English ner_medical_tm_pipeline pipeline BertForTokenClassification from etadevosyan

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ner_medical_tm_pipeline is a English model originally trained by etadevosyan.

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How to use


pipeline = PretrainedPipeline("ner_medical_tm_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("ner_medical_tm_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: ner_medical_tm_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 664.4 MB

References

https://huggingface.co/etadevosyan/ner_medical_tm

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification