Release PerturbDiff on Hugging Face

[NielsRogge]

Hi @DeepGraphLearning 🤗

Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv 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/submit.

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 abstract and project page that code and data for PerturbDiff are planned for public release soon. It'd be great to make the checkpoints (especially the one pre-trained on the 61M cell dataset) and the processed benchmark data available on the 🤗 hub, to improve their discoverability and visibility within the single-cell and ML biology communities.

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.

Uploading dataset

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

from datasets import load_dataset

dataset = load_dataset("DeepGraphLearning/perturbdiff-data")

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 single-cell metadata and distributions in the browser.

Let me know if you're interested or need any help regarding this!

Cheers,

Niels
ML Engineer @ HF 🤗