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ashiq24
/
dinov2-base-lse

Image Classification
Transformers
Safetensors
English
lse-dinov2
vision
dinov2
scale
consistency
custom_code
Model card Files Files and versions
xet
Community

Instructions to use ashiq24/dinov2-base-lse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ashiq24/dinov2-base-lse with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ashiq24/dinov2-base-lse", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ashiq24/dinov2-base-lse", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
dinov2-base-lse
357 MB
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  • 1 contributor
History: 14 commits
ashiq24's picture
ashiq24
Update README.md
2fa14e9 verified 7 months ago
  • .gitattributes
    1.59 kB
    Upload LSE-DINOv2 model 8 months ago
  • README.md
    6.51 kB
    Update README.md 7 months ago
  • config.json
    877 Bytes
    Upload LSE-DINOv2 model 8 months ago
  • configuration_lse_dinov2.py
    4.24 kB
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  • deformation_visualization.png
    9.51 MB
    xet
    Upload LSE-DINOv2 model 8 months ago
  • model.safetensors
    347 MB
    xet
    Upload LSE-DINOv2 model 8 months ago
  • modeling_lse_dinov2.py
    25.6 kB
    Upload LSE-DINOv2 model 8 months ago