Release ReT models on Hugging Face

[NielsRogge]

Hi @sarasarto 🤗

I'm Niels from the Hugging Face open-source team. I came across your work on ReT for robust multimodal document retrieval (CVPR 2025) on arXiv and wanted to reach out. Your paper is featured on our paper page: hf.co/papers/2503.01980

We noticed you've made your source code and trained models publicly available on GitHub. To maximize the visibility and impact of your research, we encourage you to consider hosting your pre-trained ReT models on the Hugging Face Hub (huggingface.co/models).

Hosting your models on Hugging Face offers several advantages:

• Improved discoverability: Researchers can easily find and utilize your models through the Hub's search functionality and metadata tagging.
• Increased visibility: Your work will reach a broader audience within the AI community.
• Simplified access: Users can directly load and use your models with a single line of code using the Hugging Face Hub libraries.
• Integration with the paper page: We can link your models directly to your paper's Hugging Face page, enhancing the discoverability of your research.

To upload your models, you can refer to our comprehensive guide: huggingface.co/docs/hub/models-uploading. We can provide further assistance if needed.

Let me know if you're interested and would like to discuss this further.

Kind regards,

Niels
ML Engineer @ Hugging Face