Release Informed Correctors models on Hugging Face

[NielsRogge]

Hi Yixiu Zhao 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv (https://huggingface.co/papers/2407.21243) and noticed your GitHub repository (https://github.com/lindermanlab/informed-correctors) mentions that it's "still work in progress and will be reorganized soon".

The paper page on Hugging Face allows people to discuss your work and find related artifacts (such as your trained models or datasets). You can also claim the paper as yours, which will show up on your public profile, and add GitHub and project page URLs.

Once your code and models are ready, would you be interested in hosting the trained Informed Correctors models on https://huggingface.co/models? Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add tags to the model cards so that people can easily find your models and link them to the paper page.

If you're interested, you can find a guide here: https://huggingface.co/docs/hub/models-uploading. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub methods, allowing you to upload your model and for others to download and use it easily. Alternatively, you can directly upload models via the UI, or people can use hf_hub_download (https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file).

After uploading, we can link your models to the paper page (read here: https://huggingface.co/docs/hub/en/model-cards#linking-a-paper) so that people can discover your work.

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

Let me know if you're interested or need any guidance!

Kind regards,

Niels