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  • John Snow Labs
  • Dec 15, 2024

Multilingual multilingual_minilmv2_l6_mnli_xnli_pipeline pipeline XlmRoBertaForZeroShotClassification from MoritzLaurer

  • xx
  • open_source
  • pipeline
  • onnx

Description

Pretrained XlmRoBertaForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multilingual_minilmv2_l6_mnli_xnli_pipeline is a Multilingual model originally trained by MoritzLaurer.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("multilingual_minilmv2_l6_mnli_xnli_pipeline", lang = "xx")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("multilingual_minilmv2_l6_mnli_xnli_pipeline", lang = "xx")
val annotations = pipeline.transform(df)

Model Information

Model Name: multilingual_minilmv2_l6_mnli_xnli_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: xx
Size: 257.7 MB

References

https://huggingface.co/MoritzLaurer/multilingual-MiniLMv2-L6-mnli-xnli

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForZeroShotClassification