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Danube
/
bambara-tts

Text-to-Audio
Transformers
Safetensors
speecht5
Model card Files Files and versions
xet
Community

Instructions to use Danube/bambara-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Danube/bambara-tts with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="Danube/bambara-tts")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("Danube/bambara-tts")
    model = AutoModelForTextToSpectrogram.from_pretrained("Danube/bambara-tts")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    6.41 kB
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  • added_tokens.json
    40 Bytes
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  • config.json
    2.11 kB
    Upload SpeechT5ForTextToSpeech almost 2 years ago
  • generation_config.json
    185 Bytes
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  • model.safetensors
    578 MB
    xet
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  • preprocessor_config.json
    458 Bytes
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  • special_tokens_map.json
    690 Bytes
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  • spm_char.model
    238 kB
    xet
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  • tokenizer_config.json
    1.36 kB
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