Description
Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ner_gec_roberta_v3_pipeline is a English model originally trained by fursov.
How to use
pipeline = PretrainedPipeline("ner_gec_roberta_v3_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ner_gec_roberta_v3_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ner_gec_roberta_v3_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 439.1 MB |
References
https://huggingface.co/fursov/ner-gec-roberta-v3
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForTokenClassification