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  • John Snow Labs
  • Sep 01, 2024

Multilingual xlmroberta_classifier_large_english_russian_mnli_pipeline pipeline XlmRoBertaForSequenceClassification from DeepPavlov

  • xx
  • open_source
  • pipeline
  • onnx

Description

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

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How to use


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



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

Model Information

Model Name: xlmroberta_classifier_large_english_russian_mnli_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: xx
Size: 1.3 GB

References

https://huggingface.co/DeepPavlov/xlm-roberta-large-en-ru-mnli

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForSequenceClassification