English question_answering_qa_may_tablang_pipeline pipeline BertForQuestionAnswering from nathantablang

Description

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

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How to use


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


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

Model Information

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

References

https://huggingface.co/nathantablang/question-answering-qa-may-tablang

Included Models

  • MultiDocumentAssembler
  • BertForQuestionAnswering