Edit on GitHub
  • John Snow Labs
  • Sep 03, 2024

Multilingual multilingual_e5_base_ling_cls_pipeline pipeline XlmRoBertaForSequenceClassification from CeroShrijver

  • xx
  • open_source
  • pipeline
  • onnx

Description

Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multilingual_e5_base_ling_cls_pipeline is a Multilingual model originally trained by CeroShrijver.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("multilingual_e5_base_ling_cls_pipeline", lang = "xx")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("multilingual_e5_base_ling_cls_pipeline", lang = "xx")
val annotations = pipeline.transform(df)

Model Information

Model Name: multilingual_e5_base_ling_cls_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: xx
Size: 841.9 MB

References

https://huggingface.co/CeroShrijver/multilingual-e5-base-ling-cls

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForSequenceClassification