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  • John Snow Labs
  • Dec 15, 2024

English gqa_bert_legal_squad_complete_augmented_1000_pipeline pipeline BertForQuestionAnswering from farid1088

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gqa_bert_legal_squad_complete_augmented_1000_pipeline is a English model originally trained by farid1088.

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How to use


pipeline = PretrainedPipeline("gqa_bert_legal_squad_complete_augmented_1000_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("gqa_bert_legal_squad_complete_augmented_1000_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: gqa_bert_legal_squad_complete_augmented_1000_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 406.9 MB

References

https://huggingface.co/farid1088/GQA_BERT_legal_SQuAD_complete_augmented_1000

Included Models

  • MultiDocumentAssembler
  • BertForQuestionAnswering