Instructions to use 1999xia/ViT_Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use 1999xia/ViT_Fast with timm:
import timm model = timm.create_model("hf_hub:1999xia/ViT_Fast", pretrained=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c5fa35c4f1c2631fcd4f1fd2cea11f23a5a61493941156d9786465b6dcd7af79
- Size of remote file:
- 2.22 MB
- SHA256:
- 5f0ef2d12844ab87d6ba2b27173a6e8ddcc4b2e816b789c61bd14d5c9d5379b2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.