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  • John Snow Labs
  • Sep 01, 2024

Multilingual xlm_roberta_base_language_detection_silvanus_pipeline pipeline XlmRoBertaForSequenceClassification from rollerhafeezh-amikom

  • xx
  • open_source
  • pipeline
  • onnx

Description

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

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How to use


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



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

Model Information

Model Name: xlm_roberta_base_language_detection_silvanus_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: xx
Size: 882.4 MB

References

https://huggingface.co/rollerhafeezh-amikom/xlm-roberta-base-language-detection-silvanus

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForSequenceClassification