sming256
Release OpenTAD checkpoints on Hugging Face
Hi @sming256 🤗
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.
It'd be great to make the checkpoints available on the 🤗 hub, to improve their discoverability/visibility. We can add tags so that people find them when filtering https://huggingface.co/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 to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
Hi @sming256 any reason to close this issue?
I see checkpoints are on Google Drive, we could support you in making all OpenTAD checkpoints easier discoverable on HF, we have free hosting.
We often integrate libraries on the hub, see e.g. https://huggingface.co/models?library=open_clip&sort=trending
Hi @NielsRogge, thanks for your suggestion!
Currently, all the checkpoints are on Google Drive. We plan to move these into HF later this year, with more improvements to this library. I will reopen this issue.
Great! We're happy to assist on the integration.
We wrote an extensive guide on it here: https://huggingface.co/docs/huggingface_hub/guides/integrations