Release CLUDI on Hugging Face

[NielsRogge]

Hi @uzielroy 🤗

Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv, "Clustering via Self-Supervised Diffusion", and saw on your GitHub repository that the code is "coming soon". That's great!

I was wondering whether you would like to submit your paper 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 your paper and find related artifacts (models, datasets, demos), and you can also claim the paper as yours which will show up on your public profile, and add GitHub and project page URLs.

Once your code, and any associated pre-trained model checkpoints or datasets for CLUDI, are ready for release, it'd be great to make them available on the 🤗 hub, to improve their discoverability and visibility. 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 new dataset or processed data 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.

You can also build a demo for your model on Spaces, we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.

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

Cheers,

Niels
ML Engineer @ HF 🤗