Hi @WuJH2001 馃
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/2507.02363.
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 released the VRU_Basketball dataset on the Hugging Face Hub! This is fantastic for discoverability and usability.
I noticed in your abstract and README that the code and models for LocalDyGS are planned to be released. Would you like to host the pre-trained LocalDyGS model checkpoints on https://huggingface.co/models as well, once they are publicly available?
Hosting them on Hugging Face would give them more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them to your paper page, etc.
If you're interested, here's a guide for 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 to the model, allowing users to download and use it easily. Alternatively, people can also use hf_hub_download (https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file).
After uploading, we can also link the models to your paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, and we can potentially provide 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 @WuJH2001 馃
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/2507.02363.
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 released the
VRU_Basketballdataset on the Hugging Face Hub! This is fantastic for discoverability and usability.I noticed in your abstract and README that the code and models for LocalDyGS are planned to be released. Would you like to host the pre-trained LocalDyGS model checkpoints on https://huggingface.co/models as well, once they are publicly available?
Hosting them on Hugging Face would give them more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them to your paper page, etc.
If you're interested, here's a guide for 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_pretrainedandpush_to_hubto the model, allowing users to download and use it easily. Alternatively, people can also usehf_hub_download(https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file).After uploading, we can also link the models to your paper page (read here) so people can discover your work.
You can also build a demo for your model on Spaces, and we can potentially provide a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested or need any guidance! :)
Kind regards,
Niels