None indicbertv2_mlm_sam_tlm_ner_pipeline pipeline BertForTokenClassification from livinNector

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.indicbertv2_mlm_sam_tlm_ner_pipeline is a None model originally trained by livinNector.

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How to use


pipeline = PretrainedPipeline("indicbertv2_mlm_sam_tlm_ner_pipeline", lang = "nan")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("indicbertv2_mlm_sam_tlm_ner_pipeline", lang = "nan")
val annotations = pipeline.transform(df)

Model Information

Model Name: indicbertv2_mlm_sam_tlm_ner_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: nan
Size: 1.0 GB

References

https://huggingface.co/livinNector/IndicBERTv2-MLM-Sam-TLM-NER

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification