Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Hosting pretrained models on Hugging Face #2

Closed
merveenoyan opened this issue Sep 27, 2024 · 1 comment
Closed

Hosting pretrained models on Hugging Face #2

merveenoyan opened this issue Sep 27, 2024 · 1 comment

Comments

@merveenoyan
Copy link

Hello @marcomistretta 🤗

I'm Merve and I work on computer vision at Hugging Face. I see your paper is accepted, congratulations on getting accepted to ECCV!
I see you claimed your paper here https://huggingface.co/papers/2407.03056. The paper page lets people discuss about your paper and lets them find artifacts about it, you can also claim the paper as yours which will show up on your public profile at HF.

Would you like to host the models you pre-trained with this technique on https://huggingface.co/models? I couldn't find the models. If you'd like to, hosting on Hugging Face will give your work more visibility.

Leaving a guide here. If it's a PyTorch model, you can use 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 model through UI or however you want, people can also use hf_hub_download.

What do you think?

@marcomistretta
Copy link
Member

Hi @merveenoyan 🤗,

Thanks for reaching out!
I’d love to host the models on Hugging Face, but at the moment, I'm quite busy preparing for ICLR🤞
I'll definitely get to it when I have some free time!

Appreciate the guide and I'll make sure to refer to it when I get the chance

Best,
Marco

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants