Multilingual distilberttourism_multilingual_sentiment_pipeline pipeline DistilBertForSequenceClassification from SCANSKY

Description

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

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How to use


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


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

Model Information

Model Name: distilberttourism_multilingual_sentiment_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: xx
Size: 507.6 MB

References

https://huggingface.co/SCANSKY/distilbertTourism-multilingual-sentiment

Included Models

  • DocumentAssembler
  • TokenizerModel
  • DistilBertForSequenceClassification