2023-11-06-bert_ner_biobert_ner_bc2gm_corpus_en (#14055)

* Add model 2023-11-07-bert_token_classifier_sentcore_zh * Add model 2023-11-07-bert_token_classifier_berturk_uncased_keyword_discriminator_tr * Add model 2023-11-07-spanish_capitalization_punctuation_restoration_es * Add model 2023-11-07-bert_token_classifier_uncased_keyword_extractor_en * Add model 2023-11-07-clinicalnerpt_chemical_pt * Add model 2023-11-07-bert_base_finnish_uncased_ner_fi * Add model 2023-11-07-bert_token_classifier_german_intensifiers_tagging_de * Add model 2023-11-07-bert_token_classifier_wg_bert_en * Add model 2023-11-07-bert_finetuned_unpunctual_text_segmentation_v2_en * Add model 2023-11-07-scibert_scivocab_uncased_finetuned_ner_jsylee_en * Add model 2023-11-07-bert_tiny_chinese_ws_zh * Add model 2023-11-07-bert_token_classifier_instafood_ner_en * Add model 2023-11-07-hebert_medical_ner_fixed_labels_v3_en * Add model 2023-11-07-bioner_en * Add model 2023-11-07-bert_base_chinese_stock_ner_zh * Add model 2023-11-07-bert_portuguese_ner_archive_en * Add model 2023-11-07-bpmn_information_extraction_en * Add model 2023-11-07-bert_medical_ner_proj_en * Add model 2023-11-07-bert_base_uncased_city_country_ner_ml6team_en * Add model 2023-11-07-resumeparserbert_en * Add model 2023-11-07-bent_pubmedbert_ner_organism_en * Add model 2023-11-07-rubert_ext_sum_gazeta_ru * Add model 2023-11-07-assignment2_meher_test3_en * Add model 2023-11-07-pashto_word_segmentation_en * Add model 2023-11-07-idrisi_lmr_en_random_typeless_en * Add model 2023-11-07-bert_base_finetuned_sayula_popoluca_ud_english_ewt_en * Add model 2023-11-07-bert_token_classifier_swedish_ner_sv * Add model 2023-11-07-ner_bert_base_cased_ontonotesv5_englishv4_en * Add model 2023-11-07-bent_pubmedbert_ner_cell_line_en * Add model 2023-11-07-porttagger_base_en * Add model 2023-11-07-bert_finetuned_ner_konic_en * Add model 2023-11-07-clinicalnerpt_disease_pt * Add model 2023-11-07-bert_token_classifier_restore_punctuation_ptbr_pt * Add model 2023-11-07-nlp_tokenclass_ner_en * Add model 2023-11-07-rubert_tiny_obj_asp_en * Add model 2023-11-07-elhberteu_sayula_popoluca_ud1_2_eu * Add model 2023-11-07-biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner_en * Add model 2023-11-07-tiny_random_bertfortokenclassification_hf_internal_testing_en * Add model 2023-11-07-bert_base_named_entity_extractor_en * Add model 2023-11-07-bert_base_spanish_wwm_cased_finetuned_ner_en * Add model 2023-11-07-polymerner_en * Add model 2023-11-07-deprem_ner_tr * Add model 2023-11-07-bert_finetuned_ner_pii_en * Add model 2023-11-07-ner_fine_tune_bert_en * Add model 2023-11-07-wikiser_bert_base_en * Add model 2023-11-07-bent_pubmedbert_ner_anatomical_en * Add model 2023-11-07-emscad_skill_extraction_conference_token_classification_en * Add model 2023-11-07-biobert_diseases_ner_alvaroalon2_en * Add model 2023-11-07-rubert_base_cased_conversational_ner_v1_en * Add model 2023-11-07-biobert_base_cased_v1_2_bc2gm_ner_en * Add model 2023-11-07-bengali_language_ner_bn * Add model 2023-11-07-jira_bert_nerr_en * Add model 2023-11-07-ner_bert_large_cased_portuguese_lenerbr_pt * Add model 2023-11-07-vila_scibert_cased_s2vl_en * Add model 2023-11-07-named_entity_recognition_en * Add model 2023-11-07-bert_finetuned_ner_lightsaber689_en * Add model 2023-11-07-body_part_annotator_en * Add model 2023-11-07-clinicalnerpt_medical_pt * Add model 2023-11-07-finbert_ner_fi * Add model 2023-11-07-tempclin_biobertpt_all_pt * Add model 2023-11-07-unbias_ner_en * Add model 2023-11-07-bulbert_ner_bsnlp_en * Add model 2023-11-07-treatment_disease_ner_en * Add model 2023-11-07-scbert_ser3_en * Add model 2023-11-07-bert_restore_punctuation_turkish_tr * Add model 2023-11-07-bert_finetuned_ner_minea_en * Add model 2023-11-07-bert_tiny_finetuned_ner_en * Add model 2023-11-07-unbias_named_entity_recognition_en * Add model 2023-11-07-mbert_bengali_ner_bn * Add model 2023-11-07-roberta_finetuned_privacy_detection_zh * Add model 2023-11-07-zeroshotbioner_en * Add model 2023-11-07-bert_base_uncased_finetuned_scientific_eval_en * Add model 2023-11-07-bert_base_romanian_ner_ro * Add model 2023-11-07-bent_pubmedbert_ner_cell_component_en * Add model 2023-11-07-idrisi_lmr_en_random_typebased_en * Add model 2023-11-07-bert_base_cased_literary_ner_en * Add model 2023-11-07-scibert_ner_en * Add model 2023-11-07-ade_bio_clinicalbert_ner_en * Add model 2023-11-07-sindhi_ner_v2_en * Add model 2023-11-07-medical_condition_annotator_en * Add model 2023-11-07-clinicalnerpt_laboratory_pt * Add model 2023-11-07-biobert_diseases_ner_sschet_en * Add model 2023-11-07-unicausal_tok_baseline_en * Add model 2023-11-07-chinese_address_ner_en * Add model 2023-11-07-dbbert_pos_en * Add model 2023-11-07-gbert_legal_ner_de * Add model 2023-11-07-ner_test_bert_base_uncased_finetuned_500k_adamw_3_epoch_locations_en * Add model 2023-11-07-bert_finetuned_history_ner_en * Add model 2023-11-07-comp_seqlab_dslim_bert_en * Add model 2023-11-07-bert_finetuned_ner_lamthanhtin2811_en * Add model 2023-11-07-pico_ner_adapter_en * Add model 2023-11-07-personal_noun_detection_german_bert_de * Add model 2023-11-07-indobertweet_finetuned_ijelid_en * Add model 2023-11-07-german_english_code_switching_identification_en * Add model 2023-11-07-sindhi_panelization_v2_en * Add model 2023-11-07-indobert_large_p2_finetuned_chunking_id * Add model 2023-11-07-biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease_en * Add model 2023-11-07-bpmn_information_extraction_v2_en * Add model 2023-11-07-bert_tagalog_base_uncased_sayula_popoluca_tagger_tl * Add model 2023-11-07-bert_large_portuguese_ner_enamex_pt * Add model 2023-11-07-biolinkbert_base_finetuned_n2c2_ner_en * Add model 2023-11-07-toponym_19thc_english_en * Add model 2023-11-07-legal_bert_ner_base_cased_ptbr_pt * Add model 2023-11-07-sindhi_geneprod_roles_v2_en * Add model 2023-11-07-bert_large_cased_ft_ner_maplestory_en * Add model 2023-11-07-bert_base_portuguese_ner_enamex_pt * Add model 2023-11-07-hebert_medical_ner_fixed_labels_v1_en * Add model 2023-11-07-multilingual_arabic_token_classification_model_xx * Add model 2023-11-07-clinicalnerpt_sign_pt * Add model 2023-11-07-bert_base_chinese_finetuned_ner_danielwei0214_zh * Add model 2023-11-07-hindi_bert_ner_en * Add model 2023-11-07-clinicalnerpt_finding_pt * Add model 2023-11-07-mbert_finetuned_ner_en * Add model 2023-11-07-sindhi_smallmol_roles_v2_en * Add model 2023-11-07-idrisi_lmr_en_timebased_typebased_en * Add model 2023-11-07-nominal_groups_recognition_medical_disease_competencia2_bert_medical_ner_es * Add model 2023-11-07-species_identification_mbert_fine_tuned_train_test_en * Add model 2023-11-07-postagger_portuguese_pt * Add model 2023-11-07-bert_base_chinese_finetuned_ner_leonadase_en * Add model 2023-11-07-nyt_ingredient_tagger_gte_small_en * Add model 2023-11-07-nlp_cic_wfu_distemist_fine_tuned_bert_base_multilingual_cased_xx * Add model 2023-11-07-finance_ner_v0_0_9_finetuned_ner_en * Add model 2023-11-07-bert_base_chinese_finetuned_ner_gyr66_zh * Add model 2023-11-07-bert_finetuned_ner_vbhasin_en * Add model 2023-11-07-bert_finetuned_animacy_en * Add model 2023-11-07-skill_role_mapper_en * Add model 2023-11-07-bert_base_ner_058_en * Add model 2023-11-07-multilingual_english_token_classification_model_xx * Add model 2023-11-07-sayula_popoluca_thai_th * Add model 2023-11-07-idrisi_lmr_en_timebased_typeless_en * Add model 2023-11-07-jobbert_base_cased_ner_en * Add model 2023-11-07-chinese_wiki_punctuation_restore_zh * Add model 2023-11-07-wikiser_bert_large_en * Add model 2023-11-07-bert_finetuned_ner_applemoon_en * Add model 2023-11-07-bert_base_uncased_conll2003_hfeng_en * Add model 2023-11-07-products_ner8_en * Add model 2023-11-07-bde_abbrev_batteryonlybert_cased_base_en * Add model 2023-11-07-bert4ner_base_chinese_zh * Add model 2023-11-07-emscad_skill_extraction_token_classification_en * Add model 2023-11-07-bert_finetuned_n2c2_ner_en * Add model 2023-11-07-pii_annotator_en * Add model 2023-11-07-bert_finetuned_tech_product_name_ner_en * Add model 2023-11-07-classical_chinese_punctuation_guwen_biaodian_zh * Add model 2023-11-07-rubert_base_massive_ner_ru * Add model 2023-11-07-pashto_sayula_popoluca_en * Add model 2023-11-07-bert_base_multilingual_cased_sayula_popoluca_english_xx * Add model 2023-11-07-clinicalnerpt_pharmacologic_pt * Add model 2023-11-07-dark_bert_finetuned_ner_en * Add model 2023-11-07-bert_base_chinese_medical_ner_zh * Add model 2023-11-07-fullstop_indonesian_punctuation_prediction_id * Add model 2023-11-07-russian_damage_trigger_effect_4_en * Add model 2023-11-07-hotel_reviews_en * Add model 2023-11-07-macbert_base_chinese_medical_collation_zh * Add model 2023-11-07-biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease_en * Add model 2023-11-07-bert_uncased_keyword_extractor_en * Add model 2023-11-07-berturk_cased_ner_tr * Add model 2023-11-07-autotrain_medicaltokenclassification_1279048948_en * Add model 2023-11-07-bert_tiny_finetuned_finer_139_full_intel_cpu_en * Add model 2023-11-07-bde_sayula_popoluca_bert_cased_base_en * Add model 2023-11-07-clinicalnerpt_healthcare_pt * Add model 2023-11-07-arabert_arabic_ner_en * Add model 2023-11-07-med_ner_2_en * Add model 2023-11-07-berttest2_rtwc_en * Add model 2023-11-07-bert_base_multilingual_cased_finetuned_conll03_spanish_xx * Add model 2023-11-07-scibert_finetuned_ner_eeshclusive_en * Add model 2023-11-07-bert_ner_4_en * Add model 2023-11-07-bert_german_ler_de * Add model 2023-11-07-bert_finetuned_ner_default_parameters_en * Add model 2023-11-07-urdu_bert_ner_en * Add model 2023-11-07-gp3_medical_token_classification_en * Add model 2023-11-07-bert_finetuned_ner_rahulmukherji_en * Add model 2023-11-07-ner_bio_annotated_7_1_en * Add model 2023-11-07-bert_finetuned_ner_accelerate_sanjay7178_en * Add model 2023-11-07-macbert_base_chinese_medicine_recognition_zh * Add model 2023-11-07-bert_base_ner_reptile_5_datasets_en * Add model 2023-11-07-ner_fine_tune_bert_ner_en * Add model 2023-11-07-scibert_scivocab_uncased_ner_visbank_en * Add model 2023-11-08-bulbert_ner_wikiann_en * Add model 2023-11-08-bert_finetuned_ner_louislian2341_en * Add model 2023-11-08-guj_sayula_popoluca_tagging_v2_en * Add model 2023-11-08-mongolian_bert_base_demo_named_entity_mn * Add model 2023-11-08-postagger_bio_english_en * Add model 2023-11-08-finer_139_xtremedistil_l12_h384_en * Add model 2023-11-08-biobert_protein_ner_en * Add model 2023-11-08-bert_base_finetuned_ner_en * Add model 2023-11-08-heb_medical_baseline_en * Add model 2023-11-08-bert_base_uncased_finetuned_ner_sohamtiwari3120_en * Add model 2023-11-08-bert_base_chinese_finetuned_split_en * Add model 2023-11-08-bert_base_spanish_wwm_uncased_finetuned_ner_en * Add model 2023-11-08-bert_finetuned_ner_heenamir_en * Add model 2023-11-08-multilingual_bengali_token_classification_model_xx * Add model 2023-11-08-bert_small_finetuned_xglue_ner_en * Add model 2023-11-08-bert_finetuned_ner_happy_ditto_en * Add model 2023-11-08-bert_mini_finetuned_ner_chinese_en * Add model 2023-11-08-nlp_hiba_distemist_fine_tuned_bert_base_multilingual_cased_xx * Add model 2023-11-08-bert_tiny_finetuned_finer_en * Add model 2023-11-08-multilingual_indonesian_token_classification_model_xx * Add model 2023-11-08-rhenus_v1_0_bert_base_multilingual_uncased_xx * Add model 2023-11-08-resume_ner_1_en * Add model 2023-11-08-bert_finetuned_ner_joannaandrews_en * Add model 2023-11-08-all_15_bert_finetuned_ner_en * Add model 2023-11-08-biobert_ner_diseases_model_en * Add model 2023-11-08-bert_finetuned_ner_na20b039_en * Add model 2023-11-08-pubmedbert_base_finetuned_n2c2_ner_en * Add model 2023-11-08-bert_base_portuguese_cased_harem_selective_samoan_first_ner_en * Add model 2023-11-08-bert_restore_punctuation_st1992_en * Add model 2023-11-08-biomedical_ner_maccrobat_bert_en * Add model 2023-11-08-bio_clinicalbert_2e5_top10_20testset_en * Add model 2023-11-08-bert_finetuned_ner_chinese_people_daily_en * Add model 2023-11-08-tamil_ner_model_en * Add model 2023-11-08-autotrain_re_syn_cleanedtext_bert_55272128958_en * Add model 2023-11-08-bert_finetuned_sst2_en * Add model 2023-11-08-bert_base_multilingual_cased_finetuned_ner_mayagalvez_xx * Add model 2023-11-08-greek_legal_bert_v2_finetuned_ner_v3_en * Add model 2023-11-08-assignment2_attempt10_en * Add model 2023-11-08-bert_finetuned_ner_suraj_yadav_en * Add model 2023-11-08-bert_finetuned_ner_tw5n14_en * Add model 2023-11-08-shingazidja_sayula_popoluca_en * Add model 2023-11-08-archaeobert_ner_en * Add model 2023-11-08-postagger_south_azerbaijani_az * Add model 2023-11-08-bert_portuguese_event_trigger_en * Add model 2023-11-08-bert_finetuned_ner_erickrribeiro_en * Add model 2023-11-08-ner_resume_en * Add model 2023-11-08-bert_finetuned_ner_roverandom95_en * Add model 2023-11-08-vietnamese_ner_v1_4_0a2_en * Add model 2023-11-08-scibert_scivocab_uncased_finetuned_ner_sschet_en * Add model 2023-11-08-bert_small_finetuned_wnut17_ner_en * Add model 2023-11-08-clinicalnerpt_quantitative_pt * Add model 2023-11-08-bert_finetuned_ner_mie_zhz_en * Add model 2023-11-08-bert_multilingual_finetuned_history_ner_sub_ontology_xx * Add model 2023-11-08-bert_finetuned_ner_accelerate_atajti_en * Add model 2023-11-08-porttagger_news_base_en * Add model 2023-11-08-klue_bert_base_ner_kluedata_en * Add model 2023-11-08-darija_ner_ar * Add model 2023-11-08-bert_for_job_descr_parsing_en * Add model 2023-11-08-rubert_tiny2_finetuned_ner_en * Add model 2023-11-08-assignment2_attempt11_en * Add model 2023-11-08-political_entity_recognizer_en * Add model 2023-11-08-adres_ner_v2_bert_128k_tr * Add model 2023-11-08-nyt_ingredient_tagger_gte_small_l3_ingredient_v2_en * Add model 2023-11-08-bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner_en * Add model 2023-11-08-bert4ner_base_uncased_en * Add model 2023-11-08-biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope_en * Add model 2023-11-08-jobbert_en * Add model 2023-11-08-bert_finetuned_ner_accelerate_loganathanspr_en * Add model 2023-11-08-11_711_project_2_en * Add model 2023-11-08-tagged_one_100v7_ner_model_3epochs_augmented_en * Add model 2023-11-08-bert_german_ner_en * Add model 2023-11-08-multibertbestmodeloct11_en * Add model 2023-11-08-v4_combined_ner_en --------- Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
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diff --git a/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_chemical_en.md b/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_chemical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_chemical BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_chemical
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_chemical` is a English model originally trained by pruas.
+
+{:.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/bent_pubmedbert_ner_chemical_en_5.2.0_3.0_1699314054977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_chemical_en_5.2.0_3.0_1699314054977.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("documents")
+
+
+tokenClassifier = BertForTokenClassification.pretrained("bent_pubmedbert_ner_chemical","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("ner")
+
+pipeline = Pipeline().setStages([documentAssembler, tokenClassifier])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val documentAssembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val tokenClassifier = BertForTokenClassification  
+    .pretrained("bent_pubmedbert_ner_chemical", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("ner") 
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenClassifier))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_chemical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Chemical
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_disease_en.md b/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_disease BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_disease
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_disease` is a English model originally trained by pruas.
+
+{:.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/bent_pubmedbert_ner_disease_en_5.2.0_3.0_1699314054888.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_disease_en_5.2.0_3.0_1699314054888.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("documents")
+
+
+tokenClassifier = BertForTokenClassification.pretrained("bent_pubmedbert_ner_disease","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("ner")
+
+pipeline = Pipeline().setStages([documentAssembler, tokenClassifier])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val documentAssembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val tokenClassifier = BertForTokenClassification  
+    .pretrained("bent_pubmedbert_ner_disease", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("ner") 
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenClassifier))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Disease
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_gene_en.md b/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_gene_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_gene BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_gene
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_gene` is a English model originally trained by pruas.
+
+{:.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/bent_pubmedbert_ner_gene_en_5.2.0_3.0_1699304365196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_gene_en_5.2.0_3.0_1699304365196.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("documents")
+
+
+tokenClassifier = BertForTokenClassification.pretrained("bent_pubmedbert_ner_gene","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("ner")
+
+pipeline = Pipeline().setStages([documentAssembler, tokenClassifier])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val documentAssembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val tokenClassifier = BertForTokenClassification  
+    .pretrained("bent_pubmedbert_ner_gene", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("ner") 
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenClassifier))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_gene|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Gene
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_addresses_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_addresses_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_addresses BertForTokenClassification from ctrlbuzz
+author: John Snow Labs
+name: bert_addresses
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+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_addresses` is a English model originally trained by ctrlbuzz.
+
+{:.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/bert_addresses_en_5.2.0_3.0_1699304551042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_addresses_en_5.2.0_3.0_1699304551042.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("documents")
+
+
+tokenClassifier = BertForTokenClassification.pretrained("bert_addresses","en") \
+            .setInputCols(["documents","token"]) \
+            .setOutputCol("ner")
+
+pipeline = Pipeline().setStages([documentAssembler, tokenClassifier])
+
+pipelineModel = pipeline.fit(data)
+
+pipelineDF = pipelineModel.transform(data)
+
+```
+```scala
+
+
+val documentAssembler = new DocumentAssembler()
+    .setInputCol("text") 
+    .setOutputCol("embeddings")
+
+val tokenClassifier = BertForTokenClassification  
+    .pretrained("bert_addresses", "en")
+    .setInputCols(Array("documents","token")) 
+    .setOutputCol("ner") 
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenClassifier))
+
+val pipelineModel = pipeline.fit(data)
+
+val pipelineDF = pipelineModel.transform(data)
+
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_addresses|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/ctrlbuzz/bert-addresses