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msmsming
/
Food_test

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 msmsming/Food_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use msmsming/Food_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="msmsming/Food_test")
    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("msmsming/Food_test")
    model = AutoModelForImageClassification.from_pretrained("msmsming/Food_test")
  • Notebooks
  • Google Colab
  • Kaggle
Food_test / runs
1.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
msmsming's picture
msmsming
commit files to HF hub
0dfc6fb almost 2 years ago
  • events.out.tfevents.1719650769.6ea22e93be4f.182.0
    1.4 kB
    xet
    commit files to HF hub almost 2 years ago