English trained_sentiment_model_pipeline pipeline DistilBertForSequenceClassification from adrirw

Description

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

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How to use


pipeline = PretrainedPipeline("trained_sentiment_model_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("trained_sentiment_model_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: trained_sentiment_model_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 249.5 MB

References

https://huggingface.co/adrirw/trained_sentiment_model

Included Models

  • DocumentAssembler
  • TokenizerModel
  • DistilBertForSequenceClassification