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  • John Snow Labs
  • Jan 25, 2025

English three_class_5e_5_hausa_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.three_class_5e_5_hausa_pipeline is a English model originally trained by grace-pro.

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How to use


pipeline = PretrainedPipeline("three_class_5e_5_hausa_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("three_class_5e_5_hausa_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: three_class_5e_5_hausa_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 1.0 GB

References

https://huggingface.co/grace-pro/three_class_5e-5_hausa

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForTokenClassification