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manoskary
/
musicbert-large

Fill-Mask
Transformers
Safetensors
bert
music-generation
masked-language-modeling
remi
midi
symbolic-music
gigamidi
Model card Files Files and versions
xet
Community

Instructions to use manoskary/musicbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use manoskary/musicbert-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="manoskary/musicbert-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("manoskary/musicbert-large")
    model = AutoModelForMaskedLM.from_pretrained("manoskary/musicbert-large")
  • Notebooks
  • Google Colab
  • Kaggle
musicbert-large
1.39 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
manoskary's picture
manoskary
Upload MusicBERT base model (GigaMIDI REMI+BPE, 120K steps)
8c7502c verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    2.31 kB
    Upload MusicBERT base model (GigaMIDI REMI+BPE, 120K steps) 8 months ago
  • config.json
    592 Bytes
    Upload MusicBERT large (GigaMIDI BPE) 8 months ago
  • model.safetensors
    1.39 GB
    xet
    Upload MusicBERT base model (GigaMIDI REMI+BPE, 120K steps) 8 months ago
  • special_tokens_map.json
    125 Bytes
    Upload MusicBERT large (GigaMIDI BPE) 8 months ago
  • tokenizer.json
    33.4 kB
    Upload MusicBERT large (GigaMIDI BPE) 8 months ago
  • tokenizer_config.json
    1.16 kB
    Upload MusicBERT large (GigaMIDI BPE) 8 months ago