Hi @53mins 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
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, and add GitHub and project page URLs.
Would you like to host the CIGPose model checkpoints you've pre-trained on https://huggingface.co/models?
I see you are currently using Google Drive for them. Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards (like keypoint-detection) so that people find the models easier, link them to the paper page, etc.
If you're down, leaving a guide here. Since your project is based on MMPose, it should be very straightforward to share the .pth files. People can also use hf_hub_download to fetch your weights directly into their code.
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 model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels
Hi @53mins 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
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, and add GitHub and project page URLs.
Would you like to host the CIGPose model checkpoints you've pre-trained on https://huggingface.co/models?
I see you are currently using Google Drive for them. Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards (like
keypoint-detection) so that people find the models easier, link them to the paper page, etc.If you're down, leaving a guide here. Since your project is based on MMPose, it should be very straightforward to share the
.pthfiles. People can also use hf_hub_download to fetch your weights directly into their code.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 model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested/need any guidance :)
Kind regards,
Niels