Hi @yueyang2000 🤗
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/2605.14333.
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.
I saw you've already hosted the InsightTok tokenizer checkpoints on the hub at https://huggingface.co/yueyang2000/InsightTok — that's great! It definitely makes the work more accessible.
Would you also like to host the pre-trained checkpoints for the InsightAR generator on Hugging Face? Hosting the full generative pipeline on the Hub will give your work more visibility and allow the community to easily reproduce the impressive text and face fidelity results you've shown. We can add tags in the model cards so that people find the models easier, and link them directly to the paper page.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to the model, allowing people to download and use it right away.
You can also build a demo for your work 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 guidance!
Best regards,
Niels
ML Engineer @ HF 🤗
Hi @yueyang2000 🤗
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/2605.14333.
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.
I saw you've already hosted the InsightTok tokenizer checkpoints on the hub at https://huggingface.co/yueyang2000/InsightTok — that's great! It definitely makes the work more accessible.
Would you also like to host the pre-trained checkpoints for the InsightAR generator on Hugging Face? Hosting the full generative pipeline on the Hub will give your work more visibility and allow the community to easily reproduce the impressive text and face fidelity results you've shown. We can add tags in the model cards so that people find the models easier, and link them directly to the paper page.
If you're down, leaving a guide here. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto the model, allowing people to download and use it right away.You can also build a demo for your work 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 guidance!
Best regards,
Niels
ML Engineer @ HF 🤗