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ArtShtorm
/
Shtorm-PocketTTS-RU

Text-to-Speech
Pocket-TTS
Safetensors
Russian
russian
audiobook
voice-cloning
Model card Files Files and versions
xet
Community
1

Instructions to use ArtShtorm/Shtorm-PocketTTS-RU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Pocket-TTS

    How to use ArtShtorm/Shtorm-PocketTTS-RU with Pocket-TTS:

    from pocket_tts import TTSModel
    import scipy.io.wavfile
    
    tts_model = TTSModel.load_model("ArtShtorm/Shtorm-PocketTTS-RU")
    voice_state = tts_model.get_state_for_audio_prompt(
        "hf://kyutai/tts-voices/alba-mackenna/casual.wav"
    )
    audio = tts_model.generate_audio(voice_state, "Hello world, this is a test.")
    # Audio is a 1D torch tensor containing PCM data.
    scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy())
  • Notebooks
  • Google Colab
  • Kaggle
Shtorm-PocketTTS-RU
1.31 GB
Ctrl+K
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  • 1 contributor
History: 10 commits
ArtShtorm's picture
ArtShtorm
Update README.md
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  • v1
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  • .gitattributes
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  • README.md
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  • config.yaml
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  • config_fast.yaml
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  • config_slow.yaml
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  • model_fast.safetensors
    438 MB
    xet
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  • model_slow.safetensors
    438 MB
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  • tokenizer.model
    317 kB
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