Instructions to use jameslahm/lsnet_s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use jameslahm/lsnet_s with timm:
import timm model = timm.create_model("hf_hub:jameslahm/lsnet_s", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, remove redundant tag
#1
by nielsr HF Staff - opened
This PR fixes the pipeline tag to be image-classification, and also removes the tag library_tag (which is not a valid tag).
jameslahm changed pull request status to merged