Instructions to use Bingsu/timm-mobilevitv2_050-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Bingsu/timm-mobilevitv2_050-beans with timm:
import timm model = timm.create_model("hf_hub:Bingsu/timm-mobilevitv2_050-beans", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Bingsu/timm-mobilevitv2_050-beans: direct link, hf CLI and curl.
- Browser
- Download file 4.59 MB
-
https://huggingface.co/Bingsu/timm-mobilevitv2_050-beans/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Bingsu/timm-mobilevitv2_050-beans/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Bingsu/timm-mobilevitv2_050-beans/resolve/main/pytorch_model.bin
4.59 MB
- Xet hash:
- 71fbe4f54f68247fd966465be147ec41d0608953acb9d3563f35d3bb46c1dfa4
- Size of remote file:
- 4.59 MB
- SHA256:
- 39278d55ec7ee9f82e55cf5a1fac8af97ac1ccab623a823a612b43e1259f99f7
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