Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.monolingual_hindi_ner_model_pipeline is a Hindi model originally trained by Sankalp-Bahad.
How to use
pipeline = PretrainedPipeline("monolingual_hindi_ner_model_pipeline", lang = "hi")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("monolingual_hindi_ner_model_pipeline", lang = "hi")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | monolingual_hindi_ner_model_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | hi |
| Size: | 777.8 MB |
References
https://huggingface.co/Sankalp-Bahad/Monolingual-Hindi-NER-Model
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification