2023-11-08-scibert_finetuned_ner_fl_en (#14058)

* Add model 2023-11-08-scibert_finetuned_ner_fl_en * Add model 2023-11-08-real_estate_financial_ner_en * Add model 2023-11-08-bertfortokenclassification_en * Add model 2023-11-08-bert_restore_punctuation_turkish_legacy_tr * Add model 2023-11-08-aldi_token_di_en * Add model 2023-11-08-fp_ner_en * Add model 2023-11-08-elastic_bert_chinese_ner_en * Add model 2023-11-08-biobert_finetuned_pico_en * Add model 2023-11-08-bert_base_ner_theseus_bulgarian_bg * Add model 2023-11-08-rust_bert_base_ner_en * Add model 2023-11-08-bert_finetuned_ner_v2_sayalik13_en * Add model 2023-11-08-bert_finetuned_ner_aiventurer_en * Add model 2023-11-08-swiss_german_sayula_popoluca_model_en * Add model 2023-11-08-bert_finetuned_ner_ontonotes_en * Add model 2023-11-08-bert_base_uncased_finetuned_ner_arbert_en * Add model 2023-11-08-bert_finetuned_ner_xiajun2001_en * Add model 2023-11-08-bert_base_cased_ner_conll2003_finetuned_ner_en * Add model 2023-11-08-mbert_bengali_ner_finetuned_ner_en * Add model 2023-11-08-bert_finetuned_ner_chunfengw_en * Add model 2023-11-08-rubert_base_lesha17_punctuation_en * Add model 2023-11-08-bert_based_multilingual_cased_finetuned_lid_xx * Add model 2023-11-08-sayula_popoluca_ner_tagging_en * Add model 2023-11-08-bert_base_chinese_finetuned_ner_agdsga_en * Add model 2023-11-08-archeological_ner_english_en * Add model 2023-11-08-fairness_lab_hana_ner_en * Add model 2023-11-08-bert_multilingual_finetuned_xtreme_tamil_ner_xx * Add model 2023-11-08-bert_finetuned_ner_mpalaval_en * Add model 2023-11-08-teste_tcc_en * Add model 2023-11-08-products_ner_en * Add model 2023-11-08-bert_ner_2_en * Add model 2023-11-08-bert_tiny_finetuned_finer_accelerate_longer_en * Add model 2023-11-08-nerkor_hubert_hu * Add model 2023-11-08-bert_finetuned_ner_yitengm_en * Add model 2023-11-08-autotrain_ner_8_86129142996_en * Add model 2023-11-08-bert_finetuned_ner_loganathanspr_en * Add model 2023-11-08-finance_ner_v0_0_8_finetuned_ner_en * Add model 2023-11-08-bert_base_uncased_finetuned_ner_kmeans_en * Add model 2023-11-08-estbert_estonian_subtitles_token_classification_et * Add model 2023-11-08-bert_base_german_finetuned_ler_de * Add model 2023-11-08-bert_finetuned_ner_augment_3_en * Add model 2023-11-08-hana_unbias_ner_classifier_en * Add model 2023-11-08-bert_finetuned_ner_canliu_en * Add model 2023-11-08-bert_finetuned_ner_clarechen101_en * Add model 2023-11-08-bioformer_8l_bc2gm_en * Add model 2023-11-08-ner_old_en * Add model 2023-11-08-ner_gdpr_en * Add model 2023-11-08-bert_finetuned_ner_shadowtwin41_en * Add model 2023-11-08-biobertpt_all_finetuned_ner_en * Add model 2023-11-08-bert_finetuned_ner_ishantja_en * Add model 2023-11-08-bulbert_ner_udep_5epochs_en * Add model 2023-11-08-biobert_base_cased_v1_2_finetuned_ner_sciarrilli_en * Add model 2023-11-08-bert_finetuned_ner_joaomonteiro_en * Add model 2023-11-08-bert_base_tweetner7_2021_en * Add model 2023-11-08-drone_term_extractor_en * Add model 2023-11-08-specific_bengali_language_token_classification_model_en * Add model 2023-11-08-finance_ner_v0_0_1_finetuned_ner_en * Add model 2023-11-08-bert_finetuned_ner_andersonjas_en * Add model 2023-11-08-bert_base_uncased_brands_en * Add model 2023-11-08-swiss_german_stts_sayula_popoluca_model_en * Add model 2023-11-08-bert_finetuned_requirements_andyuk_en * Add model 2023-11-08-bert_finetuned_ner_jmoraes_en * Add model 2023-11-08-scibert_finetuned_ner_v1_en * Add model 2023-11-08-bert_finetuned_food_en * Add model 2023-11-08-droner_en * Add model 2023-11-08-burmese_awesome_wnut_model_bahador0101_en * Add model 2023-11-08-wobert_bio_en * Add model 2023-11-08-bert_tiny_finetuned_finer_accelerate_gpu_en * Add model 2023-11-08-arabert_finetuned_caner_en * Add model 2023-11-08-bert_finetuned_ner_xinhui_en * Add model 2023-11-08-bert_base_cased_finetuned_ner_intpc_en * Add model 2023-11-08-bert_finetuned_ner_mmibrahim2006_en * Add model 2023-11-08-dark_bert_finetuned_ner1_en * Add model 2023-11-08-beto_finetuned_fact_es * Add model 2023-11-08-specific_arabic_language_token_classification_model_en * Add model 2023-11-08-toxicbert_params_en * Add model 2023-11-08-name_anonymization_akoksal_tr * Add model 2023-11-08-bert_finetuned_ner_rajknakka_en * Add model 2023-11-08-marischal_college_hmbert_en * Add model 2023-11-08-negation_bert_en * Add model 2023-11-08-uner_muril_ner_en * Add model 2023-11-08-bert_finetuned_ner_sanjay7178_en * Add model 2023-11-08-kr_finbert_finetuned_ner_en * Add model 2023-11-08-sec_bert_base_finetuned_ner_en * Add model 2023-11-08-bert_finetuned_ner_heek_en * Add model 2023-11-08-porttagger_tweets_base_en * Add model 2023-11-08-bert_finetuned_ner_tofunumber1_en * Add model 2023-11-08-bert_tamil_ta * Add model 2023-11-08-bert_finetuned_ner_abx_en * Add model 2023-11-08-bert_base_bangla_ner_en * Add model 2023-11-08-bert_finetuned_ner_trainer_en * Add model 2023-11-08-bert_finetuned_ner_marcuslee_en * Add model 2023-11-08-expanded_multilingual_ner_xx * Add model 2023-11-08-scideberta_ser_en * Add model 2023-11-08-bert_finetuned_ner_averageandyyy_en * Add model 2023-11-08-bert_finetuned_ner_dxiao_en * Add model 2023-11-08-biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi_en * Add model 2023-11-08-greek_legal_bert_v2_finetuned_ner_en * Add model 2023-11-08-bert_finetuned_ner_torayeff_en * Add model 2023-11-08-bert_finetuned_ner_nourhanabosaeed_en * Add model 2023-11-08-bert_finetuned_ner_abkbvknv_en * Add model 2023-11-08-bert_ner_3_en * Add model 2023-11-08-bert_finetuned_ner_xupengzeng_en * Add model 2023-11-08-bert_finetuned_bpmn_jtlicardo_en * Add model 2023-11-08-bert_bulgarian_ner_bg * Add model 2023-11-08-bert_cased_keyword_discriminator_en * Add model 2023-11-08-bert_finetuned_ner_accelerate_schubertcarvalho_en * Add model 2023-11-08-bert_finetuned_ner_test1_en * Add model 2023-11-08-ner_dependency_dutch_official_11_en * Add model 2023-11-08-bert_dbmdz_3760_split_by_sentence_en * Add model 2023-11-08-bert_finetuned_ner_johnyyhk_en * Add model 2023-11-08-bert_finetuned_ner_phamvanlinh143_en * Add model 2023-11-08-bert_finetuned_ner_gabrielzang_en * Add model 2023-11-08-bert_base_vietnamese_ud_goeswith_vi * Add model 2023-11-08-bert_finetuned_ner_augment_5_en * Add model 2023-11-08-scientific_paper_bert_fine_tuned_new_en * Add model 2023-11-08-idrisi_lmr_ar_random_typebased_en * Add model 2023-11-08-bert_finetuned_ner_jake777_en * Add model 2023-11-08-phibert_finetuned_ner_nepal_bhasa_1_en * Add model 2023-11-08-bert_finetuned_ner_miguelangelocwb_en * Add model 2023-11-08-bert_finetuned_ner_carmeco_en * Add model 2023-11-08-bert_finetuned_ner_ocm_en * Add model 2023-11-08-bert_finetuned_ner_adeep028_en * Add model 2023-11-08-bert_finetuned_ner_jperezv_en * Add model 2023-11-08-bert_finetuned_ner_azuresonance_en * Add model 2023-11-08-turkish_ner_model_en * Add model 2023-11-08-bert_tiny_finetuned_finer_longer_en * Add model 2023-11-08-bert_finetuned_ner_cleandata_en * Add model 2023-11-08-scibert_finetuned_ner_siddharthtumre_en * Add model 2023-11-08-bert_finetuned_ner_trainerapi_en * Add model 2023-11-08-bert_base_multilingual_cased_finetuned_conll03_dutch_xx * Add model 2023-11-08-bert_finetuned_ner_yuto01_en * Add model 2023-11-09-bert_finetuned_ner_viktordo_en * Add model 2023-11-09-marathi_ner_iob_mr * Add model 2023-11-09-primary_outcome_extraction_en * Add model 2023-11-09-english_bertsemtagger_gold_en * Add model 2023-11-09-bert_finetuned_ner_atajti_en * Add model 2023-11-09-rubert_tiny2_srl_en * Add model 2023-11-09-bert_finetuned_ner_lyk0013_en * Add model 2023-11-09-bert_finetuned_ner_alokps_en * Add model 2023-11-09-jobbert_skill_en * Add model 2023-11-09-bert_finetuned_ner_sdinger_en * Add model 2023-11-09-bert_finetuned_ner_fengi_en * Add model 2023-11-09-cause_effect_detection_persian_en * Add model 2023-11-09-bert_base_chinese_wikiann_chinese_ner_nepal_bhasa_en * Add model 2023-11-09-bert_base_cased_conll2003_samoan_all_ner_en * Add model 2023-11-09-bert_finetuned_ner_alphasaber_en * Add model 2023-11-09-bert_base_dutch_cased_finetuned_ner_en * Add model 2023-11-09-software_benchmark_bio_en * Add model 2023-11-09-hebert_medical_ner_non_pii_en * Add model 2023-11-09-bert_finetuned_ner_thientran_en * Add model 2023-11-09-bert_finetuned_ner_fatmazahraz_en * Add model 2023-11-09-bert_base_uncased_finetuned_recruitment_exp_en * Add model 2023-11-09-ner_conditional_dutch_official_11_en * Add model 2023-11-09-bert_cased_ner_fcit499_en * Add model 2023-11-09-bert_finetuned_ner_petros89_en * Add model 2023-11-09-entity_extraction_en * Add model 2023-11-09-bert_finetuned_ner_bpatwa_shi_en * Add model 2023-11-09-bert_finetuned_ner_bbbbearczx_en * Add model 2023-11-09-bert_finetuned_ner_v2_vbhasin_en * Add model 2023-11-09-bert_finetuned_ner_chonlam_en * Add model 2023-11-09-bert_finetuned_ner_the_bee_en * Add model 2023-11-09-novels_ner_model_pl * Add model 2023-11-09-bert_finetuned_ner_daethyra_en * Add model 2023-11-09-bert_base_spanish_wwm_cased_finetuned_sayula_popoluca_en * Add model 2023-11-09-bert_finetuned_ner_jfarmerphd_en * Add model 2023-11-09-burmese_xlm_roberta_large_finetuned_conlljob01_en * Add model 2023-11-09-indobert_model_ner_en * Add model 2023-11-09-bert_finetuned_ner_manoharahuggingface_en * Add model 2023-11-09-scibert_allen_case_v3_en * Add model 2023-11-09-bert_finetuned_ner_carlomax_en * Add model 2023-11-09-nominal_groups_recognition_medical_disease_beto_cmm_competencia2_beto_prescripciones_medicas_es * Add model 2023-11-09-beto_sentiment_analysis_finetuned_ner_en * Add model 2023-11-09-bert_finetuned_ner_jimbung_en * Add model 2023-11-09-lewit_informal_tagger_en * Add model 2023-11-09-bert_base_uncased_finetuned_math_punctuation_ignore_word_parts_en * Add model 2023-11-09-bert_finetuned_ner_cindymc_en * Add model 2023-11-09-finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100_en * Add model 2023-11-09-bert_finetuned_ner_alvin0220_en * Add model 2023-11-09-nyt_ingredient_tagger_paraphrase_minilm_l3_v2_en * Add model 2023-11-09-berttest2_classtest_en * Add model 2023-11-09-bert_finetuned_ner_mholi_en * Add model 2023-11-09-downstream_german_bert_en * Add model 2023-11-09-fin3_en * Add model 2023-11-09-assignment2_attempt12_en * Add model 2023-11-09-bert_base_cased_conll2003_samoan_first_ner_en * Add model 2023-11-09-ner_natfike_en * Add model 2023-11-09-bert_finetuned_ner_boaii_en * Add model 2023-11-09-ckiplab_bert_chinese_david_ner_en * Add model 2023-11-09-bert_finetuned_ner_aimarsg_en * Add model 2023-11-09-bert_finetuned_ner_cptbaas_en * Add model 2023-11-09-ner_bert_base_multilingual_uncased_xx * Add model 2023-11-09-bert_base_cased_ner_trained_on_synthea_en * Add model 2023-11-09-chinese_macbert_base_finetuned_ner_en * Add model 2023-11-09-bert_base_cased_finetuned_ner_guitap_en * Add model 2023-11-09-bert_finetuned_ner_abhishekverma_en * Add model 2023-11-09-bert_base_portuguese_cased_finetuned_ner_en * Add model 2023-11-09-gene_finetuned_en * Add model 2023-11-09-medicare_ner_en * Add model 2023-11-09-bert_finetuned_ner_shamweel_en * Add model 2023-11-09-bert_finetuned_ner_krolis_en * Add model 2023-11-09-n2c2_container_bert_10ep_en * Add model 2023-11-09-bert_finetuned_ner_ish97_en * Add model 2023-11-09-bert_finetuned_ner_hatman_en * Add model 2023-11-09-bert_finetuned_requirements_rodp_en * Add model 2023-11-09-bert_base_german_cased_noisy_pretrain_fine_tuned_v2_en * Add model 2023-11-09-bertimbau_base_lener_breton_finetuned_lener_breton_pt * Add model 2023-11-09-bert_finetuned_ner_amartyobanerjee_en * Add model 2023-11-09-biobert_finetuned_ner_conll2003_en * Add model 2023-11-09-bert_base_uncased_finetuned_material_synthesis_en * Add model 2023-11-09-vietnamese_feedback_model_1_1_0_en * Add model 2023-11-09-ote_domianadaption_absa_marbert2_hard_run1_en * Add model 2023-11-09-article_50v0_ner_model_3epochs_en * Add model 2023-11-09-bert_finetuned_ner_steven_qi_zhao_en * Add model 2023-11-09-bert_finetuned_ner_yixi_en * Add model 2023-11-09-german_bert_finetuned_ner_en * Add model 2023-11-09-burmese_ner_model1_2_split_by_sentence_en * Add model 2023-11-09-test_nerv2_en * Add model 2023-11-09-porttagger_oilgas_base_en * Add model 2023-11-09-me_lid_bert_mr * Add model 2023-11-09-german_medbert_birads_ner100_de --------- Co-authored-by: ahmedlone127 <ahmedlone127@gmail.com>
JohnSnowLabs · Nov 10, 2023 · ca7234a · ca7234a
1 parent ab94420
commit ca7234a
Show file tree

Hide file tree

Showing 220 changed files with 20,460 additions and 0 deletions.
diff --git a/docs/_posts/ahmedlone127/2023-11-08-aldi_token_di_en.md b/docs/_posts/ahmedlone127/2023-11-08-aldi_token_di_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English aldi_token_di BertForTokenClassification from AMR-KELEG
+author: John Snow Labs
+name: aldi_token_di
+date: 2023-11-08
+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.`aldi_token_di` is a English model originally trained by AMR-KELEG.
+
+{:.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/aldi_token_di_en_5.2.0_3.0_1699435695095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aldi_token_di_en_5.2.0_3.0_1699435695095.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("aldi_token_di","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("aldi_token_di", "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:|aldi_token_di|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/AMR-KELEG/ALDi-Token-DI
diff --git a/docs/_posts/ahmedlone127/2023-11-08-arabert_finetuned_caner_en.md b/docs/_posts/ahmedlone127/2023-11-08-arabert_finetuned_caner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English arabert_finetuned_caner BertForTokenClassification from Montazer
+author: John Snow Labs
+name: arabert_finetuned_caner
+date: 2023-11-08
+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.`arabert_finetuned_caner` is a English model originally trained by Montazer.
+
+{:.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/arabert_finetuned_caner_en_5.2.0_3.0_1699464760507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_finetuned_caner_en_5.2.0_3.0_1699464760507.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("arabert_finetuned_caner","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("arabert_finetuned_caner", "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:|arabert_finetuned_caner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.2 MB|
+
+## References
+
+https://huggingface.co/Montazer/arabert-finetuned-caner
diff --git a/docs/_posts/ahmedlone127/2023-11-08-archeological_ner_english_en.md b/docs/_posts/ahmedlone127/2023-11-08-archeological_ner_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English archeological_ner_english BertForTokenClassification from nicolauduran45
+author: John Snow Labs
+name: archeological_ner_english
+date: 2023-11-08
+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.`archeological_ner_english` is a English model originally trained by nicolauduran45.
+
+{:.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/archeological_ner_english_en_5.2.0_3.0_1699444479821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/archeological_ner_english_en_5.2.0_3.0_1699444479821.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("archeological_ner_english","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("archeological_ner_english", "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:|archeological_ner_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/nicolauduran45/archeological_ner_en
diff --git a/docs/_posts/ahmedlone127/2023-11-08-autotrain_ner_8_86129142996_en.md b/docs/_posts/ahmedlone127/2023-11-08-autotrain_ner_8_86129142996_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English autotrain_ner_8_86129142996 BertForTokenClassification from smirki
+author: John Snow Labs
+name: autotrain_ner_8_86129142996
+date: 2023-11-08
+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.`autotrain_ner_8_86129142996` is a English model originally trained by smirki.
+
+{:.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/autotrain_ner_8_86129142996_en_5.2.0_3.0_1699448171608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_ner_8_86129142996_en_5.2.0_3.0_1699448171608.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("autotrain_ner_8_86129142996","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("autotrain_ner_8_86129142996", "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:|autotrain_ner_8_86129142996|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/smirki/autotrain-ner-8-86129142996