Multilingual multilingual_sentiment_analysis_pipeline pipeline DistilBertForSequenceClassification from tabularisai

Description

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

Predicted Entities

Download Copy S3 URI

How to use

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

Model Information

Model Name: multilingual_sentiment_analysis_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: xx
Size: 507.7 MB

References

References

https://huggingface.co/tabularisai/multilingual-sentiment-analysis

Included Models

  • DocumentAssembler
  • TokenizerModel
  • DistilBertForSequenceClassification