Hi JoVA team 馃
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2512.13677
The paper page lets people discuss about your paper and lets them find artifacts about it (your model and dataset 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'd be great to make the JoVA model checkpoints and the UniAvatar-Bench dataset available on the 馃 hub once they are released, to improve their discoverability and visibility.
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, we could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverage the hf_hub_download one-liner to download a checkpoint from the hub.
We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.
Uploading dataset
Would be awesome to make the UniAvatar-Bench dataset available on 馃 , so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/UniAvatar-Bench")See here for a guide: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 馃
Hi JoVA team 馃
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face Daily Papers: https://huggingface.co/papers/2512.13677
The paper page lets people discuss about your paper and lets them find artifacts about it (your model and dataset 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'd be great to make the JoVA model checkpoints and the UniAvatar-Bench dataset available on the 馃 hub once they are released, to improve their discoverability and visibility.
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
In this case, we could leverage the PyTorchModelHubMixin class which adds
from_pretrainedandpush_to_hubto any customnn.Module. Alternatively, one can leverage the hf_hub_download one-liner to download a checkpoint from the hub.We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.
Uploading dataset
Would be awesome to make the UniAvatar-Bench dataset available on 馃 , so that people can do:
See here for a guide: https://huggingface.co/docs/datasets/loading.
We also support Webdataset, useful for image/video datasets: https://huggingface.co/docs/datasets/en/loading#webdataset.
Besides that, there's the dataset viewer which allows people to quickly explore the first few rows of the data in the browser.
Let me know if you're interested/need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 馃