English xlmr_tokenclassification_pipeline pipeline XlmRoBertaForTokenClassification from abhishekkuber

Description

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

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How to use


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


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

Model Information

Model Name: xlmr_tokenclassification_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 803.0 MB

References

https://huggingface.co/abhishekkuber/xlmr_tokenclassification

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForTokenClassification