Hi @AMAP-ML 🤗
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/2504.02546.
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 great to see that you've already hosted GPG-Open-RS1 and GPG-7B on Hugging Face! 🚀
Would you also like to host the other model checkpoints mentioned in your paper, such as GPG-RS3 and the multimodal GPG models based on Qwen2-VL-2B and Qwen2.5-VL-3B?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them to the paper page, etc.
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, which lets you upload the model and people to download and use models right away.
After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your models 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
Hi @AMAP-ML 🤗
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/2504.02546.
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 great to see that you've already hosted GPG-Open-RS1 and GPG-7B on Hugging Face! 🚀
Would you also like to host the other model checkpoints mentioned in your paper, such as GPG-RS3 and the multimodal GPG models based on Qwen2-VL-2B and Qwen2.5-VL-3B?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them to the paper page, etc.
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, which lets you upload the model and people to download and use models right away.After uploaded, we can also link the models to the paper page (read here) so people can discover your work.
You can also build a demo for your models 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