Release CLIP-SVD Adapted Model on Hugging Face

[NielsRogge]

Hi @TahaKoleilat 🤗

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/2509.03740.
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 great to see that the BiomedCoOp dataset is already hosted on the Hugging Face Hub! We'd also love to help you host the pre-trained CLIP-SVD adapted models on https://huggingface.co/models.
Hosting them on Hugging Face will give them 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, which lets you upload the model and people to download and use models right away.
If you prefer not to use this and directly want to upload models through the UI or however you want, people can also use hf_hub_download.

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

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 guidance :)

Kind regards,

Niels