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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