English xlm_roberta_base_finetuned_pquad_20ep_pipeline pipeline XlmRoBertaForQuestionAnswering from kianshokraneh

Description

Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_base_finetuned_pquad_20ep_pipeline is a English model originally trained by kianshokraneh.

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How to use


pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_pquad_20ep_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_pquad_20ep_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: xlm_roberta_base_finetuned_pquad_20ep_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 811.6 MB

References

https://huggingface.co/kianshokraneh/xlm-roberta-base-finetuned-pquad-20ep

Included Models

  • MultiDocumentAssembler
  • XlmRoBertaForQuestionAnswering