Description
Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.drug_ner_cat_v1_pipeline is a Catalan, Valencian model originally trained by BSC-NLP4BIA.
How to use
pipeline = PretrainedPipeline("drug_ner_cat_v1_pipeline", lang = "ca")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("drug_ner_cat_v1_pipeline", lang = "ca")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | drug_ner_cat_v1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ca |
| Size: | 436.0 MB |
References
https://huggingface.co/BSC-NLP4BIA/drug-ner-cat-v1
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForTokenClassification