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ChristianDW15
/
deepfake-deit

Image Classification
Transformers
Safetensors
deit
vision
deepfake-detection
Model card Files Files and versions
xet
Community

Instructions to use ChristianDW15/deepfake-deit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ChristianDW15/deepfake-deit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ChristianDW15/deepfake-deit")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("ChristianDW15/deepfake-deit")
    model = AutoModelForImageClassification.from_pretrained("ChristianDW15/deepfake-deit", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deepfake-deit
344 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
ChristianDW15's picture
ChristianDW15
Update ke Stage 3 DCT gabungan (OF+WD): intra 83.07, WD 73.28
a7e4cf9 about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    1.12 kB
    Deploy Stage 3 DCT 4ch; fix label terbalik + num_channels about 1 month ago
  • config.json
    654 Bytes
    Deploy Stage 3 DCT 4ch; fix label terbalik + num_channels about 1 month ago
  • model.safetensors
    344 MB
    xet
    Update ke Stage 3 DCT gabungan (OF+WD): intra 83.07, WD 73.28 about 1 month ago
  • preprocessor_config.json
    322 Bytes
    Upload folder using huggingface_hub 3 months ago