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Afrilab
/
HanwaTTS

Text-to-Speech
Transformers
Safetensors
Hausa
speecht5
text-to-audio
hausa
hausa-tts
speech-synthesis
low-resource-language
african-languages
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Afrilab/HanwaTTS with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="Afrilab/HanwaTTS")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("Afrilab/HanwaTTS")
    model = AutoModelForTextToSpectrogram.from_pretrained("Afrilab/HanwaTTS", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
HanwaTTS / embeddings
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History: 1 commit
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Afrilab
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  • README.md
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  • afr_3572_speaker_embedding.pt
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  • epitran_num_speaker_embedding.pt
    3.28 kB
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