Integrate Lightly with Hugging Face

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Hi,

Niels here from the community science team at Hugging Face 🤗 . I noticed your work as it was trending on paperswithcode, and saw you currently host all checkpoints on your own servers, e.g. https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_barlowtwins_2023-08-18_00-11-03/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt.

Did you know that hosting on HF is free, and would allow for better discoverability of your work?

If you're interested, leaving a guide here on how Lightly could be integrated with the hub: https://huggingface.co/docs/hub/en/models-adding-libraries. Basically, it comes down to automated tagging of models which get pushed to the hub (if a user uses lightly for training, we could integrate a `push_to_hub` method which then automatically tags the corresponding model in the model card with `library_name: lightly`).

We've done a similar thing in the past with libraries like Sentence Transformers, Timm, OpenCLIP, Spacy, and so on.

Let us know if you're interested, we're happy to assist the HF integration.

Kind regards,

Niels

Start with the Hugging Face model-library integration guide linked in the issue, then inspect how Lightly currently hosts checkpoints. Clarify the integration scope with maintainers; done should include an agreed way to push Lightly-trained models to the Hub and apply the `library_name: lightly` model-card tag.

Written by the indexing model from the issue text.