jameslahm / lsnet_s_distill

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Total runs: 52
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30-day runs: 9
Model's Last Updated: April 04 2025
image-classification

Introduction of lsnet_s_distill

Model Details of lsnet_s_distill

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}, 
}

Runs of jameslahm lsnet_s_distill on huggingface.co

52
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0
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0
3-day runs
0
7-day runs
9
30-day runs

More Information About lsnet_s_distill huggingface.co Model

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lsnet_s_distill huggingface.co

lsnet_s_distill huggingface.co is an AI model on huggingface.co that provides lsnet_s_distill's model effect (), which can be used instantly with this jameslahm lsnet_s_distill model. huggingface.co supports a free trial of the lsnet_s_distill model, and also provides paid use of the lsnet_s_distill. Support call lsnet_s_distill model through api, including Node.js, Python, http.

lsnet_s_distill huggingface.co Url

https://huggingface.co/jameslahm/lsnet_s_distill

jameslahm lsnet_s_distill online free

lsnet_s_distill huggingface.co is an online trial and call api platform, which integrates lsnet_s_distill's modeling effects, including api services, and provides a free online trial of lsnet_s_distill, you can try lsnet_s_distill online for free by clicking the link below.

jameslahm lsnet_s_distill online free url in huggingface.co:

https://huggingface.co/jameslahm/lsnet_s_distill

lsnet_s_distill install

lsnet_s_distill is an open source model from GitHub that offers a free installation service, and any user can find lsnet_s_distill on GitHub to install. At the same time, huggingface.co provides the effect of lsnet_s_distill install, users can directly use lsnet_s_distill installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

lsnet_s_distill install url in huggingface.co:

https://huggingface.co/jameslahm/lsnet_s_distill

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