Description
Pretrained CamemBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.esgi_vchhauv_nlp_pipeline is a English model originally trained by Snoirak.
How to use
pipeline = PretrainedPipeline("esgi_vchhauv_nlp_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("esgi_vchhauv_nlp_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | esgi_vchhauv_nlp_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 273.6 MB |
References
https://huggingface.co/Snoirak/esgi-vchhauv-nlp
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertForTokenClassification