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Jyoti73ML
/
dinov3

Image Feature Extraction
Transformers
Safetensors
English
dinov3_vit
Model card Files Files and versions
xet
Community

Instructions to use Jyoti73ML/dinov3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jyoti73ML/dinov3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="Jyoti73ML/dinov3")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("Jyoti73ML/dinov3")
    model = AutoModel.from_pretrained("Jyoti73ML/dinov3")
  • Notebooks
  • Google Colab
  • Kaggle
dinov3
1.21 GB
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  • 1 contributor
History: 2 commits
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Jyoti73ML
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  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • LICENSE.md
    7.5 kB
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  • README.md
    246 Bytes
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  • config.json
    745 Bytes
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  • model.safetensors
    1.21 GB
    xet
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  • preprocessor_config.json
    585 Bytes
    Add files using upload-large-folder tool 3 months ago