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black
/
simple_kitchen

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use black/simple_kitchen with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="black/simple_kitchen")
    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("black/simple_kitchen")
    model = AutoModelForImageClassification.from_pretrained("black/simple_kitchen")
  • Notebooks
  • Google Colab
  • Kaggle
simple_kitchen
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
black's picture
black
commit files to HF hub
2b141f3 over 4 years ago
  • images
    commit files to HF hub over 4 years ago
  • runs
    commit files to HF hub over 4 years ago
  • .gitattributes
    737 Bytes
    initial commit over 4 years ago
  • README.md
    884 Bytes
    commit files to HF hub over 4 years ago
  • config.json
    743 Bytes
    commit files to HF hub over 4 years ago
  • preprocessor_config.json
    228 Bytes
    commit files to HF hub over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    343 MB
    xet
    commit files to HF hub over 4 years ago