Hi @jasonzhango 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Paper Pages: https://huggingface.co/papers/2606.29501.
The paper page lets people discuss your paper and find associated artifacts, and you can also claim the paper as yours to show it on your public profile at HF, as well as link your GitHub repository.
I see that you have set up a GitHub repository for A2World and plan to release the code and weights soon!
Would you like to host the models you've pre-trained (such as the base A2World, A2World-sim, and A2World-policy) on https://huggingface.co/models?
Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add metadata tags (like robotics) in the model cards so that people find the models easily, link them to the paper page, and more.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model so that people can download and use the models right away. Alternatively, users can leverage hf_hub_download.
After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces. We can provide you with a ZeroGPU grant, which gives you free GPU-backed compute for eligible demo Spaces.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @jasonzhango 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Paper Pages: https://huggingface.co/papers/2606.29501.
The paper page lets people discuss your paper and find associated artifacts, and you can also claim the paper as yours to show it on your public profile at HF, as well as link your GitHub repository.
I see that you have set up a GitHub repository for A2World and plan to release the code and weights soon!
Would you like to host the models you've pre-trained (such as the base A2World, A2World-sim, and A2World-policy) on https://huggingface.co/models?
Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add metadata tags (like
robotics) in the model cards so that people find the models easily, link them to the paper page, and more.If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model so that people can download and use the models right away. Alternatively, users can leverage hf_hub_download.After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces. We can provide you with a ZeroGPU grant, which gives you free GPU-backed compute for eligible demo Spaces.
Let me know if you're interested or need any guidance!
Kind regards,
Niels