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Duplicated from  Arko007/deepfake-detector-dfd-sota

Begrudging
/
deepfake-detector-dfd-sota

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("video-classification", model="Begrudging/deepfake-detector-dfd-sota")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Begrudging/deepfake-detector-dfd-sota", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deepfake-detector-dfd-sota
1.28 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Begrudging's picture
Begrudging
Update config.json
9fa37cf verified 3 months ago
  • .gitattributes
    1.52 kB
    Duplicate from Arko007/deepfake-detector-dfd-sota 3 months ago
  • README.md
    17 kB
    Duplicate from Arko007/deepfake-detector-dfd-sota 3 months ago
  • config.json
    103 Bytes
    Update config.json 3 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
    Duplicate from Arko007/deepfake-detector-dfd-sota 3 months ago