Instructions to use jameslahm/lsnet_t_distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use jameslahm/lsnet_t_distill with timm:
import timm model = timm.create_model("hf_hub:jameslahm/lsnet_t_distill", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61d648117bac36e6eb97785b30e898ffa8cdffda95e95872c3d7f791b4f9fb53
- Size of remote file:
- 47.7 MB
- SHA256:
- de950c2e947604cb132dd0aae9a9c5e293f4a435d6d63e118343b7c770ff75f2
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