Release MeisenMeister model on Hugging Face #1
Description
Hi @MIC-DKFZ 🤗
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your impressive work on Arxiv, "MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI", which is also featured on our paper page: https://huggingface.co/papers/2510.27326.
The paper page lets people discuss your paper and find related artifacts (such as your models), and you can also claim the paper as yours, which will show up on your public profile at HF, and add GitHub and project page URLs.
I saw from your GitHub repository (https://github.com/MIC-DKFZ/MeisenMeister) that you are planning to release the code and model weights for your MeisenMeister solution. That's fantastic!
Would you be interested in hosting these pre-trained models on https://huggingface.co/models once they are ready? Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards (e.g., "image-classification" for breast cancer MRI) so that people can find and filter models more easily, and we can link them directly to your paper page.
If you're interested, here's a guide on uploading models. If it's a custom PyTorch model, you can use the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub functionalities, allowing easy upload and subsequent download/usage for others. Alternatively, people can download individual files using hf_hub_download.
Once uploaded, we can also link the model to your paper page (read here) to further boost its discoverability.
You could also build a demo for your model on Spaces, and we can provide you a ZeroGPU grant to give you A100 GPUs for free.
Let me know if you're interested or need any guidance when the models are ready for release!
Kind regards,
Niels