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TimKond
/
diffusion-detection

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
beit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use TimKond/diffusion-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TimKond/diffusion-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="TimKond/diffusion-detection")
    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("TimKond/diffusion-detection")
    model = AutoModelForImageClassification.from_pretrained("TimKond/diffusion-detection")
  • Notebooks
  • Google Colab
  • Kaggle
diffusion-detection / runs
22.5 kB
Ctrl+K
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  • 2 contributors
History: 1 commit
TimKond's picture
TimKond
initial commit
1840e63 almost 3 years ago
  • Jun22_13-42-13_DESKTOP-3GG4RF1
    initial commit almost 3 years ago