English xlmr_quoref_webis_pipeline pipeline XlmRoBertaForQuestionAnswering from intanm

Description

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

Download Copy S3 URI

How to use


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


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

Model Information

Model Name: xlmr_quoref_webis_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: en
Size: 834.2 MB

References

https://huggingface.co/intanm/xlmr-quoref-webis

Included Models

  • MultiDocumentAssembler
  • XlmRoBertaForQuestionAnswering