Release PerSRec model weights on Hugging Face

Hi @zhangtemplar 🤗

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](https://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 (https://huggingface.co/papers/2601.03479) 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, and add GitHub and project page URLs.

I noticed in your GitHub README that you are currently working on releasing the model weights for your personalized sequential recommendation approach once company policy allows. Would you like to host these checkpoints on https://huggingface.co/models when they are ready?

Hosting on Hugging Face will give your work significantly more visibility and enable better discoverability within the AI community. We can add specific metadata tags so people can filter for recommendation models, link them directly to the paper page, etc.

If you're down, I'm 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, allowing people to download and use your models right away.

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

Kind regards,

Niels