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TGrote11
/
Math_Classification

Image Classification
Transformers
PyTorch
cnn
Model card Files Files and versions
xet
Community

Instructions to use TGrote11/Math_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TGrote11/Math_Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="TGrote11/Math_Classification")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import CNN
    model = CNN.from_pretrained("TGrote11/Math_Classification", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Math_Classification
29.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
TGrote11's picture
TGrote11
Create README.md
7ea0617 verified almost 2 years ago
  • .ipynb_checkpoints
    Upload folder using huggingface_hub almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    42 Bytes
    Create README.md almost 2 years ago
  • config.json
    126 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    29.2 MB
    xet
    Upload folder using huggingface_hub almost 2 years ago