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  • John Snow Labs
  • Sep 01, 2024

English qa_synth_data_with_unanswerable_05_sept_pipeline pipeline XlmRoBertaForQuestionAnswering from am-infoweb

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.qa_synth_data_with_unanswerable_05_sept_pipeline is a English model originally trained by am-infoweb.

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How to use


pipeline = PretrainedPipeline("qa_synth_data_with_unanswerable_05_sept_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("qa_synth_data_with_unanswerable_05_sept_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: qa_synth_data_with_unanswerable_05_sept_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: en
Size: 806.2 MB

References

https://huggingface.co/am-infoweb/QA_SYNTH_DATA_WITH_UNANSWERABLE_05_SEPT

Included Models

  • MultiDocumentAssembler
  • XlmRoBertaForQuestionAnswering