Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.drbert_casm2_pipeline is a French model originally trained by medkit.
How to use
pipeline = PretrainedPipeline("drbert_casm2_pipeline", lang = "fr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("drbert_casm2_pipeline", lang = "fr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | drbert_casm2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fr |
| Size: | 408.2 MB |
References
https://huggingface.co/medkit/DrBERT-CASM2
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification