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Arko007
/
deepfake-detector-dfd-sota

Video Classification
Transformers
PyTorch
English
deepfake-detection
clip
vit
spatiotemporal-adapters
bf16
reproducibility
Model card Files Files and versions
xet
Community

Instructions to use Arko007/deepfake-detector-dfd-sota with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Arko007/deepfake-detector-dfd-sota with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="Arko007/deepfake-detector-dfd-sota")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Arko007/deepfake-detector-dfd-sota", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deepfake-detector-dfd-sota
1.28 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Arko007's picture
Arko007
Create README.md
b1dc7f8 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    17 kB
    Create README.md 7 months ago
  • config.json
    78 Bytes
    Upload config.json with huggingface_hub 7 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.28 GB
    xet
    Upload pytorch_model.bin with huggingface_hub 7 months ago