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  • John Snow Labs
  • Mar 28, 2025

English deid_mdeberta_v3_base_finetuned_v3_pipeline pipeline DeBertaForTokenClassification from Sheripov

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained DeBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.deid_mdeberta_v3_base_finetuned_v3_pipeline is a English model originally trained by Sheripov.

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How to use


pipeline = PretrainedPipeline("deid_mdeberta_v3_base_finetuned_v3_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("deid_mdeberta_v3_base_finetuned_v3_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: deid_mdeberta_v3_base_finetuned_v3_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 804.4 MB

References

https://huggingface.co/Sheripov/deid-mdeberta-v3-base-finetuned-v3

Included Models

  • DocumentAssembler
  • TokenizerModel
  • DeBertaForTokenClassification