Feature Extraction
Transformers
Safetensors
sheetsage2
audio
music
music-transcription
midi
abc-notation
custom_code
Instructions to use m-a-p/SheetSage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-a-p/SheetSage2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="m-a-p/SheetSage2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m-a-p/SheetSage2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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@@ -226,7 +226,7 @@ Please cite the [SheetSage2 technical report](https://github.com/instr3/YuE/blob
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```bibtex
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@misc{jiang2026sheetsage2,
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title = {{SheetSage2}: Coherent Lead-Sheet Transcription with Synthetic Supervision},
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author = {Jiang, Junyan and Yuan, Ruibin and Pan, Jiahao and Xue, Wei and Xia, Gus and LeCun, Yann},
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year = {2026},
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howpublished = {Technical report},
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url = {https://github.com/instr3/YuE/blob/main/docs/sheetsage2_technical_report.pdf}
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```bibtex
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@misc{jiang2026sheetsage2,
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title = {{SheetSage2}: Coherent Lead-Sheet Transcription with Synthetic Supervision},
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author = {Jiang, Junyan and Yuan, Ruibin and Pan, Jiahao and Xue, Wei and Guo, Yike and Xia, Gus and LeCun, Yann},
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year = {2026},
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howpublished = {Technical report},
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url = {https://github.com/instr3/YuE/blob/main/docs/sheetsage2_technical_report.pdf}
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