Image Feature Extraction
timm
PyTorch
Safetensors
red-blood-cells
hematology
medical-imaging
vision-transformer
dino
dinov2
feature-extraction
foundation-model
Eval Results (legacy)
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
- Xet hash:
- 7ba485b8769ac514aa8655d02a1eed713dd41876e5e033738d72dede8e9b4029
- Size of remote file:
- 1.21 GB
- SHA256:
- d849159bbba7ae909588fee2c75f0907d31794dcdc89c6b2c385da805aac04f5
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