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Hi @mlpc-ucsd 🤗
I'm Niels and work as part of 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/2509.19282.
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.
It's fantastic to see the OverLayBench_Eval dataset already available on the Hugging Face Hub! We'd also love to help you host the CreatiLayout-AM model you've introduced in the paper on https://huggingface.co/models.
Hosting on Hugging Face will give you more visibility and enable better discoverability for your model. We can add tags in the model card so that people find the model easier, link it to the paper page, etc.
If you're interested, here's a guide on uploading models: 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 functionality. Alternatively, people can use hf_hub_download to download the model directly.
After uploading, we can link the model to your paper page (read here) so people can easily discover your work.
You could 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