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lysandre
/
tiny-vit-random

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community
2

Instructions to use lysandre/tiny-vit-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lysandre/tiny-vit-random with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="lysandre/tiny-vit-random")
    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("lysandre/tiny-vit-random")
    model = AutoModelForImageClassification.from_pretrained("lysandre/tiny-vit-random")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
tiny-vit-random
394 kB
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  • 1 contributor
History: 4 commits
meimei14's picture
meimei14
Create README.md
6322751 over 3 years ago
  • .gitattributes
    744 Bytes
    Initial commit about 5 years ago
  • README.md
    0 Bytes
    Create README.md over 3 years ago
  • config.json
    69.6 kB
    Image size 16 > 224 about 5 years ago
  • preprocessor_config.json
    228 Bytes
    Initial commit about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    324 kB
    xet
    Image size 16 > 224 about 5 years ago