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cursedhelm/cubaser-muscriptor-medium-onnx
cubaser-muscriptor-medium-onnx is a machine learning model from cursedhelm. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for onnxruntime. The card lists the license as cc-by-nc-4.0.
Browser-targeted FP16 ONNX conversion of MuScriptor Medium for Cubaser. It performs multi-instrument music transcription entirely in a WebGPU-capable browser.
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From the Hugging Face model README
Browser-targeted FP16 ONNX conversion of MuScriptor Medium for Cubaser. It performs multi-instrument music transcription entirely in a WebGPU-capable browser.
This repository is a format conversion, not a newly trained checkpoint. The original MuScriptor model was developed by Kyutai and Mirelo. The conversion splits the conditioner and autoregressive decoder into ONNX graphs with external data and supplies Cubaser's browser manifest and vocabulary.
conditioner.onnx and conditioner.onnx.data: audio/instrument conditioner.model.onnx and model.onnx.data: 24-layer autoregressive decoder.manifest.json: Cubaser WebGPU runtime metadata and instrument mapping.vocab.json: MuScriptor event vocabulary.config.json and source-config.json: architecture metadata.The large external-data payloads are intended to be fetched through Hugging
Face's resolve URLs. Cubaser retains a chunked Neocities mirror as a runtime
fallback.
The converted model uses FP16 and requires WebGPU shader-f16, currently best
supported by a hardware-accelerated Chromium browser with a capable GPU.
The converted weights remain licensed under CC BY-NC 4.0. They are for non-commercial use. MuScriptor code is available from the official repository.
If you use the model, cite:
@misc{rouard2026muscriptoropenmodelmultiinstrument,
title={MuScriptor: An Open Model for Multi-Instrument Music Transcription},
author={Simon Rouard and Michael Krause and Axel Roebel and Carl-Johann Simon-Gabriel and Alexandre Défossez},
year={2026},
eprint={2607.08168},
archivePrefix={arXiv},
primaryClass={cs.SD},
url={https://arxiv.org/abs/2607.08168}
}