Image Feature Extraction
timm
PyTorch
Safetensors
vit
radiomics
medical-imaging
vision-transformer
dino
dinov2
feature-extraction
foundation-model
Eval Results (legacy)
Instructions to use Snarcy/RadioDino-s16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Snarcy/RadioDino-s16 with timm:
import timm model = timm.create_model("hf_hub:Snarcy/RadioDino-s16", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- medmnist
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- radimagenet
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- BUSI
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pipeline_tag: feature-extraction
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model-index:
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- name: RadioDINO-s16
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results:
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- medmnist
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- radimagenet
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- BUSI
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pipeline_tag: image-feature-extraction
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model-index:
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- name: RadioDINO-s16
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results:
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