Release FLEX artifacts (code, experience library) on Hugging Face

[NielsRogge]

Hi @Eric-Guoxy 🤗

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/2511.06449.
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 in your GitHub README that your code and the "FLEX experience library" are currently undergoing a company-level review process and you plan to release them soon. That's fantastic news!

It'd be great to make the FLEX implementation (as a model/framework) and your "experience library" (as a dataset) available on the 🤗 hub once they are cleared for release, to improve their discoverability/visibility.
We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

Uploading models (FLEX implementation)

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 or agent implementation. Alternatively, one can leverages the hf_hub_download one-liner to download components from the hub.

We encourage researchers to push each model or framework component to a separate model repository, so that things like download stats also work. We can then also link them to the paper page.

Uploading dataset (FLEX experience library)

Would be awesome to make the experience library available on 🤗 , so that people can do:

from datasets import load_dataset

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

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 your release is ready!

Cheers,

Niels
ML Engineer @ HF 🤗