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:
- 025a19e41558c5abd1d421b987f6f5f08daec2a9a739619710890ebb6f0b54ba
- Size of remote file:
- 86.5 MB
- SHA256:
- 848aa4aa10122d211e486314c6e4bb3f39ac071a5ff221ca3245a90a29bfd9a3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.