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m-a-p
/
SheetSage2

Feature Extraction
Transformers
Safetensors
sheetsage2
audio
music
music-transcription
midi
abc-notation
custom_code
Model card Files Files and versions
xet
Community
3

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)
    # 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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Note duplication/corruption

#3 opened about 19 hours ago by
rkfg

License for the Python code in SheetSage2 and MERT-v2 repositories

#2 opened 2 days ago by
pytraveler

Will this dataset be open-sourced in the future?

#1 opened 4 days ago by
q907711588
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