Hi @songweii 🤗
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/2506.09040.
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 released the training code for ASVR on GitHub, which is excellent! It’s impressive to see the consistent performance gains across so many benchmarks for models like LLaVA-1.5 and Bunny.
Would you like to host the pre-trained ASVR-enhanced model checkpoints you've developed on https://huggingface.co/models? Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add tags to 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 these are custom models, you can use the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub functionality, or you can use hf_hub_download for easy checkpoint access.
You can also build a demo for your model on Spaces, and we can provide you a ZeroGPU grant, which gives you access to A100 GPUs for free.
Let me know if you're interested or need any guidance :)
Kind regards,
Niels
Hi @songweii 🤗
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/2506.09040.
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 released the training code for ASVR on GitHub, which is excellent! It’s impressive to see the consistent performance gains across so many benchmarks for models like LLaVA-1.5 and Bunny.
Would you like to host the pre-trained ASVR-enhanced model checkpoints you've developed on https://huggingface.co/models? Hosting on Hugging Face will give your work more visibility and enable better discoverability. We can add tags to 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 these are custom models, you can use the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubfunctionality, or you can use hf_hub_download for easy checkpoint access.You can also build a demo for your model on Spaces, and we can provide you a ZeroGPU grant, which gives you access to A100 GPUs for free.
Let me know if you're interested or need any guidance :)
Kind regards,
Niels