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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
578 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
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Afrilab
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  • .gitignore
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  • LICENSE
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  • README.md
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  • added_tokens.json
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  • config.json
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  • generation_config.json
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  • model.safetensors
    578 MB
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • spm_char.model
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  • tokenizer_config.json
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