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Jacques7103
/
Food-Recognition

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

Instructions to use Jacques7103/Food-Recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jacques7103/Food-Recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Jacques7103/Food-Recognition")
    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("Jacques7103/Food-Recognition")
    model = AutoModelForImageClassification.from_pretrained("Jacques7103/Food-Recognition")
  • Notebooks
  • Google Colab
  • Kaggle
Food-Recognition / runs
364 kB
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  • 1 contributor
History: 21 commits
Jacques7103's picture
Jacques7103
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