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manoskary
/
musicbert

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 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use manoskary/musicbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="manoskary/musicbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("manoskary/musicbert")
    model = AutoModelForMaskedLM.from_pretrained("manoskary/musicbert")
  • Notebooks
  • Google Colab
  • Kaggle
musicbert
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  • 1 contributor
History: 7 commits
manoskary's picture
manoskary
Upload MusicBERT base model (GigaMIDI REMI+BPE, 130K steps)
345aee2 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    2.29 kB
    Upload MusicBERT base model (GigaMIDI REMI+BPE, 130K steps) 7 months ago
  • config.json
    591 Bytes
    Upload MusicBERT base model (GigaMIDI REMI+BPE, 130K steps) 7 months ago
  • model.safetensors
    472 MB
    xet
    Upload MusicBERT base model (GigaMIDI REMI+BPE, 130K steps) 7 months ago
  • special_tokens_map.json
    125 Bytes
    Upload MusicBERT base model (GigaMIDI REMI+BPE, 130K steps) 7 months ago
  • tokenizer.json
    33.4 kB
    Upload MusicBERT trained on GigaMIDI 8 months ago
  • tokenizer_config.json
    1.16 kB
    Upload MusicBERT base model (GigaMIDI REMI+BPE, 130K steps) 7 months ago