Add comprehensive model card for OMAR-RQ
#1
by
nielsr
HF Staff
- opened
This PR significantly enhances the model card for the OMAR-RQ model by providing detailed information and improving discoverability on the Hugging Face Hub.
Key additions and improvements include:
- A clear overview and abstract of the model.
- A link to the official paper: OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction.
- A link to the associated GitHub repository for training and inference code.
- Comprehensive usage instructions with runnable Python code examples.
- A table detailing the different available model checkpoints and their performance across various music understanding tasks.
- Relevant metadata such as
pipeline_tag: audio-classification,library_name: omar_rq,license: cc-by-nc-sa-4.0, and specific tags for music-related tasks. - Explicit licensing information for both the code and model weights.
- A BibTeX citation for academic referencing.
This update will make the OMAR-RQ models much more accessible and user-friendly for researchers and practitioners in the AI community.
@nielsr
thank you very much for your contribution.
Could you fix the entry on this and the other versions of OMAR-RQ?
@article
{alonso2025omarrq,
title={OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction},
author={Alonso-Jim\'enez, Pablo and Ramoneda, Pedro and Araz, R. Oguz and Poltronieri, Andrea and Bogdanov, Dmitry},
journal={arXiv preprint arXiv:2507.03482},
year={2025}
}
Thanks, updated
p-alonso
changed pull request status to
merged