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shunda012
/
vit-deepfake-detector

Image Classification
Transformers
Safetensors
vit
deep-fake
ViT
detection
Image
transformers-4.49.0.dev0
precision-85.48
v2
Model card Files Files and versions
xet
Community

Instructions to use shunda012/vit-deepfake-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use shunda012/vit-deepfake-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="shunda012/vit-deepfake-detector")
    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("shunda012/vit-deepfake-detector")
    model = AutoModelForImageClassification.from_pretrained("shunda012/vit-deepfake-detector")
  • Notebooks
  • Google Colab
  • Kaggle
vit-deepfake-detector
344 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 16 commits
ShunTay12
Updated the README file
2e46038 3 months ago
  • result
    Structure the files 3 months ago
  • .gitattributes
    1.97 kB
    Upload vit-training_metrics.png with huggingface_hub 5 months ago
  • README.md
    7.18 kB
    Updated the README file 3 months ago
  • config.json
    743 Bytes
    Upload merged ViT deepfake detector model (LoRA merged) 5 months ago
  • model.safetensors
    343 MB
    xet
    Upload merged ViT deepfake detector model (LoRA merged) 5 months ago
  • preprocessor_config.json
    374 Bytes
    Upload processor for ViT deepfake detector 5 months ago