Feature Extraction
timm
PyTorch
Safetensors
vit
radiomics
medical-imaging
vision-transformer
dino
dinov2
foundation-model
Eval Results (legacy)
Instructions to use Snarcy/RadioDino-s8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Snarcy/RadioDino-s8 with timm:
import timm model = timm.create_model("hf_hub:Snarcy/RadioDino-s8", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77abf76819ed04c8de87f495a49f5a11178a45b2052bc44665e8acee5daf2c7c
- Size of remote file:
- 86.7 MB
- SHA256:
- 8e30c75ba61328d4849deff0bd454e6dbf20a95e77e3cdb3cb3e85ec7e0f845d
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