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  • John Snow Labs
  • May 21, 2025

Multilingual xlm_roberta_large_qa_multilingual_finedtuned_russian_pipeline pipeline XlmRoBertaForQuestionAnswering from AlexKay

  • xx
  • open_source
  • pipeline
  • onnx

Description

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

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How to use


pipeline = PretrainedPipeline("xlm_roberta_large_qa_multilingual_finedtuned_russian_pipeline", lang = "xx")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("xlm_roberta_large_qa_multilingual_finedtuned_russian_pipeline", lang = "xx")
val annotations = pipeline.transform(df)

Model Information

Model Name: xlm_roberta_large_qa_multilingual_finedtuned_russian_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: xx
Size: 1.9 GB

References

https://huggingface.co/AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru

Included Models

  • MultiDocumentAssembler
  • XlmRoBertaForQuestionAnswering