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acbdkk
/
cifar10model

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

Instructions to use acbdkk/cifar10model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use acbdkk/cifar10model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="acbdkk/cifar10model")
    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("acbdkk/cifar10model")
    model = AutoModelForImageClassification.from_pretrained("acbdkk/cifar10model")
  • Notebooks
  • Google Colab
  • Kaggle
cifar10model
253 kB
Ctrl+K
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  • 1 contributor
History: 12 commits
acbdkk's picture
acbdkk
Update config.json
5e2b9be over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago
  • config.json
    340 Bytes
    Update config.json over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    251 kB
    xet
    Rename cifar_net.bin to pytorch_model.bin over 2 years ago