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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
8.89 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
ylacombe's picture
ylacombe
44905ca101e9f7e1bfbf09a77ba8e58421d734a433701815303e13d4a8a9f0b9
cd25530 almost 3 years ago
  • speaker_embeddings
    44905ca101e9f7e1bfbf09a77ba8e58421d734a433701815303e13d4a8a9f0b9 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    6.87 kB
    Upload folder using huggingface_hub (#1) almost 3 years ago
  • pytorch_model.bin
    8.88 GB
    xet
    Upload folder using huggingface_hub (#1) almost 3 years ago