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  • John Snow Labs
  • Sep 08, 2024

Multilingual scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d_pipeline pipeline XlmRoBertaForSequenceClassification from haryoaw

  • xx
  • open_source
  • pipeline
  • onnx

Description

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

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How to use


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



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

Model Information

Model Name: scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: xx
Size: 836.5 MB

References

https://huggingface.co/haryoaw/scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_d

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForSequenceClassification