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  • John Snow Labs
  • Dec 17, 2024

English roberta_fake_news_detector_pipeline pipeline RoBertaForSequenceClassification from winterForestStump

  • en
  • open_source
  • pipeline
  • onnx

Description

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

Predicted Entities

Download Copy S3 URI

How to use

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

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

Model Information

Model Name: roberta_fake_news_detector_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 459.1 MB

References

References

https://huggingface.co/winterForestStump/Roberta-fake-news-detector

Included Models

  • DocumentAssembler
  • TokenizerModel
  • RoBertaForSequenceClassification