English multi_qa_mpnet_base_dot_v1_finetuned_squad2_all_pipeline pipeline MPNetForQuestionAnswering from haddadalwi

Description

Pretrained MPNetForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multi_qa_mpnet_base_dot_v1_finetuned_squad2_all_pipeline is a English model originally trained by haddadalwi.

Predicted Entities

Download Copy S3 URI

How to use

pipeline = PretrainedPipeline("multi_qa_mpnet_base_dot_v1_finetuned_squad2_all_pipeline", lang = "en")
annotations =  pipeline.transform(df)
val pipeline = new PretrainedPipeline("multi_qa_mpnet_base_dot_v1_finetuned_squad2_all_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: multi_qa_mpnet_base_dot_v1_finetuned_squad2_all_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 406.9 MB

References

References

https://huggingface.co/haddadalwi/multi-qa-mpnet-base-dot-v1-finetuned-squad2-all

Included Models

  • MultiDocumentAssembler
  • MPNetForQuestionAnswering