Instructions to use jameslahm/lsnet_s_distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use jameslahm/lsnet_s_distill with timm:
import timm model = timm.create_model("hf_hub:jameslahm/lsnet_s_distill", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b921f514d12e7e08e5e77e3ad86dcb9af438a3cec0934dfd98c159fea01445af
- Size of remote file:
- 67 MB
- SHA256:
- ccb25919318ba1c4d09d96035a739e004df70a0a6f9fa73b0d4d3b08c4e93803
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