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Axiveri
/
WazobiaVoice

Text-to-Speech
Transformers
tts
voice-cloning
yoruba
hausa
igbo
pidgin
nigerian-english
african-languages
Model card Files Files and versions
xet
Community

Instructions to use Axiveri/WazobiaVoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Axiveri/WazobiaVoice with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Axiveri/WazobiaVoice")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Axiveri/WazobiaVoice", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • inbuilt_voices
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  • .gitattributes
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  • LICENSE.md
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  • README.md
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  • final_demo.mp4
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  • logo.png
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  • metadata.png
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  • voices.json
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  • wazobia_logo.png
    1.43 MB
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