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.
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