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  • John Snow Labs
  • Feb 03, 2025

English bert_large_2_m_qa_model_chetna2022_pipeline pipeline BertForQuestionAnswering from chetna2022

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_large_2_m_qa_model_chetna2022_pipeline is a English model originally trained by chetna2022.

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How to use


pipeline = PretrainedPipeline("bert_large_2_m_qa_model_chetna2022_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("bert_large_2_m_qa_model_chetna2022_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: bert_large_2_m_qa_model_chetna2022_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 1.3 GB

References

https://huggingface.co/chetna2022/bert_large_2_m_qa_model

Included Models

  • MultiDocumentAssembler
  • BertForQuestionAnswering