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internetoftim
/
dinov2-base

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

Instructions to use internetoftim/dinov2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use internetoftim/dinov2-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="internetoftim/dinov2-base")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("internetoftim/dinov2-base")
    model = AutoModel.from_pretrained("internetoftim/dinov2-base")
  • Notebooks
  • Google Colab
  • Kaggle
dinov2-base
347 MB
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  • 1 contributor
History: 11 commits
internetoftim's picture
internetoftim
Update README.md
1d749ff almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.1 kB
    Update README.md almost 3 years ago
  • config.json
    518 Bytes
    Update config.json almost 3 years ago
  • image_classification-dinov2-base.ipynb
    931 kB
    Upload image_classification-dinov2-base.ipynb almost 3 years ago
  • preprocessor_config.json
    243 Bytes
    Update preprocessor_config.json almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    346 MB
    xet
    Upload pytorch_model.bin almost 3 years ago