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ep44
/
Stanford_dogs-google_vit_base_patch16_224

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

Instructions to use ep44/Stanford_dogs-google_vit_base_patch16_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ep44/Stanford_dogs-google_vit_base_patch16_224 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ep44/Stanford_dogs-google_vit_base_patch16_224")
    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("ep44/Stanford_dogs-google_vit_base_patch16_224")
    model = AutoModelForImageClassification.from_pretrained("ep44/Stanford_dogs-google_vit_base_patch16_224")
  • Notebooks
  • Google Colab
  • Kaggle
Stanford_dogs-google_vit_base_patch16_224
344 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
ep44's picture
ep44
preprocessor_config.json added
f321477 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    21 Bytes
    initial commit about 3 years ago
  • config.json
    5.73 kB
    initial about 3 years ago
  • preprocessor_config.json
    171 Bytes
    preprocessor_config.json added about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    344 MB
    xet
    initial about 3 years ago