Castilian, Spanish bsc_bio_ehr_spanish_ehealth_kd_pipeline pipeline RoBertaForTokenClassification from IIC

Description

Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bsc_bio_ehr_spanish_ehealth_kd_pipeline is a Castilian, Spanish model originally trained by IIC.

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How to use


pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_ehealth_kd_pipeline", lang = "es")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_ehealth_kd_pipeline", lang = "es")
val annotations = pipeline.transform(df)

Model Information

Model Name: bsc_bio_ehr_spanish_ehealth_kd_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: es
Size: 415.5 MB

References

https://huggingface.co/IIC/bsc-bio-ehr-es-ehealth_kd

Included Models

  • DocumentAssembler
  • TokenizerModel
  • RoBertaForTokenClassification