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
Download sheetsage2_demo.mp4 from audio-cpp/SheetSage2-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 1.52 MB
-
https://huggingface.co/audio-cpp/SheetSage2-GGUF/resolve/main/sheetsage2_demo.mp4
- Command line
-
hf download hf://audio-cpp/SheetSage2-GGUF/sheetsage2_demo.mp4
-
curl -L -o sheetsage2_demo.mp4 https://huggingface.co/audio-cpp/SheetSage2-GGUF/resolve/main/sheetsage2_demo.mp4
1.52 MB
- Xet hash:
- 7731dd232d9a6b958cc4f5e825726a63e47cdd418d28db32174cbe93cc730ad2
- Size of remote file:
- 1.52 MB
- SHA256:
- 4e493ed59eabfe485867aabb5bbe0f635050d0c42829b4e646772bbe3a8ff9e1
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