Release Transolver-3 checkpoints on Hugging Face

Hi @hangzhou188 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance), you can also claim the paper as yours which will show up on your public profile at HF, and add GitHub and project page URLs.

Would you like to host the models you've pre-trained on https://huggingface.co/models? I see you are currently hosting DrivAerML_surface.pth and DrivAerML_volume.pth on Google Drive. Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags in the model cards so that people find the models easier, link it to the paper page, etc.

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 which lets you to upload the model and people to download and use models right away. If you do not want this and directly want to upload the model through the UI or however you want, people can also use hf_hub_download.

After uploaded, we can also link the models to the paper page (read here) so people can discover your model.

You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you free GPU-backed compute for eligible demo Spaces.

Let me know if you're interested/need any guidance :)

Kind regards,

Niels

Start with the Hugging Face model-uploading guide and inspect the existing DrivAerML_surface.pth and DrivAerML_volume.pth checkpoints currently hosted on Google Drive. Done means the Transolver-3 checkpoints are uploaded to Hugging Face with enough model-card information to link them to the paper and let users download them.