Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.clinicalnerpt_procedure_pipeline is a Portuguese model originally trained by pucpr.
How to use
pipeline = PretrainedPipeline("clinicalnerpt_procedure_pipeline", lang = "pt")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("clinicalnerpt_procedure_pipeline", lang = "pt")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | clinicalnerpt_procedure_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | pt |
| Size: | 664.9 MB |
References
https://huggingface.co/pucpr/clinicalnerpt-procedure
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification