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junesnow86
/
custom-resnet20

Image Feature Extraction
Transformers
PyTorch
resnet20
custom_code
Model card Files Files and versions
xet
Community

Instructions to use junesnow86/custom-resnet20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use junesnow86/custom-resnet20 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="junesnow86/custom-resnet20", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("junesnow86/custom-resnet20", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
custom-resnet20
1.14 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Junesnow's picture
Junesnow
Upload model
137840f over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    321 Bytes
    Upload model over 3 years ago
  • configuration_resnet20.py
    448 Bytes
    Upload model over 3 years ago
  • modeling_resnet20.py
    508 Bytes
    Upload model over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.14 MB
    xet
    Upload model over 3 years ago