Instructions to use m-a-p/YuE2-Vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-a-p/YuE2-Vae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="m-a-p/YuE2-Vae", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m-a-p/YuE2-Vae", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
29 days ago
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Add a direct PDF link alongside arXiv
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Update YuE2 paper link and citation to arXiv
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Sync Suno v6 WildSongBench results and frontier figure
Verified signatureUse competitive with Suno v5/v6; refresh the September 12 comparison and matching figure. Keep inference, weights, prompts and evaluation code unchanged.9a94e1d
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Release YuE2-Vae
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