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m-a-p
/
MusiLingo-long-v1

Feature Extraction
Transformers
Safetensors
English
musilingo
music
art
custom_code
Model card Files Files and versions
xet
Community

Instructions to use m-a-p/MusiLingo-long-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m-a-p/MusiLingo-long-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="m-a-p/MusiLingo-long-v1", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("m-a-p/MusiLingo-long-v1", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MusiLingo-long-v1
14.8 GB
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  • 1 contributor
History: 13 commits
nicolaus625's picture
nicolaus625
update readme.md with one sample inferrence
1cb4787 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
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  • config.json
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  • configuration_musilingo.py
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  • model-00001-of-00003.safetensors
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  • model-00002-of-00003.safetensors
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  • model-00003-of-00003.safetensors
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  • model.safetensors.index.json
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  • modelling_musilingo.py
    83.3 kB
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