Description
Pretrained DeBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.microsoft_deberta_v3_large_ner_wnut_17_pipeline is a English model originally trained by Gladiator.
How to use
pipeline = PretrainedPipeline("microsoft_deberta_v3_large_ner_wnut_17_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("microsoft_deberta_v3_large_ner_wnut_17_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | microsoft_deberta_v3_large_ner_wnut_17_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.5 GB |
References
https://huggingface.co/Gladiator/microsoft-deberta-v3-large_ner_wnut_17
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForTokenClassification