Description
Pretrained DeBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.deberta_med_22feb_pipeline is a English model originally trained by codeaze.
How to use
pipeline = PretrainedPipeline("deberta_med_22feb_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("deberta_med_22feb_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | deberta_med_22feb_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.6 GB |
References
https://huggingface.co/codeaze/deberta_med_22feb
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForTokenClassification