English bert_scienceqa_v1_pipeline pipeline BertForQuestionAnswering from shreyas1104

Description

Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_scienceqa_v1_pipeline is a English model originally trained by shreyas1104.

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How to use


pipeline = PretrainedPipeline("bert_scienceqa_v1_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("bert_scienceqa_v1_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: bert_scienceqa_v1_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 407.2 MB

References

https://huggingface.co/shreyas1104/bert-scienceQA-v1

Included Models

  • MultiDocumentAssembler
  • BertForQuestionAnswering