_pt_5.5.0_3.0_1727329426030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rewardmodelpt_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rewardmodelpt_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rewardmodelpt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/nicholasKluge/RewardModelPT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-roberta_base_finetuned_lcqmc_chinese_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-26-roberta_base_finetuned_lcqmc_chinese_pipeline_zh.md
new file mode 100644
index 00000000000000..4ec953b04768a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-roberta_base_finetuned_lcqmc_chinese_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese roberta_base_finetuned_lcqmc_chinese_pipeline pipeline BertForSequenceClassification from WangA
+author: John Snow Labs
+name: roberta_base_finetuned_lcqmc_chinese_pipeline
+date: 2024-09-26
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_lcqmc_chinese_pipeline` is a Chinese model originally trained by WangA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_lcqmc_chinese_pipeline_zh_5.5.0_3.0_1727357859133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_lcqmc_chinese_pipeline_zh_5.5.0_3.0_1727357859133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_lcqmc_chinese_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_lcqmc_chinese_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_lcqmc_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/WangA/roberta-base-finetuned-lcqmc-chinese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-roberta_chinese_specific_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-26-roberta_chinese_specific_pipeline_zh.md
new file mode 100644
index 00000000000000..d5ca4cc4fab153
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-roberta_chinese_specific_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese roberta_chinese_specific_pipeline pipeline BertForSequenceClassification from thu-coai
+author: John Snow Labs
+name: roberta_chinese_specific_pipeline
+date: 2024-09-26
+tags: [zh, open_source, pipeline, onnx]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_chinese_specific_pipeline` is a Chinese model originally trained by thu-coai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_chinese_specific_pipeline_zh_5.5.0_3.0_1727334121930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_chinese_specific_pipeline_zh_5.5.0_3.0_1727334121930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_chinese_specific_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_chinese_specific_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_chinese_specific_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/thu-coai/roberta-zh-specific
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-robust_bert_jigsaw_en.md b/docs/_posts/ahmedlone127/2024-09-26-robust_bert_jigsaw_en.md
new file mode 100644
index 00000000000000..fb995b00e4ef20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-robust_bert_jigsaw_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robust_bert_jigsaw BertForSequenceClassification from JiaqiLee
+author: John Snow Labs
+name: robust_bert_jigsaw
+date: 2024-09-26
+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.`robust_bert_jigsaw` is a English model originally trained by JiaqiLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robust_bert_jigsaw_en_5.5.0_3.0_1727309878359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robust_bert_jigsaw_en_5.5.0_3.0_1727309878359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robust_bert_jigsaw|
+|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/JiaqiLee/robust-bert-jigsaw
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-robust_bert_jigsaw_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-robust_bert_jigsaw_pipeline_en.md
new file mode 100644
index 00000000000000..b2e8975618dc7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-robust_bert_jigsaw_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robust_bert_jigsaw_pipeline pipeline BertForSequenceClassification from JiaqiLee
+author: John Snow Labs
+name: robust_bert_jigsaw_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`robust_bert_jigsaw_pipeline` is a English model originally trained by JiaqiLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robust_bert_jigsaw_pipeline_en_5.5.0_3.0_1727309900155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robust_bert_jigsaw_pipeline_en_5.5.0_3.0_1727309900155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robust_bert_jigsaw_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robust_bert_jigsaw_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robust_bert_jigsaw_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/JiaqiLee/robust-bert-jigsaw
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-robust_mbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-robust_mbert_pipeline_en.md
new file mode 100644
index 00000000000000..7439fb88075247
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-robust_mbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English robust_mbert_pipeline pipeline BertForSequenceClassification from Anwaarma
+author: John Snow Labs
+name: robust_mbert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`robust_mbert_pipeline` is a English model originally trained by Anwaarma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robust_mbert_pipeline_en_5.5.0_3.0_1727319679027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robust_mbert_pipeline_en_5.5.0_3.0_1727319679027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robust_mbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robust_mbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robust_mbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/Anwaarma/robust-mbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ros2_text_classification_en.md b/docs/_posts/ahmedlone127/2024-09-26-ros2_text_classification_en.md
new file mode 100644
index 00000000000000..c1d0df33dff6b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ros2_text_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ros2_text_classification BertForSequenceClassification from anaaulian19
+author: John Snow Labs
+name: ros2_text_classification
+date: 2024-09-26
+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.`ros2_text_classification` is a English model originally trained by anaaulian19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ros2_text_classification_en_5.5.0_3.0_1727326341028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ros2_text_classification_en_5.5.0_3.0_1727326341028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ros2_text_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.0 MB|
+
+## References
+
+https://huggingface.co/anaaulian19/ROS2-text-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ros2_text_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-ros2_text_classification_pipeline_en.md
new file mode 100644
index 00000000000000..dbc5d4aab07e16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ros2_text_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ros2_text_classification_pipeline pipeline BertForSequenceClassification from anaaulian19
+author: John Snow Labs
+name: ros2_text_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ros2_text_classification_pipeline` is a English model originally trained by anaaulian19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ros2_text_classification_pipeline_en_5.5.0_3.0_1727326363492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ros2_text_classification_pipeline_en_5.5.0_3.0_1727326363492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ros2_text_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ros2_text_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ros2_text_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.0 MB|
+
+## References
+
+https://huggingface.co/anaaulian19/ROS2-text-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sagemaker_bert_base_arabic_arabic_sas_en.md b/docs/_posts/ahmedlone127/2024-09-26-sagemaker_bert_base_arabic_arabic_sas_en.md
new file mode 100644
index 00000000000000..f69b289b8d19b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sagemaker_bert_base_arabic_arabic_sas_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sagemaker_bert_base_arabic_arabic_sas BertForSequenceClassification from Osaleh
+author: John Snow Labs
+name: sagemaker_bert_base_arabic_arabic_sas
+date: 2024-09-26
+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.`sagemaker_bert_base_arabic_arabic_sas` is a English model originally trained by Osaleh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sagemaker_bert_base_arabic_arabic_sas_en_5.5.0_3.0_1727358977968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sagemaker_bert_base_arabic_arabic_sas_en_5.5.0_3.0_1727358977968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sagemaker_bert_base_arabic_arabic_sas|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.2 MB|
+
+## References
+
+https://huggingface.co/Osaleh/sagemaker-bert-base-arabic-ar-SAS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sagemaker_bert_base_arabic_arabic_sas_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-sagemaker_bert_base_arabic_arabic_sas_pipeline_en.md
new file mode 100644
index 00000000000000..d747d753bda782
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sagemaker_bert_base_arabic_arabic_sas_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sagemaker_bert_base_arabic_arabic_sas_pipeline pipeline BertForSequenceClassification from Osaleh
+author: John Snow Labs
+name: sagemaker_bert_base_arabic_arabic_sas_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`sagemaker_bert_base_arabic_arabic_sas_pipeline` is a English model originally trained by Osaleh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sagemaker_bert_base_arabic_arabic_sas_pipeline_en_5.5.0_3.0_1727358999355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sagemaker_bert_base_arabic_arabic_sas_pipeline_en_5.5.0_3.0_1727358999355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sagemaker_bert_base_arabic_arabic_sas_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sagemaker_bert_base_arabic_arabic_sas_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sagemaker_bert_base_arabic_arabic_sas_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|414.2 MB|
+
+## References
+
+https://huggingface.co/Osaleh/sagemaker-bert-base-arabic-ar-SAS
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sarcasm_detection_bert_base_uncased_newdata_en.md b/docs/_posts/ahmedlone127/2024-09-26-sarcasm_detection_bert_base_uncased_newdata_en.md
new file mode 100644
index 00000000000000..dfae9aeee6dff0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sarcasm_detection_bert_base_uncased_newdata_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sarcasm_detection_bert_base_uncased_newdata BertForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sarcasm_detection_bert_base_uncased_newdata
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarcasm_detection_bert_base_uncased_newdata` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_newdata_en_5.5.0_3.0_1727334942765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_bert_base_uncased_newdata_en_5.5.0_3.0_1727334942765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sarcasm_detection_bert_base_uncased_newdata|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jkhan447/sarcasm-detection-Bert-base-uncased-newdata
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-scenario_tcr_data_glue_qnli_model_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-26-scenario_tcr_data_glue_qnli_model_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..d6fcb1e6098fd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-scenario_tcr_data_glue_qnli_model_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English scenario_tcr_data_glue_qnli_model_bert_base_uncased BertForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_tcr_data_glue_qnli_model_bert_base_uncased
+date: 2024-09-26
+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.`scenario_tcr_data_glue_qnli_model_bert_base_uncased` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_tcr_data_glue_qnli_model_bert_base_uncased_en_5.5.0_3.0_1727312231768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_tcr_data_glue_qnli_model_bert_base_uncased_en_5.5.0_3.0_1727312231768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_tcr_data_glue_qnli_model_bert_base_uncased|
+|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/haryoaw/scenario-TCR-data-glue-qnli-model-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..ce514aafecf05b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline pipeline BertForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline_en_5.5.0_3.0_1727312253103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline_en_5.5.0_3.0_1727312253103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_tcr_data_glue_qnli_model_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-TCR-data-glue-qnli-model-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-scenario_tcr_data_glue_qqp_model_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-26-scenario_tcr_data_glue_qqp_model_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..0fdecb4ed7d60d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-scenario_tcr_data_glue_qqp_model_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English scenario_tcr_data_glue_qqp_model_bert_base_uncased BertForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_tcr_data_glue_qqp_model_bert_base_uncased
+date: 2024-09-26
+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.`scenario_tcr_data_glue_qqp_model_bert_base_uncased` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_tcr_data_glue_qqp_model_bert_base_uncased_en_5.5.0_3.0_1727315529238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_tcr_data_glue_qqp_model_bert_base_uncased_en_5.5.0_3.0_1727315529238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_tcr_data_glue_qqp_model_bert_base_uncased|
+|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/haryoaw/scenario-TCR-data-glue-qqp-model-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_qnli_en.md b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_qnli_en.md
new file mode 100644
index 00000000000000..1ecd31add21cdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_qnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sead_l_6_h_256_a_8_qnli BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_256_a_8_qnli
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_256_a_8_qnli` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_qnli_en_5.5.0_3.0_1727363833713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_qnli_en_5.5.0_3.0_1727363833713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_256_a_8_qnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|47.4 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-256_A-8-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_qnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_qnli_pipeline_en.md
new file mode 100644
index 00000000000000..7c6b64c2a5b890
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_qnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sead_l_6_h_256_a_8_qnli_pipeline pipeline BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_256_a_8_qnli_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_256_a_8_qnli_pipeline` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_qnli_pipeline_en_5.5.0_3.0_1727363836608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_qnli_pipeline_en_5.5.0_3.0_1727363836608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sead_l_6_h_256_a_8_qnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sead_l_6_h_256_a_8_qnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_256_a_8_qnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|47.4 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-256_A-8-qnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_sst2_en.md
new file mode 100644
index 00000000000000..34f613e0f5f973
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sead_l_6_h_256_a_8_sst2 BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_256_a_8_sst2
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_256_a_8_sst2` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_sst2_en_5.5.0_3.0_1727359116485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_sst2_en_5.5.0_3.0_1727359116485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_256_a_8_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|47.3 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-256_A-8-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_wnli_en.md b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_wnli_en.md
new file mode 100644
index 00000000000000..af0c9b4fffa6d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_wnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sead_l_6_h_256_a_8_wnli BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_256_a_8_wnli
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_256_a_8_wnli` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_wnli_en_5.5.0_3.0_1727359802702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_wnli_en_5.5.0_3.0_1727359802702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_256_a_8_wnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|47.3 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-256_A-8-wnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_wnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_wnli_pipeline_en.md
new file mode 100644
index 00000000000000..02c1ba84a0be93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_256_a_8_wnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sead_l_6_h_256_a_8_wnli_pipeline pipeline BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_256_a_8_wnli_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_256_a_8_wnli_pipeline` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_wnli_pipeline_en_5.5.0_3.0_1727359805590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_256_a_8_wnli_pipeline_en_5.5.0_3.0_1727359805590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sead_l_6_h_256_a_8_wnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sead_l_6_h_256_a_8_wnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_256_a_8_wnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|47.3 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-256_A-8-wnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_384_a_12_qqp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_384_a_12_qqp_pipeline_en.md
new file mode 100644
index 00000000000000..8041c8eb987353
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_384_a_12_qqp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sead_l_6_h_384_a_12_qqp_pipeline pipeline BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_384_a_12_qqp_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_384_a_12_qqp_pipeline` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_384_a_12_qqp_pipeline_en_5.5.0_3.0_1727329251582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_384_a_12_qqp_pipeline_en_5.5.0_3.0_1727329251582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sead_l_6_h_384_a_12_qqp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sead_l_6_h_384_a_12_qqp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_384_a_12_qqp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|84.4 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-384_A-12-qqp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_384_a_12_wnli_en.md b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_384_a_12_wnli_en.md
new file mode 100644
index 00000000000000..1a708541e6596d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_384_a_12_wnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sead_l_6_h_384_a_12_wnli BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_384_a_12_wnli
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_384_a_12_wnli` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_384_a_12_wnli_en_5.5.0_3.0_1727330835871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_384_a_12_wnli_en_5.5.0_3.0_1727330835871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_384_a_12_wnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|84.2 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-384_A-12-wnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_384_a_12_wnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_384_a_12_wnli_pipeline_en.md
new file mode 100644
index 00000000000000..184d11c9a32f96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sead_l_6_h_384_a_12_wnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sead_l_6_h_384_a_12_wnli_pipeline pipeline BertForSequenceClassification from C5i
+author: John Snow Labs
+name: sead_l_6_h_384_a_12_wnli_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sead_l_6_h_384_a_12_wnli_pipeline` is a English model originally trained by C5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sead_l_6_h_384_a_12_wnli_pipeline_en_5.5.0_3.0_1727330840519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sead_l_6_h_384_a_12_wnli_pipeline_en_5.5.0_3.0_1727330840519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sead_l_6_h_384_a_12_wnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sead_l_6_h_384_a_12_wnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sead_l_6_h_384_a_12_wnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|84.2 MB|
+
+## References
+
+https://huggingface.co/C5i/SEAD-L-6_H-384_A-12-wnli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sector_multilabel_bge_f_en.md b/docs/_posts/ahmedlone127/2024-09-26-sector_multilabel_bge_f_en.md
new file mode 100644
index 00000000000000..0249b8d8d6552a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sector_multilabel_bge_f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sector_multilabel_bge_f BertForSequenceClassification from GIZ
+author: John Snow Labs
+name: sector_multilabel_bge_f
+date: 2024-09-26
+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.`sector_multilabel_bge_f` is a English model originally trained by GIZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sector_multilabel_bge_f_en_5.5.0_3.0_1727344068016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sector_multilabel_bge_f_en_5.5.0_3.0_1727344068016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentibertlarge|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|bn|
+|Size:|414.4 MB|
+
+## References
+
+https://huggingface.co/ahnaf702/SentibertLarge
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sentibertlarge_pipeline_bn.md b/docs/_posts/ahmedlone127/2024-09-26-sentibertlarge_pipeline_bn.md
new file mode 100644
index 00000000000000..67d4cb75fcabc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sentibertlarge_pipeline_bn.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Bengali sentibertlarge_pipeline pipeline BertForSequenceClassification from ahnaf702
+author: John Snow Labs
+name: sentibertlarge_pipeline
+date: 2024-09-26
+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.`sentibertlarge_pipeline` is a Bengali model originally trained by ahnaf702.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentibertlarge_pipeline_bn_5.5.0_3.0_1727328169972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentibertlarge_pipeline_bn_5.5.0_3.0_1727328169972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentibertlarge_pipeline", lang = "bn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentibertlarge_pipeline", lang = "bn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentibertlarge_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|bn|
+|Size:|414.4 MB|
+
+## References
+
+https://huggingface.co/ahnaf702/SentibertLarge
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sentimen_analysis_yelp_en.md b/docs/_posts/ahmedlone127/2024-09-26-sentimen_analysis_yelp_en.md
new file mode 100644
index 00000000000000..a86d4548f47978
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sentimen_analysis_yelp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentimen_analysis_yelp BertForSequenceClassification from Imran1
+author: John Snow Labs
+name: sentimen_analysis_yelp
+date: 2024-09-26
+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.`sentimen_analysis_yelp` is a English model originally trained by Imran1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentimen_analysis_yelp_en_5.5.0_3.0_1727343158388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentimen_analysis_yelp_en_5.5.0_3.0_1727343158388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentimen_analysis_yelp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Imran1/sentimen_analysis_yelp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sentiment_analysis_indobertweet_en.md b/docs/_posts/ahmedlone127/2024-09-26-sentiment_analysis_indobertweet_en.md
new file mode 100644
index 00000000000000..618b3ce2e8ccc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sentiment_analysis_indobertweet_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_indobertweet BertForSequenceClassification from ridhodaffasyah
+author: John Snow Labs
+name: sentiment_analysis_indobertweet
+date: 2024-09-26
+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.`sentiment_analysis_indobertweet` is a English model originally trained by ridhodaffasyah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_indobertweet_en_5.5.0_3.0_1727367006359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_indobertweet_en_5.5.0_3.0_1727367006359.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_indobertweet|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.0 MB|
+
+## References
+
+https://huggingface.co/ridhodaffasyah/sentiment-analysis-indobertweet
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sentiment_analysis_task_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-sentiment_analysis_task_1_pipeline_en.md
new file mode 100644
index 00000000000000..19b5e564d0378d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sentiment_analysis_task_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_task_1_pipeline pipeline BertForSequenceClassification from ABHISHEKMONU2001
+author: John Snow Labs
+name: sentiment_analysis_task_1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_task_1_pipeline` is a English model originally trained by ABHISHEKMONU2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_task_1_pipeline_en_5.5.0_3.0_1727317794389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_task_1_pipeline_en_5.5.0_3.0_1727317794389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_task_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_task_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_task_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ABHISHEKMONU2001/Sentiment_Analysis_Task_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sentiment_model_en.md b/docs/_posts/ahmedlone127/2024-09-26-sentiment_model_en.md
new file mode 100644
index 00000000000000..790e04b0b1f813
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sentiment_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_model BertForSequenceClassification from zanafi
+author: John Snow Labs
+name: sentiment_model
+date: 2024-09-26
+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.`sentiment_model` is a English model originally trained by zanafi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_en_5.5.0_3.0_1727313936118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_en_5.5.0_3.0_1727313936118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|413.9 MB|
+
+## References
+
+https://huggingface.co/zanafi/sentiment_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-show_image_en.md b/docs/_posts/ahmedlone127/2024-09-26-show_image_en.md
new file mode 100644
index 00000000000000..298d35a82dfb66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-show_image_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English show_image BertForSequenceClassification from thanhduycao
+author: John Snow Labs
+name: show_image
+date: 2024-09-26
+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.`show_image` is a English model originally trained by thanhduycao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/show_image_en_5.5.0_3.0_1727309111971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/show_image_en_5.5.0_3.0_1727309111971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|show_image|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|75.1 MB|
+
+## References
+
+https://huggingface.co/thanhduycao/show_image
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-show_image_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-show_image_pipeline_en.md
new file mode 100644
index 00000000000000..ebf0c7fe7ef102
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-show_image_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English show_image_pipeline pipeline BertForSequenceClassification from thanhduycao
+author: John Snow Labs
+name: show_image_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`show_image_pipeline` is a English model originally trained by thanhduycao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/show_image_pipeline_en_5.5.0_3.0_1727309119931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/show_image_pipeline_en_5.5.0_3.0_1727309119931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("show_image_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("show_image_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|show_image_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|75.1 MB|
+
+## References
+
+https://huggingface.co/thanhduycao/show_image
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-simple_classification_en.md b/docs/_posts/ahmedlone127/2024-09-26-simple_classification_en.md
new file mode 100644
index 00000000000000..2ddb4d5c146495
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-simple_classification_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English simple_classification DistilBertForSequenceClassification from ai-ar
+author: John Snow Labs
+name: simple_classification
+date: 2024-09-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`simple_classification` is a English model originally trained by ai-ar.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/simple_classification_en_5.5.0_3.0_1727342440690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/simple_classification_en_5.5.0_3.0_1727342440690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|simple_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+References
+
+https://huggingface.co/ai-ar/simple-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sinhala_albert_en.md b/docs/_posts/ahmedlone127/2024-09-26-sinhala_albert_en.md
new file mode 100644
index 00000000000000..2286efed7893ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sinhala_albert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sinhala_albert BertForSequenceClassification from theekshana
+author: John Snow Labs
+name: sinhala_albert
+date: 2024-09-26
+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.`sinhala_albert` is a English model originally trained by theekshana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sinhala_albert_en_5.5.0_3.0_1727330465188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sinhala_albert_en_5.5.0_3.0_1727330465188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sinhala_albert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/theekshana/sinhala_albert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-sinhala_albert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-sinhala_albert_pipeline_en.md
new file mode 100644
index 00000000000000..e7f3dd2af8f314
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-sinhala_albert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sinhala_albert_pipeline pipeline BertForSequenceClassification from theekshana
+author: John Snow Labs
+name: sinhala_albert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`sinhala_albert_pipeline` is a English model originally trained by theekshana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sinhala_albert_pipeline_en_5.5.0_3.0_1727330467617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sinhala_albert_pipeline_en_5.5.0_3.0_1727330467617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sinhala_albert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sinhala_albert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sinhala_albert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/theekshana/sinhala_albert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-snli_w_premise_100k_en.md b/docs/_posts/ahmedlone127/2024-09-26-snli_w_premise_100k_en.md
new file mode 100644
index 00000000000000..eb6d2b3fb43cbd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-snli_w_premise_100k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English snli_w_premise_100k BertForSequenceClassification from grace-pro
+author: John Snow Labs
+name: snli_w_premise_100k
+date: 2024-09-26
+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.`snli_w_premise_100k` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_w_premise_100k_en_5.5.0_3.0_1727340177691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_w_premise_100k_en_5.5.0_3.0_1727340177691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_w_premise_100k|
+|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/grace-pro/snli_w_premise_100k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ssc_bert_en.md b/docs/_posts/ahmedlone127/2024-09-26-ssc_bert_en.md
new file mode 100644
index 00000000000000..c1891cdeecedbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ssc_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ssc_bert BertForSequenceClassification from rasoultilburg
+author: John Snow Labs
+name: ssc_bert
+date: 2024-09-26
+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.`ssc_bert` is a English model originally trained by rasoultilburg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ssc_bert_en_5.5.0_3.0_1727319763318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ssc_bert_en_5.5.0_3.0_1727319763318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ssc_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/rasoultilburg/ssc_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ssc_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-ssc_bert_pipeline_en.md
new file mode 100644
index 00000000000000..962cbc581d7b8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-ssc_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ssc_bert_pipeline pipeline BertForSequenceClassification from rasoultilburg
+author: John Snow Labs
+name: ssc_bert_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ssc_bert_pipeline` is a English model originally trained by rasoultilburg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ssc_bert_pipeline_en_5.5.0_3.0_1727319784067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ssc_bert_pipeline_en_5.5.0_3.0_1727319784067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ssc_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ssc_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ssc_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rasoultilburg/ssc_bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ssml_bert_tunedmodel_en.md b/docs/_posts/ahmedlone127/2024-09-26-ssml_bert_tunedmodel_en.md
new file mode 100644
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+---
+layout: model
+title: English ssml_bert_tunedmodel BertForSequenceClassification from ssml2050
+author: John Snow Labs
+name: ssml_bert_tunedmodel
+date: 2024-09-26
+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.`ssml_bert_tunedmodel` is a English model originally trained by ssml2050.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ssml_bert_tunedmodel_en_5.5.0_3.0_1727342867204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ssml_bert_tunedmodel_en_5.5.0_3.0_1727342867204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ssml_bert_tunedmodel|
+|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/ssml2050/ssml_bert_tunedmodel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-ssml_bert_tunedmodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-ssml_bert_tunedmodel_pipeline_en.md
new file mode 100644
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+---
+layout: model
+title: English ssml_bert_tunedmodel_pipeline pipeline BertForSequenceClassification from ssml2050
+author: John Snow Labs
+name: ssml_bert_tunedmodel_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`ssml_bert_tunedmodel_pipeline` is a English model originally trained by ssml2050.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ssml_bert_tunedmodel_pipeline_en_5.5.0_3.0_1727342888467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ssml_bert_tunedmodel_pipeline_en_5.5.0_3.0_1727342888467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ssml_bert_tunedmodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ssml_bert_tunedmodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ssml_bert_tunedmodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ssml2050/ssml_bert_tunedmodel
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-statement_equivalence_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-statement_equivalence_pipeline_en.md
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+---
+layout: model
+title: English statement_equivalence_pipeline pipeline BertForSequenceClassification from MattStammers
+author: John Snow Labs
+name: statement_equivalence_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`statement_equivalence_pipeline` is a English model originally trained by MattStammers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/statement_equivalence_pipeline_en_5.5.0_3.0_1727342271526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/statement_equivalence_pipeline_en_5.5.0_3.0_1727342271526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("statement_equivalence_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("statement_equivalence_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|statement_equivalence_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MattStammers/Statement_Equivalence
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-stock_market_news_classification_en.md b/docs/_posts/ahmedlone127/2024-09-26-stock_market_news_classification_en.md
new file mode 100644
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+---
+layout: model
+title: English stock_market_news_classification BertForSequenceClassification from XA7
+author: John Snow Labs
+name: stock_market_news_classification
+date: 2024-09-26
+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.`stock_market_news_classification` is a English model originally trained by XA7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stock_market_news_classification_en_5.5.0_3.0_1727354433392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stock_market_news_classification_en_5.5.0_3.0_1727354433392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stock_market_news_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/XA7/Stock-market-news-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-stock_market_news_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-stock_market_news_classification_pipeline_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-stock_market_news_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stock_market_news_classification_pipeline pipeline BertForSequenceClassification from XA7
+author: John Snow Labs
+name: stock_market_news_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`stock_market_news_classification_pipeline` is a English model originally trained by XA7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stock_market_news_classification_pipeline_en_5.5.0_3.0_1727354454697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stock_market_news_classification_pipeline_en_5.5.0_3.0_1727354454697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stock_market_news_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stock_market_news_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stock_market_news_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/XA7/Stock-market-news-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_5_001_en.md b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_5_001_en.md
new file mode 100644
index 00000000000000..c92fe342b298f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_5_001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stsb_tinybert_l_4_finetuned_auc_151221_5_001 BertForSequenceClassification from Katsiaryna
+author: John Snow Labs
+name: stsb_tinybert_l_4_finetuned_auc_151221_5_001
+date: 2024-09-26
+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.`stsb_tinybert_l_4_finetuned_auc_151221_5_001` is a English model originally trained by Katsiaryna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_5_001_en_5.5.0_3.0_1727318212149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_5_001_en_5.5.0_3.0_1727318212149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_tinybert_l_4_finetuned_auc_151221_5_001|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/Katsiaryna/stsb-TinyBERT-L-4-finetuned_auc_151221-5-001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline_en.md
new file mode 100644
index 00000000000000..9d8dbacd10ad59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline pipeline BertForSequenceClassification from Katsiaryna
+author: John Snow Labs
+name: stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline` is a English model originally trained by Katsiaryna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline_en_5.5.0_3.0_1727318214939.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline_en_5.5.0_3.0_1727318214939.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_tinybert_l_4_finetuned_auc_151221_5_001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/Katsiaryna/stsb-TinyBERT-L-4-finetuned_auc_151221-5-001
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_top1_en.md b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_top1_en.md
new file mode 100644
index 00000000000000..35e4d5015dcc11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_top1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stsb_tinybert_l_4_finetuned_auc_151221_top1 BertForSequenceClassification from Katsiaryna
+author: John Snow Labs
+name: stsb_tinybert_l_4_finetuned_auc_151221_top1
+date: 2024-09-26
+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.`stsb_tinybert_l_4_finetuned_auc_151221_top1` is a English model originally trained by Katsiaryna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_top1_en_5.5.0_3.0_1727316360921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_top1_en_5.5.0_3.0_1727316360921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_tinybert_l_4_finetuned_auc_151221_top1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/Katsiaryna/stsb-TinyBERT-L-4-finetuned_auc_151221-top1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline_en.md
new file mode 100644
index 00000000000000..8bc6f7b1334e1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline pipeline BertForSequenceClassification from Katsiaryna
+author: John Snow Labs
+name: stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline` is a English model originally trained by Katsiaryna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline_en_5.5.0_3.0_1727316363842.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline_en_5.5.0_3.0_1727316363842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_tinybert_l_4_finetuned_auc_151221_top1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/Katsiaryna/stsb-TinyBERT-L-4-finetuned_auc_151221-top1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_en.md b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_en.md
new file mode 100644
index 00000000000000..fb0b8d8a15669e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-stsb_tinybert_l_4_finetuned_auc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stsb_tinybert_l_4_finetuned_auc BertForSequenceClassification from Katsiaryna
+author: John Snow Labs
+name: stsb_tinybert_l_4_finetuned_auc
+date: 2024-09-26
+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.`stsb_tinybert_l_4_finetuned_auc` is a English model originally trained by Katsiaryna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_en_5.5.0_3.0_1727316484241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_finetuned_auc_en_5.5.0_3.0_1727316484241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_tinybert_l_4_finetuned_auc|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/Katsiaryna/stsb-TinyBERT-L-4-finetuned_auc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-stud_fac_eval_bert_base_uncased_pipeline_tl.md b/docs/_posts/ahmedlone127/2024-09-26-stud_fac_eval_bert_base_uncased_pipeline_tl.md
new file mode 100644
index 00000000000000..f1c492cf861b96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-stud_fac_eval_bert_base_uncased_pipeline_tl.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Tagalog stud_fac_eval_bert_base_uncased_pipeline pipeline BertForSequenceClassification from MENG21
+author: John Snow Labs
+name: stud_fac_eval_bert_base_uncased_pipeline
+date: 2024-09-26
+tags: [tl, open_source, pipeline, onnx]
+task: Text Classification
+language: tl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stud_fac_eval_bert_base_uncased_pipeline` is a Tagalog model originally trained by MENG21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stud_fac_eval_bert_base_uncased_pipeline_tl_5.5.0_3.0_1727344298744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stud_fac_eval_bert_base_uncased_pipeline_tl_5.5.0_3.0_1727344298744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stud_fac_eval_bert_base_uncased_pipeline", lang = "tl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stud_fac_eval_bert_base_uncased_pipeline", lang = "tl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stud_fac_eval_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tl|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MENG21/stud-fac-eval-bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-task_implicit_task__model_hatebert__aug_method_all_en.md b/docs/_posts/ahmedlone127/2024-09-26-task_implicit_task__model_hatebert__aug_method_all_en.md
new file mode 100644
index 00000000000000..758f56e864b9d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-task_implicit_task__model_hatebert__aug_method_all_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English task_implicit_task__model_hatebert__aug_method_all BertForSequenceClassification from BenjaminOcampo
+author: John Snow Labs
+name: task_implicit_task__model_hatebert__aug_method_all
+date: 2024-09-26
+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.`task_implicit_task__model_hatebert__aug_method_all` is a English model originally trained by BenjaminOcampo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/task_implicit_task__model_hatebert__aug_method_all_en_5.5.0_3.0_1727344799013.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/task_implicit_task__model_hatebert__aug_method_all_en_5.5.0_3.0_1727344799013.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_hatebert__aug_method_all|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tesla_news_title_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2024-09-26-tesla_news_title_sentiment_analysis_en.md
new file mode 100644
index 00000000000000..b085a91dd59ac4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tesla_news_title_sentiment_analysis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tesla_news_title_sentiment_analysis BertForSequenceClassification from YC9Z
+author: John Snow Labs
+name: tesla_news_title_sentiment_analysis
+date: 2024-09-26
+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.`tesla_news_title_sentiment_analysis` is a English model originally trained by YC9Z.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tesla_news_title_sentiment_analysis_en_5.5.0_3.0_1727316648901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tesla_news_title_sentiment_analysis_en_5.5.0_3.0_1727316648901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tesla_news_title_sentiment_analysis|
+|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/YC9Z/tesla_news_title_sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-test_bert_base_banking77_en.md b/docs/_posts/ahmedlone127/2024-09-26-test_bert_base_banking77_en.md
new file mode 100644
index 00000000000000..e6c7a8f039c9ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-test_bert_base_banking77_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_bert_base_banking77 BertForSequenceClassification from Kirie
+author: John Snow Labs
+name: test_bert_base_banking77
+date: 2024-09-26
+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.`test_bert_base_banking77` is a English model originally trained by Kirie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_bert_base_banking77_en_5.5.0_3.0_1727355029595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_bert_base_banking77_en_5.5.0_3.0_1727355029595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_bert_base_banking77|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Kirie/test-bert-base-banking77
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-test_bert_base_banking77_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-test_bert_base_banking77_pipeline_en.md
new file mode 100644
index 00000000000000..76d1893769295f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-test_bert_base_banking77_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_bert_base_banking77_pipeline pipeline BertForSequenceClassification from Kirie
+author: John Snow Labs
+name: test_bert_base_banking77_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`test_bert_base_banking77_pipeline` is a English model originally trained by Kirie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_bert_base_banking77_pipeline_en_5.5.0_3.0_1727355052115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_bert_base_banking77_pipeline_en_5.5.0_3.0_1727355052115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_bert_base_banking77_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_bert_base_banking77_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_bert_base_banking77_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Kirie/test-bert-base-banking77
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-test_trainer_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-test_trainer_2_pipeline_en.md
new file mode 100644
index 00000000000000..4113ac63771d5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-test_trainer_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_trainer_2_pipeline pipeline BertForSequenceClassification from AleRams
+author: John Snow Labs
+name: test_trainer_2_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`test_trainer_2_pipeline` is a English model originally trained by AleRams.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_2_pipeline_en_5.5.0_3.0_1727319754191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_2_pipeline_en_5.5.0_3.0_1727319754191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_trainer_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_trainer_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/AleRams/test-trainer_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-test_trainer_dongxiaoxia194_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-test_trainer_dongxiaoxia194_pipeline_en.md
new file mode 100644
index 00000000000000..e9bffe3f945ce9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-test_trainer_dongxiaoxia194_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_trainer_dongxiaoxia194_pipeline pipeline BertForSequenceClassification from dongxiaoxia194
+author: John Snow Labs
+name: test_trainer_dongxiaoxia194_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`test_trainer_dongxiaoxia194_pipeline` is a English model originally trained by dongxiaoxia194.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_dongxiaoxia194_pipeline_en_5.5.0_3.0_1727353402765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_dongxiaoxia194_pipeline_en_5.5.0_3.0_1727353402765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_trainer_dongxiaoxia194_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_trainer_dongxiaoxia194_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_dongxiaoxia194_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/dongxiaoxia194/test-trainer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-test_trainer_xyz123xyz_en.md b/docs/_posts/ahmedlone127/2024-09-26-test_trainer_xyz123xyz_en.md
new file mode 100644
index 00000000000000..2a9fc5f6e567e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-test_trainer_xyz123xyz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_trainer_xyz123xyz BertForSequenceClassification from XYZ123XYZ
+author: John Snow Labs
+name: test_trainer_xyz123xyz
+date: 2024-09-26
+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.`test_trainer_xyz123xyz` is a English model originally trained by XYZ123XYZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_xyz123xyz_en_5.5.0_3.0_1727353523243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_xyz123xyz_en_5.5.0_3.0_1727353523243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_xyz123xyz|
+|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/XYZ123XYZ/test-trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-text_classification_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-26-text_classification_bert_base_uncased_en.md
new file mode 100644
index 00000000000000..486fd1d765f760
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-text_classification_bert_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_classification_bert_base_uncased BertForSequenceClassification from Cynthiaiii4
+author: John Snow Labs
+name: text_classification_bert_base_uncased
+date: 2024-09-26
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_bert_base_uncased` is a English model originally trained by Cynthiaiii4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_bert_base_uncased_en_5.5.0_3.0_1727351679995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_bert_base_uncased_en_5.5.0_3.0_1727351679995.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_bert_base_uncased|
+|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/Cynthiaiii4/Text_classification_bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-text_classify_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-text_classify_model_pipeline_en.md
new file mode 100644
index 00000000000000..6ae24ebc96d3a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-text_classify_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_classify_model_pipeline pipeline BertForSequenceClassification from hydrochii
+author: John Snow Labs
+name: text_classify_model_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classify_model_pipeline` is a English model originally trained by hydrochii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classify_model_pipeline_en_5.5.0_3.0_1727313314914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classify_model_pipeline_en_5.5.0_3.0_1727313314914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_classify_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_classify_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classify_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/hydrochii/text_classify_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-thext_pce_bio_en.md b/docs/_posts/ahmedlone127/2024-09-26-thext_pce_bio_en.md
new file mode 100644
index 00000000000000..952f0567ee23b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-thext_pce_bio_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English thext_pce_bio BertForSequenceClassification from pietrocagnasso
+author: John Snow Labs
+name: thext_pce_bio
+date: 2024-09-26
+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.`thext_pce_bio` is a English model originally trained by pietrocagnasso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/thext_pce_bio_en_5.5.0_3.0_1727347193219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/thext_pce_bio_en_5.5.0_3.0_1727347193219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|thext_pce_bio|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.1 MB|
+
+## References
+
+https://huggingface.co/pietrocagnasso/thext-pce-bio
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-thext_pce_bio_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-thext_pce_bio_pipeline_en.md
new file mode 100644
index 00000000000000..a05a29726ea62e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-thext_pce_bio_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English thext_pce_bio_pipeline pipeline BertForSequenceClassification from pietrocagnasso
+author: John Snow Labs
+name: thext_pce_bio_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`thext_pce_bio_pipeline` is a English model originally trained by pietrocagnasso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/thext_pce_bio_pipeline_en_5.5.0_3.0_1727347216255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/thext_pce_bio_pipeline_en_5.5.0_3.0_1727347216255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("thext_pce_bio_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("thext_pce_bio_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|thext_pce_bio_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.1 MB|
+
+## References
+
+https://huggingface.co/pietrocagnasso/thext-pce-bio
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tibetan_bert_tncc_title_tsheg_en.md b/docs/_posts/ahmedlone127/2024-09-26-tibetan_bert_tncc_title_tsheg_en.md
new file mode 100644
index 00000000000000..727f84116fc6f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tibetan_bert_tncc_title_tsheg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tibetan_bert_tncc_title_tsheg BertForSequenceClassification from UTibetNLP
+author: John Snow Labs
+name: tibetan_bert_tncc_title_tsheg
+date: 2024-09-26
+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.`tibetan_bert_tncc_title_tsheg` is a English model originally trained by UTibetNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tibetan_bert_tncc_title_tsheg_en_5.5.0_3.0_1727352876367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tibetan_bert_tncc_title_tsheg_en_5.5.0_3.0_1727352876367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tibetan_bert_tncc_title_tsheg|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/UTibetNLP/tibetan-bert_tncc-title_tsheg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_30_intents_en.md b/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_30_intents_en.md
new file mode 100644
index 00000000000000..fafaf473e598e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_30_intents_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tiny_bert_30_intents BertForSequenceClassification from m-aliabbas1
+author: John Snow Labs
+name: tiny_bert_30_intents
+date: 2024-09-26
+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.`tiny_bert_30_intents` is a English model originally trained by m-aliabbas1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_30_intents_en_5.5.0_3.0_1727357217678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_30_intents_en_5.5.0_3.0_1727357217678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_30_intents|
+|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/m-aliabbas1/tiny_bert_30_intents
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_30_intents_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_30_intents_pipeline_en.md
new file mode 100644
index 00000000000000..5b646c4577fe68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_30_intents_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tiny_bert_30_intents_pipeline pipeline BertForSequenceClassification from m-aliabbas1
+author: John Snow Labs
+name: tiny_bert_30_intents_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`tiny_bert_30_intents_pipeline` is a English model originally trained by m-aliabbas1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_30_intents_pipeline_en_5.5.0_3.0_1727357218835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_30_intents_pipeline_en_5.5.0_3.0_1727357218835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_bert_30_intents_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_bert_30_intents_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_30_intents_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/m-aliabbas1/tiny_bert_30_intents
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_cupstone_en.md b/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_cupstone_en.md
new file mode 100644
index 00000000000000..584df5e900ea42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_cupstone_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tiny_bert_cupstone BertForSequenceClassification from petermutwiri
+author: John Snow Labs
+name: tiny_bert_cupstone
+date: 2024-09-26
+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.`tiny_bert_cupstone` is a English model originally trained by petermutwiri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_cupstone_en_5.5.0_3.0_1727342955802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_cupstone_en_5.5.0_3.0_1727342955802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_cupstone|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/petermutwiri/Tiny_Bert_Cupstone
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_cupstone_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_cupstone_pipeline_en.md
new file mode 100644
index 00000000000000..e2a1ae6a50b76b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tiny_bert_cupstone_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tiny_bert_cupstone_pipeline pipeline BertForSequenceClassification from petermutwiri
+author: John Snow Labs
+name: tiny_bert_cupstone_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`tiny_bert_cupstone_pipeline` is a English model originally trained by petermutwiri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_cupstone_pipeline_en_5.5.0_3.0_1727342958915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_cupstone_pipeline_en_5.5.0_3.0_1727342958915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_bert_cupstone_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_bert_cupstone_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_cupstone_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/petermutwiri/Tiny_Bert_Cupstone
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tiny_random_debertaforsequenceclassification_ydshieh_en.md b/docs/_posts/ahmedlone127/2024-09-26-tiny_random_debertaforsequenceclassification_ydshieh_en.md
new file mode 100644
index 00000000000000..5bc762b12ff091
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tiny_random_debertaforsequenceclassification_ydshieh_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tiny_random_debertaforsequenceclassification_ydshieh BertForSequenceClassification from ydshieh
+author: John Snow Labs
+name: tiny_random_debertaforsequenceclassification_ydshieh
+date: 2024-09-26
+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.`tiny_random_debertaforsequenceclassification_ydshieh` is a English model originally trained by ydshieh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_debertaforsequenceclassification_ydshieh_en_5.5.0_3.0_1727337442071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_debertaforsequenceclassification_ydshieh_en_5.5.0_3.0_1727337442071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_debertaforsequenceclassification_ydshieh|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|350.2 KB|
+
+## References
+
+https://huggingface.co/ydshieh/tiny-random-DebertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tiny_random_debertaforsequenceclassification_ydshieh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-tiny_random_debertaforsequenceclassification_ydshieh_pipeline_en.md
new file mode 100644
index 00000000000000..d211cf19c5d7b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tiny_random_debertaforsequenceclassification_ydshieh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tiny_random_debertaforsequenceclassification_ydshieh_pipeline pipeline BertForSequenceClassification from ydshieh
+author: John Snow Labs
+name: tiny_random_debertaforsequenceclassification_ydshieh_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`tiny_random_debertaforsequenceclassification_ydshieh_pipeline` is a English model originally trained by ydshieh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_debertaforsequenceclassification_ydshieh_pipeline_en_5.5.0_3.0_1727337442451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_debertaforsequenceclassification_ydshieh_pipeline_en_5.5.0_3.0_1727337442451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_random_debertaforsequenceclassification_ydshieh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_random_debertaforsequenceclassification_ydshieh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_debertaforsequenceclassification_ydshieh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|373.0 KB|
+
+## References
+
+https://huggingface.co/ydshieh/tiny-random-DebertaForSequenceClassification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-topic_abstract_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-topic_abstract_classification_pipeline_en.md
new file mode 100644
index 00000000000000..55682d02492287
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-topic_abstract_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English topic_abstract_classification_pipeline pipeline BertForSequenceClassification from Eitanli
+author: John Snow Labs
+name: topic_abstract_classification_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`topic_abstract_classification_pipeline` is a English model originally trained by Eitanli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_abstract_classification_pipeline_en_5.5.0_3.0_1727312820125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_abstract_classification_pipeline_en_5.5.0_3.0_1727312820125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("topic_abstract_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("topic_abstract_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_abstract_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Eitanli/topic_abstract_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-toxic_comment_classification_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-26-toxic_comment_classification_pipeline_pt.md
new file mode 100644
index 00000000000000..1c7ca5e2a65ec0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-toxic_comment_classification_pipeline_pt.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Portuguese toxic_comment_classification_pipeline pipeline BertForSequenceClassification from dougtrajano
+author: John Snow Labs
+name: toxic_comment_classification_pipeline
+date: 2024-09-26
+tags: [pt, open_source, pipeline, onnx]
+task: Text Classification
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_comment_classification_pipeline` is a Portuguese model originally trained by dougtrajano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_comment_classification_pipeline_pt_5.5.0_3.0_1727311086841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_comment_classification_pipeline_pt_5.5.0_3.0_1727311086841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("toxic_comment_classification_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("toxic_comment_classification_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_comment_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dougtrajano/toxic-comment-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-toxic_comment_classification_pt.md b/docs/_posts/ahmedlone127/2024-09-26-toxic_comment_classification_pt.md
new file mode 100644
index 00000000000000..c9105a03231268
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-toxic_comment_classification_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese toxic_comment_classification BertForSequenceClassification from dougtrajano
+author: John Snow Labs
+name: toxic_comment_classification
+date: 2024-09-26
+tags: [pt, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: pt
+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.`toxic_comment_classification` is a Portuguese model originally trained by dougtrajano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_comment_classification_pt_5.5.0_3.0_1727311017512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_comment_classification_pt_5.5.0_3.0_1727311017512.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_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dougtrajano/toxic-comment-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-toxic_dbmdz_bert_base_turkish_128k_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-26-toxic_dbmdz_bert_base_turkish_128k_uncased_en.md
new file mode 100644
index 00000000000000..e31a6ac23abad3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-toxic_dbmdz_bert_base_turkish_128k_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxic_dbmdz_bert_base_turkish_128k_uncased BertForSequenceClassification from l2reg
+author: John Snow Labs
+name: toxic_dbmdz_bert_base_turkish_128k_uncased
+date: 2024-09-26
+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.`toxic_dbmdz_bert_base_turkish_128k_uncased` is a English model originally trained by l2reg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_dbmdz_bert_base_turkish_128k_uncased_en_5.5.0_3.0_1727311027072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_dbmdz_bert_base_turkish_128k_uncased_en_5.5.0_3.0_1727311027072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_dbmdz_bert_base_turkish_128k_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|691.6 MB|
+
+## References
+
+https://huggingface.co/l2reg/toxic-dbmdz-bert-base-turkish-128k-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..0249c84bbf0220
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline pipeline BertForSequenceClassification from l2reg
+author: John Snow Labs
+name: toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline` is a English model originally trained by l2reg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline_en_5.5.0_3.0_1727311068189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline_en_5.5.0_3.0_1727311068189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_dbmdz_bert_base_turkish_128k_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|691.6 MB|
+
+## References
+
+https://huggingface.co/l2reg/toxic-dbmdz-bert-base-turkish-128k-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-toxicity_target_type_identification_pt.md b/docs/_posts/ahmedlone127/2024-09-26-toxicity_target_type_identification_pt.md
new file mode 100644
index 00000000000000..167f49a1c47c40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-toxicity_target_type_identification_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese toxicity_target_type_identification BertForSequenceClassification from dougtrajano
+author: John Snow Labs
+name: toxicity_target_type_identification
+date: 2024-09-26
+tags: [pt, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: pt
+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.`toxicity_target_type_identification` is a Portuguese model originally trained by dougtrajano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxicity_target_type_identification_pt_5.5.0_3.0_1727314228150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxicity_target_type_identification_pt_5.5.0_3.0_1727314228150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxicity_target_type_identification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dougtrajano/toxicity-target-type-identification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-trac2020_eng_a_bert_base_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-trac2020_eng_a_bert_base_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..4f7970b10f1930
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-trac2020_eng_a_bert_base_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trac2020_eng_a_bert_base_uncased_pipeline pipeline BertForSequenceClassification from socialmediaie
+author: John Snow Labs
+name: trac2020_eng_a_bert_base_uncased_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`trac2020_eng_a_bert_base_uncased_pipeline` is a English model originally trained by socialmediaie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trac2020_eng_a_bert_base_uncased_pipeline_en_5.5.0_3.0_1727311569080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trac2020_eng_a_bert_base_uncased_pipeline_en_5.5.0_3.0_1727311569080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trac2020_eng_a_bert_base_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trac2020_eng_a_bert_base_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trac2020_eng_a_bert_base_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/socialmediaie/TRAC2020_ENG_A_bert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-trac2020_hin_b_bert_base_multilingual_uncased_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-26-trac2020_hin_b_bert_base_multilingual_uncased_pipeline_xx.md
new file mode 100644
index 00000000000000..43023aade40b58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-trac2020_hin_b_bert_base_multilingual_uncased_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual trac2020_hin_b_bert_base_multilingual_uncased_pipeline pipeline BertForSequenceClassification from socialmediaie
+author: John Snow Labs
+name: trac2020_hin_b_bert_base_multilingual_uncased_pipeline
+date: 2024-09-26
+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.`trac2020_hin_b_bert_base_multilingual_uncased_pipeline` is a Multilingual model originally trained by socialmediaie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trac2020_hin_b_bert_base_multilingual_uncased_pipeline_xx_5.5.0_3.0_1727341890779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trac2020_hin_b_bert_base_multilingual_uncased_pipeline_xx_5.5.0_3.0_1727341890779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trac2020_hin_b_bert_base_multilingual_uncased_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trac2020_hin_b_bert_base_multilingual_uncased_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trac2020_hin_b_bert_base_multilingual_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/socialmediaie/TRAC2020_HIN_B_bert-base-multilingual-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-trac2020_hin_b_bert_base_multilingual_uncased_xx.md b/docs/_posts/ahmedlone127/2024-09-26-trac2020_hin_b_bert_base_multilingual_uncased_xx.md
new file mode 100644
index 00000000000000..4f4916a5a1a425
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-trac2020_hin_b_bert_base_multilingual_uncased_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual trac2020_hin_b_bert_base_multilingual_uncased BertForSequenceClassification from socialmediaie
+author: John Snow Labs
+name: trac2020_hin_b_bert_base_multilingual_uncased
+date: 2024-09-26
+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.`trac2020_hin_b_bert_base_multilingual_uncased` is a Multilingual model originally trained by socialmediaie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trac2020_hin_b_bert_base_multilingual_uncased_xx_5.5.0_3.0_1727341856482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trac2020_hin_b_bert_base_multilingual_uncased_xx_5.5.0_3.0_1727341856482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trac2020_iben_b_bert_base_multilingual_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/socialmediaie/TRAC2020_IBEN_B_bert-base-multilingual-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-transaction_categorization_en.md b/docs/_posts/ahmedlone127/2024-09-26-transaction_categorization_en.md
new file mode 100644
index 00000000000000..89ff8284c1731b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-transaction_categorization_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English transaction_categorization BertForSequenceClassification from jonjimenez
+author: John Snow Labs
+name: transaction_categorization
+date: 2024-09-26
+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.`transaction_categorization` is a English model originally trained by jonjimenez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transaction_categorization_en_5.5.0_3.0_1727352691983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transaction_categorization_en_5.5.0_3.0_1727352691983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transaction_categorization|
+|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/jonjimenez/transaction-categorization
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-transaction_categorization_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-transaction_categorization_pipeline_en.md
new file mode 100644
index 00000000000000..6deb2b8b3153ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-transaction_categorization_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English transaction_categorization_pipeline pipeline BertForSequenceClassification from jonjimenez
+author: John Snow Labs
+name: transaction_categorization_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`transaction_categorization_pipeline` is a English model originally trained by jonjimenez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transaction_categorization_pipeline_en_5.5.0_3.0_1727352712926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transaction_categorization_pipeline_en_5.5.0_3.0_1727352712926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("transaction_categorization_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("transaction_categorization_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transaction_categorization_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jonjimenez/transaction-categorization
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tupi_bert_large_portuguese_cased_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-26-tupi_bert_large_portuguese_cased_pipeline_pt.md
new file mode 100644
index 00000000000000..53cf32175d65c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tupi_bert_large_portuguese_cased_pipeline_pt.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Portuguese tupi_bert_large_portuguese_cased_pipeline pipeline BertForSequenceClassification from FpOliveira
+author: John Snow Labs
+name: tupi_bert_large_portuguese_cased_pipeline
+date: 2024-09-26
+tags: [pt, open_source, pipeline, onnx]
+task: Text Classification
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tupi_bert_large_portuguese_cased_pipeline` is a Portuguese model originally trained by FpOliveira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tupi_bert_large_portuguese_cased_pipeline_pt_5.5.0_3.0_1727344691119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tupi_bert_large_portuguese_cased_pipeline_pt_5.5.0_3.0_1727344691119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tupi_bert_large_portuguese_cased_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tupi_bert_large_portuguese_cased_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tupi_bert_large_portuguese_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/FpOliveira/tupi-bert-large-portuguese-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-tupi_bert_large_portuguese_cased_pt.md b/docs/_posts/ahmedlone127/2024-09-26-tupi_bert_large_portuguese_cased_pt.md
new file mode 100644
index 00000000000000..2667a33d36a924
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-tupi_bert_large_portuguese_cased_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese tupi_bert_large_portuguese_cased BertForSequenceClassification from FpOliveira
+author: John Snow Labs
+name: tupi_bert_large_portuguese_cased
+date: 2024-09-26
+tags: [pt, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: pt
+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.`tupi_bert_large_portuguese_cased` is a Portuguese model originally trained by FpOliveira.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tupi_bert_large_portuguese_cased_pt_5.5.0_3.0_1727344627895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tupi_bert_large_portuguese_cased_pt_5.5.0_3.0_1727344627895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tupi_bert_large_portuguese_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/FpOliveira/tupi-bert-large-portuguese-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-uned_tfg_08_58_mas_frecuentes_en.md b/docs/_posts/ahmedlone127/2024-09-26-uned_tfg_08_58_mas_frecuentes_en.md
new file mode 100644
index 00000000000000..892d4a6fc77815
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-uned_tfg_08_58_mas_frecuentes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English uned_tfg_08_58_mas_frecuentes BertForSequenceClassification from alexisdr
+author: John Snow Labs
+name: uned_tfg_08_58_mas_frecuentes
+date: 2024-09-26
+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.`uned_tfg_08_58_mas_frecuentes` is a English model originally trained by alexisdr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uned_tfg_08_58_mas_frecuentes_en_5.5.0_3.0_1727321642070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uned_tfg_08_58_mas_frecuentes_en_5.5.0_3.0_1727321642070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uned_tfg_08_58_mas_frecuentes|
+|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/alexisdr/uned-tfg-08.58_mas_frecuentes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-uned_tfg_08_58_mas_frecuentes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-uned_tfg_08_58_mas_frecuentes_pipeline_en.md
new file mode 100644
index 00000000000000..ef30571fd38296
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-uned_tfg_08_58_mas_frecuentes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English uned_tfg_08_58_mas_frecuentes_pipeline pipeline BertForSequenceClassification from alexisdr
+author: John Snow Labs
+name: uned_tfg_08_58_mas_frecuentes_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`uned_tfg_08_58_mas_frecuentes_pipeline` is a English model originally trained by alexisdr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uned_tfg_08_58_mas_frecuentes_pipeline_en_5.5.0_3.0_1727321676514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uned_tfg_08_58_mas_frecuentes_pipeline_en_5.5.0_3.0_1727321676514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("uned_tfg_08_58_mas_frecuentes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("uned_tfg_08_58_mas_frecuentes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uned_tfg_08_58_mas_frecuentes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/alexisdr/uned-tfg-08.58_mas_frecuentes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-vacc_en.md b/docs/_posts/ahmedlone127/2024-09-26-vacc_en.md
new file mode 100644
index 00000000000000..27f0d3af1743a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-vacc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English vacc BertForSequenceClassification from abigailp
+author: John Snow Labs
+name: vacc
+date: 2024-09-26
+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.`vacc` is a English model originally trained by abigailp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vacc_en_5.5.0_3.0_1727311237518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vacc_en_5.5.0_3.0_1727311237518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vacc|
+|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/abigailp/vacc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-vacc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-vacc_pipeline_en.md
new file mode 100644
index 00000000000000..d02f0e13789ed7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-vacc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English vacc_pipeline pipeline BertForSequenceClassification from abigailp
+author: John Snow Labs
+name: vacc_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`vacc_pipeline` is a English model originally trained by abigailp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vacc_pipeline_en_5.5.0_3.0_1727311258350.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vacc_pipeline_en_5.5.0_3.0_1727311258350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("vacc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("vacc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vacc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/abigailp/vacc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-vetbertdx_en.md b/docs/_posts/ahmedlone127/2024-09-26-vetbertdx_en.md
new file mode 100644
index 00000000000000..ed2fc37aaca263
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-26-vetbertdx_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English vetbertdx BertForSequenceClassification from havocy28
+author: John Snow Labs
+name: vetbertdx
+date: 2024-09-26
+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.`vetbertdx` is a English model originally trained by havocy28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vetbertdx_en_5.5.0_3.0_1727334997813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vetbertdx_en_5.5.0_3.0_1727334997813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vetbertdx|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.2 MB|
+
+## References
+
+https://huggingface.co/havocy28/VetBERTDx
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-yang_grammer_check_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-26-yang_grammer_check_pipeline_en.md
new file mode 100644
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+++ b/docs/_posts/ahmedlone127/2024-09-26-yang_grammer_check_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English yang_grammer_check_pipeline pipeline BertForSequenceClassification from xy4286
+author: John Snow Labs
+name: yang_grammer_check_pipeline
+date: 2024-09-26
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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.`yang_grammer_check_pipeline` is a English model originally trained by xy4286.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yang_grammer_check_pipeline_en_5.5.0_3.0_1727344298679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yang_grammer_check_pipeline_en_5.5.0_3.0_1727344298679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("yang_grammer_check_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("yang_grammer_check_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yang_grammer_check_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/xy4286/yang-grammer-check
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-26-yelp_model_3k_10layer_en.md b/docs/_posts/ahmedlone127/2024-09-26-yelp_model_3k_10layer_en.md
new file mode 100644
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+++ b/docs/_posts/ahmedlone127/2024-09-26-yelp_model_3k_10layer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English yelp_model_3k_10layer BertForSequenceClassification from mogmyij
+author: John Snow Labs
+name: yelp_model_3k_10layer
+date: 2024-09-26
+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.`yelp_model_3k_10layer` is a English model originally trained by mogmyij.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_model_3k_10layer_en_5.5.0_3.0_1727353411460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_model_3k_10layer_en_5.5.0_3.0_1727353411460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+