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Release SMEC associated models on Hugging Face #2

@NielsRogge

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@NielsRogge

Hi @Mr-Bigworth 🤗

Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2505.15616.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo 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.

I saw that you've already hosted the LENS dataset on Hugging Face (https://huggingface.co/datasets/zhihe678/LENS), which is fantastic!

I noticed in your GitHub README that associated models for the SMEC framework will be released upon completion of validation. Would you like to also host these checkpoints on https://huggingface.co/models when they are ready?

Uploading models

Hosting on Hugging Face provides better visibility and allows researchers to find and use them directly. You can find a guide here. If they are custom PyTorch models, you can leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub methods, or simply use hf_hub_download for easy file retrieval.

We encourage pushing each model checkpoint to a separate model repository to track individual download stats. After they are uploaded, we can also link the models and the dataset to the paper page (read here) so people can discover your work.

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

Let me know if you're interested or need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗

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