2024-09-25-bert_base_uncased_top_pruned_stsb_pipeline_en (#14415)

* Add model 2024-09-26-imdb_bert_5e_pipeline_en * Add model 2024-09-26-bert_sentiment_trainer_en * Add model 2024-09-26-cold_fusion_bert_base_uncased_itr26_seed0_en * Add model 2024-09-26-bert_emotion_khaldiabderrhmane_pipeline_en * Add model 2024-09-26-bert_base_uncased_finetuned_cola_ilkekas_en * Add model 2024-09-26-dbpedia_classes_bert_base_uncased_few_100_f_pipeline_en * Add model 2024-09-26-dbpedia_classes_bert_base_uncased_few_100_f_en * Add model 2024-09-23-all_roberta_large_v1_auto_and_commute_1000_16_5_oos_pipeline_en * Add model 2024-09-26-finetuned_bert_base_on_iemocap_2_en * Add model 2024-09-26-bert_base_chinese_en * Add model 2024-09-25-bert_base_turkish_128k_cased_offensive_tr * Add model 2024-09-26-bert_base_portuguese_cased_leandroaraujodev_en * Add model 2024-09-26-fakenews_bert_base_cased_arjun24420_en * Add model 2024-09-26-autotrain_customers_email_sentiment_3449294006_en * Add model 2024-09-26-bert_base_finetuned_lcqmc_chinese_pipeline_zh * Add model 2024-09-26-autotrain_customers_email_sentiment_3449294006_pipeline_en * Add model 2024-09-23-distilbert_base_uncased_sancho3010_pipeline_en * Add model 2024-09-26-bert_base_cased_english_sentweet_profane_en * Add model 2024-09-26-n_bert_agnews_padding10model_pipeline_en * Add model 2024-09-20-distilbert_base_uncased_finetuned_emotion_shng2025_en * Add model 2024-09-26-tiny_bert_30_intents_pipeline_en * Add model 2024-09-26-tiny_bert_30_intents_en * Add model 2024-09-26-arabicsent_chamabert_pipeline_ar * Add model 2024-09-26-distilbert_base_sst2_pipeline_en * Add model 2024-09-26-distilbert_base_sst2_en * Add model 2024-09-26-bert_base_multilingual_cased_qqp_100_xx * Add model 2024-09-26-named_entity_model_pipeline_en * Add model 2024-09-26-bert_base_fine_tuned_text_classificarion_ds_dropout_en * Add model 2024-09-26-bert_base_uncased_finetuned_dropout_cola_0_8_en * Add model 2024-09-25-nusabert_base_indonesian_plutchik_emotion_analysis_id * Add model 2024-09-26-nlpfinalbert0_pipeline_en * Add model 2024-09-26-roberta_base_finetuned_lcqmc_chinese_pipeline_zh * Add model 2024-09-24-tmp0xmacdh7_pipeline_en * Add model 2024-09-26-stock_market_news_classification_pipeline_en * Add model 2024-09-26-bert_multilingual_sdg_classification_xx * Add model 2024-09-25-monglish_arabic_faq_v2_pipeline_ar * Add model 2024-09-26-bert_mnli_8000_pipeline_en * Add model 2024-09-26-klimabert_da * Add model 2024-09-26-bert_finetuned_brianchu26_pipeline_en * Add model 2024-09-26-text_classification_bert_base_uncased_en * Add model 2024-09-26-bert_base_cased_snli_model4_en * Add model 2024-09-26-bert_base_finetuned_sts_ezre_en * Add model 2024-09-26-bert_base_uncased_finetuned_sst2_senfu_en * Add model 2024-09-26-bert_base_portuguese_cased_assin_entailment_pipeline_pt * Add model 2024-09-26-bert_base_uncased_offenseval2019_downsample_pipeline_en * Add model 2024-09-26-bert_base_portuguese_cased_assin_entailment_pt * Add model 2024-09-26-bert_samoan_gen1_large_defined_summarized_chuvash_0_en * Add model 2024-09-26-bert_base_uncased_finetuned_cola_ayouta300_pipeline_en * Add model 2024-09-26-bert_base_spanish_wwm_uncased_finetuned_meia_analisisdesentimientos_sandydelmar_pipeline_en * Add model 2024-09-26-sagemaker_bert_base_arabic_arabic_sas_en * Add model 2024-09-26-bert_base_uncased_finetuned_mrpc_senfu_pipeline_en * Add model 2024-09-26-sagemaker_bert_base_arabic_arabic_sas_pipeline_en * Add model 2024-09-26-sead_l_6_h_256_a_8_sst2_en * Add model 2024-09-26-check_sec_tiny_pipeline_en * Add model 2024-09-26-check_sec_tiny_en * Add model 2024-09-26-legalpro_bert_base_pipeline_en * Add model 2024-09-26-depression_ai_pipeline_en * Add model 2024-09-26-bert_base_finetuned_sts_cloudblack_en * Add model 2024-09-26-bert_base_uncased_finetuned_cola_sepehr_sepehr_sepehr_saturday_nepal_bhasa_en * Add model 2024-09-26-bert_base_uncased_finetuned_cola_ilkekas_pipeline_en * Add model 2024-09-26-bert_base_uncased_top_pruned_qqp_pipeline_en * Add model 2024-09-20-augmented_model_fast_2_c_norwegian_copula_norwegian_time_en * Add model 2024-09-26-paraphrase_bert_portuguese_en * Add model 2024-09-26-protein_lm_gb1_en * Add model 2024-09-26-bert_base_chinese_climate_risk_opportunity_prediction_vv4_en * Add model 2024-09-26-bert_base_uncased_finetuned_filtered_0608_test_en * Add model 2024-09-26-bert_base_finetuned_sts_cloudblack_pipeline_en * Add model 2024-09-26-response_quality_classifier_base_ru * Add model 2024-09-26-bert_base_cased_finetuned_qqp_zyl1024_en * Add model 2024-09-18-finetuning_distilbert_sentiment_model_en * Add model 2024-09-25-autotrain_chuvash_resume_56492130967_en * Add model 2024-09-26-bert_base_uncased_newscategoryclassification_fullmodel_en * Add model 2024-09-24-roberta_base_epoch_24_pipeline_en * Add model 2024-09-24-sent_mi_bert_base_pipeline_en * Add model 2024-09-24-db_mc2_4_1_en * Add model 2024-09-26-mus_promoter_finetuned_lora_bert_base_lastln_t2t_pipeline_en * Add model 2024-09-26-n_bert_agnews_padding30model_en * Add model 2024-09-26-bert_large_cased_snli_model1_pipeline_en * Add model 2024-09-26-gpc_brick_klassifikator_pipeline_en * Add model 2024-09-26-bert_base_cased_hardaderail_pipeline_en * Add model 2024-09-26-bert_twitter_portuguese_icelandic_unemployed_pt * Add model 2024-09-25-bert_base_multilingual_cased_finetuned_ner_geocorpus_xx * Add model 2024-09-26-bert_base_uncased_finetuned_qqp_anuj55_en * Add model 2024-09-26-dbpedia_classes_bert_base_uncased_few_20_baseline_pipeline_en * Add model 2024-09-26-thext_pce_bio_pipeline_en * Add model 2024-09-26-aes_bert_base_lr3e_05_wr1e_01_wd1e_02_ep5_bell_en * Add model 2024-09-26-bert_base_arabic_electra_xnli_finetuned_en * Add model 2024-09-26-depression_and_non_depression_classifier_en * Add model 2024-09-26-albert_jiiyy_en * Add model 2024-09-26-bert_multilingual_sdg_classification_pipeline_xx * Add model 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2024-09-26-arabert_restaurant_sentiment_pipeline_ar * Add model 2024-09-26-mobilebert_uncased_finetuned_cola_pipeline_en * Add model 2024-09-26-legalbert_large_1_7m_1_class_actions_en * Add model 2024-09-26-cold_fusion_bert_base_uncased_itr28_seed0_en * Add model 2024-09-23-sent_biobert_patent_reference_extraction_pipeline_en * Add model 2024-09-26-misinformation_covidbert_base_german_cased_pipeline_en * Add model 2024-09-26-bert_large_mnli_pipeline_en * Add model 2024-09-25-bert_base_b2b_pipeline_en * Add model 2024-09-26-bert_test_benj3037_pipeline_en * Add model 2024-09-26-bert_mrpc_trained_dichitha_pipeline_en * Add model 2024-09-25-bert_sanskrit_saskta_test_en * Add model 2024-09-24-burmese_awesome_model_jfunk14_pipeline_en * Add model 2024-09-25-sentiment_classfication_distilbert_model_pipeline_en * Add model 2024-09-25-miniproject_pipeline_en * Add model 2024-09-26-transaction_categorization_pipeline_en * Add model 2024-09-20-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent2_pipeline_en * Add model 2024-09-26-sead_l_6_h_256_a_8_wnli_en * Add model 2024-09-26-nlp_reviews_en * Add model 2024-09-25-hyp_only_machine_gen_temp_1_pipeline_en * Add model 2024-09-26-bert_base_uncased_newscategoryclassification_fullmodel_pipeline_en * Add model 2024-09-25-bert_base_spanish_wwm_cased_k3_pipeline_en * Add model 2024-09-25-hyp_only_machine_gen_temp_1_en * Add model 2024-09-26-frugalscore_small_bert_base_mover_score_pipeline_en * Add model 2024-09-26-bert_stsb_distilled_cka_pipeline_en * Add model 2024-09-26-bert_base_multilingual_cased_mrpc_1_pipeline_xx * Add model 2024-09-26-bert_base_cased_ft5_6ep_s42_en * Add model 2024-09-26-sead_l_6_h_256_a_8_qnli_en * Add model 2024-09-26-bert_base_uncased_header_plus_textsim_pipeline_en * Add model 2024-09-24-burmese_awesome_text_classification_jeruan3_pipeline_en * Add model 2024-09-23-qa_model_gigazinie_en * Add model 2024-09-26-english_astitchtask1a_bertbasecased_truetrue_0_3_best_pipeline_en * Add model 2024-09-26-hiv_v3_coreceptor_en * Add model 2024-09-26-absabert_keluhanpln_v3_id * Add model 2024-09-26-bert_small_phishing_pipeline_en * Add model 2024-09-25-nameattrsbertfinal_pipeline_en * Add model 2024-09-26-bert_small_phishing_en * Add model 2024-09-20-finetuning_sentiment_model_3500_samples_train_yvillamil_en * Add model 2024-09-26-bert_base_banking77_pt2_nullzero_live_pipeline_en * Add model 2024-09-26-bert_base_uncased_tense_pipeline_en * Add model 2024-09-26-depression_and_non_depression_classifier_pipeline_en * Add model 2024-09-26-bert_base_uncased_10k_vulgarity_en * Add model 2024-09-26-bert_base_uncased_finetuned_cola_melihberky_pipeline_en * Add model 2024-09-26-bert_base_cased_xuehangcang_en * Add model 2024-09-26-bert_base_multilingual_uncased_sentiment_finetuned_meia_analisisdesentimientos_mfidabel_pipeline_xx * Add model 2024-09-25-tiny_bert_sst2_distilled_clone_en * Add model 2024-09-26-finetuning_sentiment_model_3000_samples_shubham166_pipeline_en * Add model 2024-09-26-bert_base_multilingual_uncased_sentiment_meia_pipeline_xx * Add model 2024-09-26-mental_bert_mi_classification_en * Add model 2024-09-26-ptv2_bert_large_uncased_sst2_pipeline_en * Add model 2024-09-26-mental_bert_mi_classification_pipeline_en * Add model 2024-09-26-boss_toxicity_12000_bert_base_uncased_en * Add model 2024-09-25-vaccinchatsentenceclassifierdutch_frombertje2_dadialog_en * Add model 2024-09-26-bert_base_uncased_sst2_kowsiknd_en * Add model 2024-09-26-cold_fusion_bert_base_uncased_itr28_seed0_pipeline_en * Add model 2024-09-26-simple_classification_en * Add model 2024-09-26-bert_base_spanish_wwm_uncased_r_tag_0_3_pipeline_en * Add model 2024-09-25-albert_base_chinese_finetuned_qqp_fhtm_5x_weak_en * Add model 2024-09-26-bert_base_chinese_finetuned_intent_recognition_biomedical_en * Add model 2024-09-26-n_bert_imdb_padding50model_pipeline_en * Add model 2024-09-26-n_bert_agnews_padding70model_en * Add model 2024-09-25-dnabert_500down_pipeline_en * Add model 2024-09-26-bert_base_uncased_cola_finetuned_cola_pipeline_en * Add model 2024-09-26-albert_kor_base_finetuned_classfication_en * Add model 2024-09-26-klue_bert_base_pipeline_en * Add model 2024-09-26-klue_bert_base_en * Add model 2024-09-26-marathi_topic_all_doc_pipeline_mr * Add model 2024-09-26-protein_lm_gb1_pipeline_en * Add model 2024-09-26-bert_aigc_classification_english_en * Add model 2024-09-26-human_directed_sentiment_pipeline_en * Add model 2024-09-26-bert_base_uncased_jigsaw_toxic_classifier_pipeline_en * Add model 2024-09-26-clasificador_muchocine_pipeline_en * Add model 2024-09-26-movie_genre_predictions_en * Add model 2024-09-26-movie_genre_predictions_pipeline_en * Add model 2024-09-26-bert_base_uncased_finetuned_filtered_0609_pipeline_en * Add model 2024-09-22-bert_large_portuguese_cased_assin2_entailment_pt * Add model 2024-09-26-bert_base_arabertv2_1_pipeline_en * Add model 2024-09-26-bert_tiny_massive_intent_kd_bert_pipeline_en * Add model 2024-09-26-disease_classifier_base_en * Add model 2024-09-25-legal_ner_finetuned_en * Add model 2024-09-26-miread_en * Add model 2024-09-26-bert_finetuned_toxic_en * Add model 2024-09-26-finetuned_marbert_arabic_emotional_analysis_ar * Add model 2024-09-26-bert_base_uncased_finetuned_stsb_airay_pipeline_en * Add model 2024-09-26-bert_mdgender_convai_ternary_pipeline_en * Add model 2024-09-26-norwegian_bokml_bert_finetuned_on_imdb_pipeline_en * Add model 2024-09-26-bert_without_preprocessing_grid_search_en * Add model 2024-09-24-n_distilbert_sst5_padding0model_wyzhw_pipeline_en * Add model 2024-09-24-sent_mi_bert_base_en * Add model 2024-09-26-ciuo08cl_4d_2024_pipeline_en * Add model 2024-09-26-mental_health_classification_v0_2_pipeline_en * Add model 2024-09-26-boss_sentiment_6000_bert_base_uncased_en * Add model 2024-09-25-phrasebank_sentiment_analysis_saiteja_en * Add model 2024-09-26-albert_base_finetuned_ocnli_chinese_pipeline_zh * Add model 2024-09-26-bert_finetuned_mrpc_dariodematties_en * Add model 2024-09-26-bert_base_uncased_10k_vulgarity_pipeline_en * Add model 2024-09-26-reviewusefulness_binaryclassification_de * Add model 2024-09-26-bert_base_uncased_finetuned_mnli_minseok0809_en * Add model 2024-09-23-t_5_pipeline_en * Add model 2024-09-26-marathi_topic_medium_doc_mr * Add model 2024-09-26-marathi_topic_medium_doc_pipeline_mr * Add model 2024-09-26-bert_large_uncased_adult_text_classifier_en * Add model 2024-09-26-mobilebert_uncased_title2genre_en * Add model 2024-09-20-trainer3b_pipeline_en * Add model 2024-09-26-n_bert_sst5_padding70model_pipeline_en * Add model 2024-09-26-sentiment_analysis_task_1_pipeline_en * Add model 2024-09-26-bert_base_uncased_finetuned_spam_pipeline_en * Add model 2024-09-26-bert_base_uncased_finetuned_spam_en * Add model 2024-09-26-bertsmallclassifier_pipeline_en * Add model 2024-09-26-hyp_only_mistral_instruct_filtered_final_en * Add model 2024-09-26-n_bert_agnews_padding70model_pipeline_en * Add model 2024-09-25-phrasebank_sentiment_analysis_nikolasmoya_pipeline_en * Add model 2024-09-25-essay_element_classifier_bert_pipeline_en * Add model 2024-09-22-distilroberta_base_mrpc_glue_kevinvelez18_en * Add model 2024-09-26-odia_topic_all_doc_pipeline_or * Add model 2024-09-26-bert_base_chinese_finetuning_financial_news_sentiment_test_zh * Add model 2024-09-25-bert_base_uncased_issues_128_anantonios9_pipeline_en * Add model 2024-09-23-hw01_chchang_pipeline_en * Add model 2024-09-20-roberta_baseline_finetuned_atis_3pct_v2_en * Add model 2024-09-26-bio_clinicalbert_finetuned_20pc_en * Add model 2024-09-26-bert_base_uncased_glue_mrpc_camilovg_en * Add model 2024-09-26-bert_base_chinese_accidentreason_classifier_zh * Add model 2024-09-26-bert_base_uncased_glue_mrpc_camilovg_pipeline_en * Add model 2024-09-26-bert_twitter_portuguese_job_offer_pt * Add model 2024-09-26-chinese_roberta_wwm_ext_chnsenticorp_en * Add model 2024-09-26-bert_base_uncased_ag_news_finetuned_2_en * Add model 2024-09-26-bert_base_uncased_boolq_howey_en * Add model 2024-09-26-bert_base_german_cased_hatespeech_germeval18_pipeline_en * Add model 2024-09-26-bert_base_uncased_boolq_howey_pipeline_en * Add model 2024-09-26-albert_kor_base_finetuned_ynat_en * Add model 2024-09-26-sead_l_6_h_256_a_8_wnli_pipeline_en * Add model 2024-09-26-n_bert_imdb_padding40model_en * Add model 2024-09-26-frugalscore_small_bert_base_mover_score_en * Add model 2024-09-26-fine_tuned_bert_base_uncased_theknight115_en * Add model 2024-09-26-bert_base_uncased_textcls_rheology_20230912_en * Add model 2024-09-26-bert_base_chinese_climate_risk_opportunity_prediction_vv4_pipeline_en * Add model 2024-09-26-bert_base_chinese_pipeline_en * Add model 2024-09-26-mnd_tweetevalbert_model_en * Add model 2024-09-26-sentiment_analysis_indobertweet_en * Add model 2024-09-26-sead_l_6_h_256_a_8_qnli_pipeline_en * Add model 2024-09-26-bert_finetuned_toxic_pipeline_en * Add model 2024-09-25-bert_base_banking77_pt2_davinnnnn_en * Add model 2024-09-16-xlm_roberta_base_finetuned_panx_german_ryatora_pipeline_en * Add model 2024-09-26-boss_toxicity_6000_bert_base_uncased_pipeline_en * Add model 2024-09-24-finetuning_sentiment_model_3000_kaggle_pipeline_en * Add model 2024-09-26-bert_43_multilabel_emotion_detection_en * Add model 2024-09-26-arabicsent_chamabert_ar --------- Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
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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
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+---
+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}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[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
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+documentAssembler = DocumentAssembler() \
+    .setInputCol('text') \
+    .setOutputCol('document')
+
+tokenizer = Tokenizer() \
+    .setInputCols(['document']) \
+    .setOutputCol('token')
+
+tokenClassifier  = XlmRoBertaForTokenClassification.pretrained("somd_xlm_stage1_v2","en") \
+     .setInputCols(["documents","token"]) \
+     .setOutputCol("ner")
+
+pipeline = Pipeline().setStages([documentAssembler, tokenizer, tokenClassifier])
+data = spark.createDataFrame([["I love spark-nlp"]]).toDF("text")
+pipelineModel = pipeline.fit(data)
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+val documentAssembler = new DocumentAssembler()
+    .setInputCols("text")
+    .setOutputCols("document")
+
+val tokenizer = new Tokenizer()
+    .setInputCols("document")
+    .setOutputCol("token")
+
+val tokenClassifier = XlmRoBertaForTokenClassification.pretrained("somd_xlm_stage1_v2", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("ner") 
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, tokenClassifier))
+val data = Seq("I love spark-nlp").toDS.toDF("text")
+val pipelineModel = pipeline.fit(data)
+val pipelineDF = pipelineModel.transform(data)
+
+```
+</div>
+
+{:.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
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
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+---
+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}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[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
+
+
+
+<div class="tabs-box" markdown="1">
+{% 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)
+
+```
+</div>
+
+{:.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
diff --git a/docs/_posts/ahmedlone127/2024-09-11-action_pipeline_en.md 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}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[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
+
+
+
+<div class="tabs-box" markdown="1">
+{% 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)
+
+```
+</div>
+
+{:.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
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
@@ -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}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[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
+
+
+
+<div class="tabs-box" markdown="1">
+{% 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)
+
+```
+</div>
+
+{:.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
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
@@ -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}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[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
+
+
+
+<div class="tabs-box" markdown="1">
+{% 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)
+
+```
+</div>
+
+{:.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