Image Feature Extraction
timm
PyTorch
Safetensors
red-blood-cells
hematology
medical-imaging
vision-transformer
dino
dinov2
foundation-model
Eval Results (legacy)
Instructions to use Snarcy/RedDino-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Snarcy/RedDino-small with timm:
import timm model = timm.create_model("hf_hub:Snarcy/RedDino-small", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65f4a6585eb88ec983f29d40bef66f91a6b84af09917b69ffae23ffbaf4cefc1
- Size of remote file:
- 86.6 MB
- SHA256:
- 55d84e3ef0bb8a71bdbb4487dd09415d2ba178fa1b47d37137576a5b06df92b1
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