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facebook
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dino-vits8

Image Feature Extraction
Transformers
PyTorch
Safetensors
vit
dino
vision
Model card Files Files and versions
xet
Community
3

Instructions to use facebook/dino-vits8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/dino-vits8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="facebook/dino-vits8")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("facebook/dino-vits8")
    model = AutoModel.from_pretrained("facebook/dino-vits8")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
  • Hub documentation

change feature_extractor_type to image_processor_type in preprocessor_config.json

#3 opened about 2 years ago by
abhaymathur21
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