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  • John Snow Labs
  • Sep 07, 2024

English qa_synthetic_data_with_real_data_finetuned_v2_0_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_synthetic_data_with_real_data_finetuned_v2_0_pipeline is a English model originally trained by am-infoweb.

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How to use


pipeline = PretrainedPipeline("qa_synthetic_data_with_real_data_finetuned_v2_0_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("qa_synthetic_data_with_real_data_finetuned_v2_0_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: qa_synthetic_data_with_real_data_finetuned_v2_0_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 851.8 MB

References

https://huggingface.co/am-infoweb/QA_SYNTHETIC_DATA_with_real_Data_Finetuned_v2.0

Included Models

  • MultiDocumentAssembler
  • XlmRoBertaForQuestionAnswering