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Hi @lkpengcs 🤗
I'm Niels and work as part of 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 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 the PancreasDG dataset is already available on the Hugging Face Hub! This greatly enhances its visibility and usability for the community.
I also noticed that your paper mentions that the models for your proposed semi-supervised approach "will be available" after the peer-review process. We'd be thrilled if you would also consider hosting these pre-trained models on https://huggingface.co/models once they are released.
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 and link them directly to your paper page.
If you're interested, here's a guide for uploading models. If it's a custom PyTorch model, the PyTorchModelHubMixin class simplifies the process, adding from_pretrained and push_to_hub functionalities.
You can also build a demo for your model on Spaces, and we can provide you a ZeroGPU grant, which gives you A100 GPUs for free.
Let me know if you're interested or need any guidance!
Kind regards,
Niels