English autotrain_tes2_pipeline pipeline RoBertaForSequenceClassification from vuk123

Description

Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_tes2_pipeline is a English model originally trained by vuk123.

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How to use


pipeline = PretrainedPipeline("autotrain_tes2_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("autotrain_tes2_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: autotrain_tes2_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 418.8 MB

References

https://huggingface.co/vuk123/autotrain-tes2

Included Models

  • DocumentAssembler
  • TokenizerModel
  • RoBertaForSequenceClassification