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Release RPG-Encoder artifacts on Hugging Face

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
28/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
huggingface, python, pytorch
Domain
data, machine-learning, release

Research direction

The issue names no repository files or tests to start from. First review the released RPG-Encoder code, checkpoints, and datasets, then follow the Hugging Face model and dataset upload guides linked in the issue. Done means the relevant artifacts are published on Hugging Face and associated with the paper.

Written by the indexing model from the issue text.

Description

Hi @Luo2003 🤗

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/2602.02084.
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, add Github and project page URLs.

I saw on your GitHub repository (https://github.com/microsoft/RPG-ZeroRepo) that the full codebase for RPG-Encoder will be released within the next two weeks. It'd be great to make any associated checkpoints and/or datasets available on the 🤗 hub, to improve their discoverability/visibility once they are released.
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 leverages 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 any datasets you introduce or use in a novel way available on 🤗 , so that people can do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")

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 first few rows of the data in the browser.

Let me know if you're interested/need any help regarding this once the code is released!

Cheers,

Niels
ML Engineer @ HF 🤗

Dominant language
Python
Stars
553
Forks
43
No merged PRs in 30d

Getting set up

  • Ships a Dockerfile or Docker Compose file
  • No pull request template
  • No contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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