Instructions to use nikolai40/deep-dating with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use nikolai40/deep-dating with timm:
import timm model = timm.create_model("hf_hub:nikolai40/deep-dating", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7083ec74d34b5a5224354b0092a591b144dd3ab29c2da096d3c968acc45704df
- Size of remote file:
- 1.12 MB
- SHA256:
- d964b03f4c0c73317861a912540a832ede728699d806e5fc4720392350afa6e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.