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ArrayDice
/
food_image_classification

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

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

  • Libraries
  • Transformers

    How to use ArrayDice/food_image_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ArrayDice/food_image_classification")
    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("ArrayDice/food_image_classification")
    model = AutoModelForImageClassification.from_pretrained("ArrayDice/food_image_classification")
  • Notebooks
  • Google Colab
  • Kaggle
food_image_classification / runs
14.8 kB
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  • 1 contributor
History: 4 commits
ArrayDice's picture
ArrayDice
End of training
6b3d542 verified almost 2 years ago
  • Jul16_15-03-20_95a9bfe533b7
    End of training almost 2 years ago