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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
6

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
SheetSage2 / benchmarks
746 kB
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  • 3 contributors
History: 3 commits
a43992899's picture
a43992899
Update benchmark documentation and point estimates
4f89269 verified 18 days ago
  • chordformer.md
    3.91 kB
    Replace chord specialist with verified ChordFormer benchmarks 29 days ago
  • chordformer_per_song.csv
    403 kB
    Replace chord specialist with verified ChordFormer benchmarks 29 days ago
  • chordformer_results.json
    4.44 kB
    Replace chord specialist with verified ChordFormer benchmarks 29 days ago
  • jaah.md
    5.17 kB
    Update benchmark documentation and point estimates 18 days ago
  • jaah_per_song.csv
    272 kB
    Update benchmark documentation and point estimates 18 days ago
  • jaah_results.json
    10 kB
    Update benchmark documentation and point estimates 18 days ago
  • jaah_statistics.json
    961 Bytes
    Update benchmark documentation and point estimates 18 days ago
  • rock_corpus.md
    1.75 kB
    Update benchmark documentation and point estimates 18 days ago
  • rock_corpus_per_song.csv
    38.3 kB
    Update benchmark documentation and point estimates 18 days ago
  • rock_corpus_results.json
    1.14 kB
    Update benchmark documentation and point estimates 18 days ago
  • score_chordformer.py
    5.28 kB
    Replace chord specialist with verified ChordFormer benchmarks 29 days ago