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esunn
/
bread

Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use esunn/bread with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use esunn/bread with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="esunn/bread")
    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("esunn/bread")
    model = AutoModelForImageClassification.from_pretrained("esunn/bread")
  • Notebooks
  • Google Colab
  • Kaggle
bread / images
34.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
esunn's picture
esunn
commit files to HF hub
386e7d1 almost 2 years ago
  • bread.jpg
    18.8 kB
    xet
    commit files to HF hub almost 2 years ago
  • dessert.jpg
    15.5 kB
    xet
    commit files to HF hub almost 2 years ago