Release DexGarmentLab policies (HALO, GAM, SADP) checkpoints on Hugging Face #8
Description
Hi @wayrise 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2505.11032.
The paper page lets people discuss about your paper and lets them find artifacts about it (your policies for instance), you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
It's fantastic to see that you've released the DexGarmentLab dataset on the Hugging Face Hub! I also noticed that you've released the baselines and generalizable policies (HALO, GAM, SADP) as part of your GitHub repository.
Would you also like to host the pre-trained checkpoints for your HALO policies (GAM and SADP) on https://huggingface.co/models?
Hosting them on Hugging Face will give you more visibility and enable better discoverability for researchers and practitioners in the robotics community. We can add tags in the model cards so that people can find your policies more easily and link them directly to the paper page.
If you're interested, here's a guide: https://huggingface.co/docs/hub/models-uploading. For custom PyTorch models, you can use the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub functionality. Alternatively, users can download models directly using hf_hub_download.
After uploading, we can link the models to your paper page (read here) so people can discover your work. You could also consider building a Gradio demo for your policies on Spaces, and we can provide you a ZeroGPU grant for free A100 GPUs.
Let me know if you're interested or need any guidance!
Kind regards,
Niels