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jinmang2
/
beit-large-patch16-224-dapt-facemask

Transformers
PyTorch
beit
Model card Files Files and versions
xet
Community

Instructions to use jinmang2/beit-large-patch16-224-dapt-facemask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jinmang2/beit-large-patch16-224-dapt-facemask with Transformers:

    # Load model directly
    from transformers import AutoImageProcessor, BeitForMaskedImageModeling
    
    processor = AutoImageProcessor.from_pretrained("jinmang2/beit-large-patch16-224-dapt-facemask")
    model = BeitForMaskedImageModeling.from_pretrained("jinmang2/beit-large-patch16-224-dapt-facemask")
  • Notebooks
  • Google Colab
  • Kaggle
beit-large-patch16-224-dapt-facemask
1.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
jinmang2's picture
jinmang2
Update config.json
f15fe89 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    805 Bytes
    Update config.json over 4 years ago
  • preprocessor_config.json
    275 Bytes
    Create preprocessor_config.json over 4 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?

    1.25 GB
    xet
    add model over 4 years ago