Release PUMA model and DOMINO dataset on Hugging Face #1
Description
Hi @FangHeng 🤗
Niels here from 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/2603.15620.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models, datasets or demo 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.
I saw on your project page that you have a "Dataset (TBD)" button with a 🤗 emoji, and on your GitHub TODO list that you plan to release the PUMA checkpoints soon. It'd be great to make these artifacts available on the Hugging Face hub to improve their discoverability and visibility within the robotics community.
Uploading models
See here for a guide: https://huggingface.co/docs/hub/models-uploading.
For a custom architecture like PUMA, we could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.
Uploading dataset
Would be awesome to make the DOMINO benchmark available on 🤗, so that people can do:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/DOMINO")See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, there's the dataset viewer which allows people to quickly explore the trajectories and metadata in the browser.
Let me know if you're interested or need any help regarding the upload process!
Cheers,
Niels
ML Engineer @ HF 🤗