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einrafh
/
verichain-deepfake-models

Image Classification
Transformers
ONNX
Safetensors
English
deepfake-detection
vit
verichain
Model card Files Files and versions
xet
Community

Instructions to use einrafh/verichain-deepfake-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use einrafh/verichain-deepfake-models with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="einrafh/verichain-deepfake-models")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("einrafh/verichain-deepfake-models", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
verichain-deepfake-models / models
687 MB
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  • 1 contributor
History: 1 commit
einrafh's picture
einrafh
refactor: Organize model artifacts into 'models' directory
43c55e4 11 months ago
  • onnx
    refactor: Organize model artifacts into 'models' directory 11 months ago
  • vit-deepfake-model
    refactor: Organize model artifacts into 'models' directory 11 months ago