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daveni
/
upside_down_classifier

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use daveni/upside_down_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="daveni/upside_down_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("daveni/upside_down_classifier")
    model = AutoModelForImageClassification.from_pretrained("daveni/upside_down_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
upside_down_classifier
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  • 1 contributor
History: 7 commits
daveni's picture
daveni
Update README.md
2c08ec9 about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    310 Bytes
    Update README.md about 4 years ago
  • config.json
    661 Bytes
    add model about 4 years ago
  • meme.jpg
    13.2 kB
    Upload meme.jpg about 4 years ago
  • meme_upside_down.jpg
    49.3 kB
    Upload meme_upside_down.jpg about 4 years ago
  • preprocessor_config.json
    228 Bytes
    Upload preprocessor_config.json about 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
    add model about 4 years ago