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Uzef
/
Deepfake-Image

Image Classification
Transformers
PyTorch
Safetensors
ResNet
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Uzef/Deepfake-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Uzef/Deepfake-Image with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Uzef/Deepfake-Image", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModelForImageClassification
    model = AutoModelForImageClassification.from_pretrained("Uzef/Deepfake-Image", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Deepfake-Image
188 MB
Ctrl+K
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  • 1 contributor
History: 11 commits
Uzef's picture
Uzef
Create requirements.txt
d62a78c verified 6 months ago
  • .gitattributes
    1.59 kB
    Update .gitattributes 6 months ago
  • README.md
    115 Bytes
    Update README.md 6 months ago
  • config.json
    682 Bytes
    Create config.json 6 months ago
  • deepfakeconfig.py
    260 Bytes
    Create deepfakeconfig.py 6 months ago
  • deepfakemodel.py
    564 Bytes
    Create deepfakemodel.py 6 months ago
  • model.safetensors
    94.1 MB
    xet
    Upload model.safetensors 6 months ago
  • pipeline.py
    2.67 kB
    Create pipeline.py 6 months ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    94.3 MB
    xet
    Upload pytorch_model.bin 6 months ago
  • requirements.txt
    79 Bytes
    Create requirements.txt 6 months ago