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ylacombe
/
bark-large

Text-to-Audio
Transformers
PyTorch
bark
Model card Files Files and versions
xet
Community
11

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

  • Libraries
  • Transformers

    How to use ylacombe/bark-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="ylacombe/bark-large")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToWaveform
    
    processor = AutoProcessor.from_pretrained("ylacombe/bark-large")
    model = AutoModelForTextToWaveform.from_pretrained("ylacombe/bark-large")
  • Notebooks
  • Google Colab
  • Kaggle
bark-large
8.88 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ylacombe's picture
ylacombe
507e27a635a0891f74ef630555965f9cc1ab64451d38b74c9ff9a33520021bf8
d78c2e1 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    6.87 kB
    507e27a635a0891f74ef630555965f9cc1ab64451d38b74c9ff9a33520021bf8 about 3 years ago
  • pytorch_model.bin
    8.88 GB
    xet
    26e1162ab6bc6c5ce369c224638523dba5ebcada7161cd1282759be2571344ae about 3 years ago