Description
Pretrained DeBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rured2_ner_mdeberta_v3_base_pipeline is a Russian model originally trained by Grpp.
How to use
pipeline = PretrainedPipeline("rured2_ner_mdeberta_v3_base_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rured2_ner_mdeberta_v3_base_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | rured2_ner_mdeberta_v3_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 823.5 MB |
References
https://huggingface.co/Grpp/rured2-ner-mdeberta-v3-base
Included Models
- DocumentAssembler
- TokenizerModel
- DeBertaForTokenClassification