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  • John Snow Labs
  • Jan 30, 2025

English inappropriate_image_classification_using_vit_pipeline pipeline ViTForImageClassification from Pratik-hf

  • en
  • open_source
  • pipeline
  • onnx

Description

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

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How to use


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



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

Model Information

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

References

https://huggingface.co/Pratik-hf/Inappropriate-image-classification-using-ViT

Included Models

  • ImageAssembler
  • ViTForImageClassification