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Matthijs
/
snacks-classifier

Image Classification
Transformers
PyTorch
swin
Model card Files Files and versions
xet
Community
2

Instructions to use Matthijs/snacks-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Matthijs/snacks-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Matthijs/snacks-classifier")
    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("Matthijs/snacks-classifier")
    model = AutoModelForImageClassification.from_pretrained("Matthijs/snacks-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
snacks-classifier
110 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Matthijs's picture
Matthijs
Create README.md
8fac3d4 about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    130 Bytes
    Create README.md about 4 years ago
  • config.json
    1.6 kB
    add model about 4 years ago
  • preprocessor_config.json
    240 Bytes
    add model about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "torch.FloatStorage"

    What is a pickle import?

    110 MB
    xet
    add model about 4 years ago