Description
Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bsc_bio_ehr_spanish_carmen_farmaco_pipeline is a Castilian, Spanish model originally trained by BSC-NLP4BIA.
How to use
pipeline = PretrainedPipeline("bsc_bio_ehr_spanish_carmen_farmaco_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_carmen_farmaco_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bsc_bio_ehr_spanish_carmen_farmaco_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 438.2 MB |
References
https://huggingface.co/BSC-NLP4BIA/bsc-bio-ehr-es-carmen-farmaco
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForTokenClassification