Release GNM Head on Hugging Face

Hi @ 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2607.23687
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.

Would you like to host the model you've pre-trained on https://huggingface.co/models?
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](https://huggingface.co/docs/hub/models-uploading). If it's a custom PyTorch model, you can use the [PyTorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.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](https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file).

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

You can also build a demo for your model on [Spaces](https://huggingface.co/spaces). [ZeroGPU](https://huggingface.co/docs/hub/en/spaces-gpus#zerogpu) gives on-demand GPU-backed compute for demo Spaces.
For a limited time, users can create up to two ZeroGPU Spaces in their personal namespace for free.

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

Kind regards,

Niels

No repository file or test is identified. Start with the linked Hugging Face model-uploading guide and the PyTorchModelHubMixin documentation; done means the pre-trained GNM Head model is hosted on Hugging Face and linked to its paper page.

Written by the indexing model from the issue text.