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  • John Snow Labs
  • Mar 28, 2025

English deepfake_qualityassess2_0_85m_pipeline pipeline ViTForImageClassification from prithivMLmods

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.deepfake_qualityassess2_0_85m_pipeline is a English model originally trained by prithivMLmods.

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How to use


pipeline = PretrainedPipeline("deepfake_qualityassess2_0_85m_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("deepfake_qualityassess2_0_85m_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: deepfake_qualityassess2_0_85m_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.3 MB

References

https://huggingface.co/prithivMLmods/Deepfake-QualityAssess2.0-85M

Included Models

  • ImageAssembler
  • ViTForImageClassification