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README.md

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This repository contains training, validation, and inference code for various SSL approaches and architectures.
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<img src="img/omaro_the_original.png" alt="Lobster" width="50%">
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<div align="center">
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<img src="img/omaro_the_original.png" alt="Lobster" width="40%">
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</div>
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## Install
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python src/train.py cfg/rq_single_view/config.gin
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```
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## Citation
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If you find this work useful, please cite the paper:
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```bibtex
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@article {alonso2025omarrq,
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title={OMAR-RQ: Open Music Audio Representation Model Trained with Multi-Feature Masked Token Prediction},
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author={Alonso-Jim\'enez, Pablo and Ramoneda, Pedro and Araz, R. Oguz and Poltronieri, Andrea and Bogdanov, Dmitry},
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journal={arXiv preprint arXiv:2507.03482},
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year={2025}
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}
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```
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## Licensing information
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The code in this repository is available under [AGPL-3.0 license](https://www.gnu.org/licenses/agpl-3.0.en.html) license.

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