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SadraCoding
/
SDXL-Deepfake-Detector

Image Classification
Transformers
Safetensors
swin-frequency-hybrid
deepfake-detection
synthetic-image-detection
swin-transformer
frequency-analysis
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use SadraCoding/SDXL-Deepfake-Detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="SadraCoding/SDXL-Deepfake-Detector")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import SwinFrequencyHybridDetector
    model = SwinFrequencyHybridDetector.from_pretrained("SadraCoding/SDXL-Deepfake-Detector", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SDXL-Deepfake-Detector
350 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 30 commits
SadraCoding's picture
SadraCoding
README Update
1824684 about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • LICENSE
    1.05 kB
    Create LICENSE about 1 year ago
  • README.md
    11.7 kB
    README Update about 1 month ago
  • config.json
    434 Bytes
    Frequency Analysis Added about 1 month ago
  • model.safetensors
    350 MB
    xet
    Frequency Analysis Added about 1 month ago
  • preprocessor_config.json
    337 Bytes
    Frequency Analysis Added about 1 month ago
  • training_args.bin
    5.2 kB
    xet
    Frequency Analysis Added about 1 month ago