Instructions to use jameslahm/lsnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use jameslahm/lsnet with timm:
import timm model = timm.create_model("hf_hub:jameslahm/lsnet", pretrained=True) - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- image-classification
- timm
library_tag: timm
license: mit
library_name: timm
LSNet: See Large, Focus Small
Paper: https://arxiv.org/abs/2503.23135
Code: https://github.com/THU-MIG/lsnet
@misc{wang2025lsnetlargefocussmall,
title={LSNet: See Large, Focus Small},
author={Ao Wang and Hui Chen and Zijia Lin and Jungong Han and Guiguang Ding},
year={2025},
eprint={2503.23135},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2503.23135},
}