Telugu telugu_sentiment_analysis_pipeline pipeline AlbertForSequenceClassification from aashish-249

Description

Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.telugu_sentiment_analysis_pipeline is a Telugu model originally trained by aashish-249.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("telugu_sentiment_analysis_pipeline", lang = "te")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("telugu_sentiment_analysis_pipeline", lang = "te")
val annotations = pipeline.transform(df)

Model Information

Model Name: telugu_sentiment_analysis_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: te
Size: 125.9 MB

References

https://huggingface.co/aashish-249/Telugu-sentiment_analysis

Included Models

  • DocumentAssembler
  • TokenizerModel
  • AlbertForSequenceClassification