Release SAM2Long models on Hugging Face

[NielsRogge]

Hi @Mark12Ding 🤗

I'm Niels and work as part of 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/2410.16268.
The paper page lets people discuss about your paper and lets them find artifacts about it (your models 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.

It's fantastic to see that you've released the code and made the SAM2Long demo available on Hugging Face Spaces! I noticed that the model checkpoints (Tiny, Small, Base+, Large variants mentioned in your README) are available via a download script on your GitHub.

Would you be interested in hosting these SAM2Long pre-trained model checkpoints directly on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier, link them to the paper page, etc.

If you're down, here's a guide: https://huggingface.co/docs/hub/models-uploading. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub to the model, allowing users to easily download and use your models. Alternatively, people can also use hf_hub_download here for direct file downloads.

After uploading, we can also link the models to the paper page (read here) so people can discover your models.

You've already built a demo on Spaces, which is fantastic! We can provide you a ZeroGPU grant for more powerful GPUs like A100s if needed for larger demos.

Let me know if you're interested or need any guidance :)

Kind regards,

Niels