Instructions to use seige-ml/DERETFound_DR_APTOS2019 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use seige-ml/DERETFound_DR_APTOS2019 with timm:
import timm model = timm.create_model("hf_hub:seige-ml/DERETFound_DR_APTOS2019", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10a3362c7515b822c7864bbee22cd59017f7e00293153b9c6b2fced3ea320a46
- Size of remote file:
- 1.21 GB
- SHA256:
- 96deb81731fcd8e52e771387a01bf36ee28f9f58544028f6f47102d493a28de1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.