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Snarcy
/
RedDino-large

Image Feature Extraction
timm
PyTorch
Safetensors
red-blood-cells
hematology
medical-imaging
vision-transformer
dino
dinov2
feature-extraction
foundation-model
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use Snarcy/RedDino-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • timm

    How to use Snarcy/RedDino-large with timm:

    import timm
    
    model = timm.create_model("hf_hub:Snarcy/RedDino-large", pretrained=True)
  • Notebooks
  • Google Colab
  • Kaggle
RedDino-large
2.43 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
Snarcy's picture
Snarcy
nielsr's picture
nielsr HF Staff
Improve model card: Update pipeline tag, license, and add comprehensive details from GitHub (#1)
4b86474 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    7.76 kB
    Improve model card: Update pipeline tag, license, and add comprehensive details from GitHub (#1) 12 months ago
  • config.json
    649 Bytes
    RedDino_config over 1 year ago
  • model.safetensors
    1.21 GB
    xet
    RedDino_config over 1 year ago
  • pytorch_model.bin
    1.21 GB
    xet
    RedDino_config over 1 year ago