English das_rest2cam_pipeline pipeline RoBertaEmbeddings from UIC-Liu-Lab

Description

Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.das_rest2cam_pipeline is a English model originally trained by UIC-Liu-Lab.

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How to use


pipeline = PretrainedPipeline("das_rest2cam_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("das_rest2cam_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: das_rest2cam_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 466.0 MB

References

https://huggingface.co/UIC-Liu-Lab/DAS-Rest2Cam

Included Models

  • DocumentAssembler
  • TokenizerModel
  • RoBertaEmbeddings