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 # OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction
 
-This repository contains the **OMAR-RQ** model, an open-source foundation model for music audio understanding, presented in the paper [OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction](https://huggingface.co/papers/2507.03482).
+**OMAR-RQ**  is an open-source foundation model for music audio understanding, presented in the paper [OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction](https://huggingface.co/papers/2507.03482).
 
 OMAR-RQ is trained with self-supervision via masked token classification methodologies using a large-scale dataset with over 330,000 hours of music audio. It offers powerful, multipurpose representations essential for advancing research in music information retrieval. The model achieves state-of-the-art performance among open self-supervised models across various tasks:
 *   **Music Tagging**