Feature Extraction
Transformers
GGUF
sheetsage2
audio
music
music-transcription
midi
abc-notation
custom_code
arxiv:2502.11840
arxiv:2510.02797
arxiv:2212.01884
arxiv:2503.08638
Instructions to use audio-cpp/SheetSage2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use audio-cpp/SheetSage2-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="audio-cpp/SheetSage2-GGUF", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("audio-cpp/SheetSage2-GGUF", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
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