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  • John Snow Labs
  • Sep 06, 2024

Malay (macrolanguage) malay_sentiment_deberta_xsmall_pipeline pipeline DeBertaForSequenceClassification from malaysia-ai

  • ms
  • open_source
  • pipeline
  • onnx

Description

Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.malay_sentiment_deberta_xsmall_pipeline is a Malay (macrolanguage) model originally trained by malaysia-ai.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("malay_sentiment_deberta_xsmall_pipeline", lang = "ms")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("malay_sentiment_deberta_xsmall_pipeline", lang = "ms")
val annotations = pipeline.transform(df)

Model Information

Model Name: malay_sentiment_deberta_xsmall_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: ms
Size: 240.4 MB

References

https://huggingface.co/malaysia-ai/malay-sentiment-deberta-xsmall

Included Models

  • DocumentAssembler
  • TokenizerModel
  • DeBertaForSequenceClassification