Description
Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.legal_camembert_base_pipeline is a French model originally trained by maastrichtlawtech.
How to use
pipeline = PretrainedPipeline("legal_camembert_base_pipeline", lang = "fr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("legal_camembert_base_pipeline", lang = "fr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | legal_camembert_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fr |
| Size: | 412.9 MB |
References
https://huggingface.co/maastrichtlawtech/legal-camembert-base
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertEmbeddings