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kittn
/
eupe_vitb16

Image Feature Extraction
Transformers
Safetensors
dinov3_vit
vision
dinov3
vit
Model card Files Files and versions
xet
Community

Instructions to use kittn/eupe_vitb16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kittn/eupe_vitb16 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="kittn/eupe_vitb16")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("kittn/eupe_vitb16")
    model = AutoModel.from_pretrained("kittn/eupe_vitb16")
  • Notebooks
  • Google Colab
  • Kaggle
eupe_vitb16
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
kittn's picture
kittn
Clarify exact parity under bf16 autocast
a46f068 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    3.67 kB
    Clarify exact parity under bf16 autocast about 1 month ago
  • config.json
    1.07 kB
    Upload folder using huggingface_hub about 1 month ago
  • model.safetensors
    343 MB
    xet
    Upload folder using huggingface_hub about 1 month ago
  • preprocessor_config.json
    326 Bytes
    Upload folder using huggingface_hub about 1 month ago