Description
Pretrained CamemBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.nermembert_base_3entities_pipeline is a French model originally trained by CATIE-AQ.
How to use
pipeline = PretrainedPipeline("nermembert_base_3entities_pipeline", lang = "fr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("nermembert_base_3entities_pipeline", lang = "fr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | nermembert_base_3entities_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fr |
| Size: | 412.1 MB |
References
https://huggingface.co/CATIE-AQ/NERmembert-base-3entities
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertForTokenClassification