Edit on GitHub
  • John Snow Labs
  • Sep 01, 2024

English qa_synthetic_data_only_finetuned_v1_1_pipeline pipeline XlmRoBertaForQuestionAnswering from prajwalJumde

  • 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_only_finetuned_v1_1_pipeline is a English model originally trained by prajwalJumde.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("qa_synthetic_data_only_finetuned_v1_1_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("qa_synthetic_data_only_finetuned_v1_1_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: qa_synthetic_data_only_finetuned_v1_1_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: en
Size: 805.0 MB

References

https://huggingface.co/prajwalJumde/QA_SYNTHETIC_DATA_ONLY_Finetuned_v1.1

Included Models

  • MultiDocumentAssembler
  • XlmRoBertaForQuestionAnswering