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
FileNotFoundError: chord_spelling_sheetsage2.py when loading from a local directory (since e8b16e3e44)
#5 opened 14 days ago
by
Dea4dj0e
SheetSage consistently messes up covers around the 50 second mark
➕ 1
6
#4 opened 21 days ago
by
Makazi
License for the Python code in SheetSage2 and MERT-v2 repositories
#2 opened 24 days ago
by
pytraveler
Will this dataset be open-sourced in the future?
#1 opened 25 days ago
by
q907711588