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rhazis
/
resnet18-random-classifier

Image Classification
timm
PyTorch
Model card Files Files and versions
xet
Community
1

Instructions to use rhazis/resnet18-random-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use rhazis/resnet18-random-classifier with timm:

    import timm
    
    model = timm.create_model("hf_hub:rhazis/resnet18-random-classifier", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
resnet18-random-classifier
89.6 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
784bc82 verified about 1 year ago
  • .gitattributes
    1.44 kB
    Adding `safetensors` variant of this model about 1 year ago
  • README.md
    105 Bytes
    Add model over 3 years ago
  • config.json
    477 Bytes
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  • model.safetensors
    44.8 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    44.8 MB
    xet
    Add model over 3 years ago