Release Fin3R LoRA checkpoints on Hugging Face

[NielsRogge]

Hi @rwn17 🤗

Niels here from 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, add Github and project page URLs.

It'd be great to make the Fin3R LoRA checkpoints for DUSt3R, MASt3R, CUT3R, and VGGT available on the 🤗 hub, to improve their discoverability/visibility. I noticed they are currently hosted on Google Drive. Hosting on Hugging Face will give you more visibility/enable better discoverability. We can add tags so that people find them when filtering https://huggingface.co/models.

Uploading models

See here for a guide: https://huggingface.co/docs/hub/models-uploading.

In this case, we could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.

We encourage researchers to push each model checkpoint (e.g., each LoRA adapter) to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.

You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.

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

Cheers,

Niels
ML Engineer @ HF 🤗

[rwn17]

Hi @NielsRogge ,

Thanks for your kind suggestion! We will push our model to HF soon.

Bests,
Weining