Frequency-Aware Self-Supervised Music Representation Learning
This is the official Hugging Face model repository for the paper "Frequency-Aware Self-Supervised Music Representation Learning".
For more details, please visit our GitHub Repository.
Model Checkpoints
This repository contains the following checkpoints:
| Model Name | Directory | Description |
|---|---|---|
| PupuJEPA-Tiny | ./PupuJEPAV2_25Hz_tiny/* |
5M parameter tiny version of PupuJEPA. |
| PupuJEPA-Small | ./PupuJEPAV2_25Hz_small/* |
22M parameter small version of PupuJEPA. |
| PupuJEPA-Base | ./PupuJEPAV2_25Hz_base/* |
86M parameter base version of PupuJEPA. |
| PupuJEPA-Large | ./PupuJEPAV2_25Hz_large/* |
307M parameter large version of PupuJEPA. |
| PupuJEPA-Huge | ./PupuJEPAV2_25Hz_huge/* |
632M parameter huge version of PupuJEPA. |
| PupuJEPA-giant | ./PupuJEPAV2_25Hz_giant/* |
1.1B parameter giant version of PupuJEPA. |
How to use
You need to put the pretrained models in:
PupuJEPA/experiments
of our official repository.
Citation
@article{PupuJEPA,
title = {Frequency-Aware Self-Supervised Music Representation Learning},
author = {Yicheng Gu and Junan Zhang and Jerry Li and Zhizheng Wu and Lauri Juvela},
year = {2026},
journal = {TBD},
}
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