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wasmdashai
/
vits-ar-ye

Text-to-Audio
Transformers
Safetensors
vits
Model card Files Files and versions
xet
Community

Instructions to use wasmdashai/vits-ar-ye with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wasmdashai/vits-ar-ye with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="wasmdashai/vits-ar-ye")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTextToWaveform
    
    tokenizer = AutoTokenizer.from_pretrained("wasmdashai/vits-ar-ye")
    model = AutoModelForTextToWaveform.from_pretrained("wasmdashai/vits-ar-ye")
  • Notebooks
  • Google Colab
  • Kaggle
vits-ar-ye
145 MB
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  • 1 contributor
History: 3 commits
wasmdashai's picture
wasmdashai
Upload model
fba75ed verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload model over 1 year ago
  • config.json
    2.04 kB
    Upload model over 1 year ago
  • model.safetensors
    145 MB
    xet
    Upload model over 1 year ago