Description
Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bsc_bio_ehr_spanish_meddocan_bsc_nlp4bia_pipeline
is a Castilian, Spanish model originally trained by BSC-NLP4BIA.
How to use
pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_meddocan_bsc_nlp4bia_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_meddocan_bsc_nlp4bia_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
Model Name: | bsc_bio_ehr_spanish_meddocan_bsc_nlp4bia_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | es |
Size: | 444.4 MB |
References
https://huggingface.co/BSC-NLP4BIA/bsc-bio-ehr-es-meddocan
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForTokenClassification