Description
Pretrained CamemBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ner_mots_interdits_sante_militaire_distilcamembert_pipeline is a English model originally trained by Steve77.
How to use
pipeline = PretrainedPipeline("ner_mots_interdits_sante_militaire_distilcamembert_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ner_mots_interdits_sante_militaire_distilcamembert_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ner_mots_interdits_sante_militaire_distilcamembert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 253.6 MB |
References
https://huggingface.co/Steve77/ner-mots_interdits-sante_militaire-distilcamembert
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertForTokenClassification