Release LocAnyMed models and datasets on Hugging Face

[NielsRogge]

Hi @MiliLab 🤗

Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv (https://huggingface.co/papers/2608.03322) and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/2608.03322

I noticed in your GitHub repository that you plan to release the LocAnyMed-200K and LocAnyMed-CoT-20K datasets as well as the trained LocAnyMed model checkpoints in upcoming updates.

It'd be great to make the checkpoints and datasets available on the 🤗 Hub when they are ready, to improve their discoverability and visibility within the medical AI community. 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 datasets available on 🤗, so that people can do:

from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/LocAnyMed-200K")

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 or need any guidance when you prepare for release!

Cheers,

Niels
ML Engineer @ HF 🤗