Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.reduplication_repetition_xlmr_v2_pipeline
is a Hindi model originally trained by theArif.
How to use
pipeline = PretrainedPipeline("reduplication_repetition_xlmr_v2_pipeline", lang = "hi")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("reduplication_repetition_xlmr_v2_pipeline", lang = "hi")
val annotations = pipeline.transform(df)
Model Information
Model Name: | reduplication_repetition_xlmr_v2_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | hi |
Size: | 790.9 MB |
References
https://huggingface.co/theArif/reduplication-repetition-xlmr-v2
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification