Instructions to use Supertone/supertonic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Supertonic
How to use Supertone/supertonic with Supertonic:
from supertonic import TTS tts = TTS(auto_download=True) style = tts.get_voice_style(voice_name="M1") text = "The train delay was announced at 4:45 PM on Wed, Apr 3, 2024 due to track maintenance." wav, duration = tts.synthesize(text, voice_style=style) tts.save_audio(wav, "output.wav")
- Notebooks
- Google Colab
- Kaggle
Hi, I'm Steven from HF! I opened a small PR to help get clearer and better snippets + library_name since the model is now on transformers.js!
Browse files
README.md
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@@ -3,6 +3,7 @@ license: openrail
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language:
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- en
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pipeline_tag: text-to-speech
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---
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# Supertonic — Lightning Fast, On-Device TTS
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This model was trained using PyTorch, which is licensed under the BSD 3-Clause License but is not redistributed with this project. - see the [LICENSE](https://docs.pytorch.org/FBGEMM/general/License.html) for details.
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Copyright (c) 2025 Supertone Inc.
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language:
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- en
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pipeline_tag: text-to-speech
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library_name: transformers.js
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---
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# Supertonic — Lightning Fast, On-Device TTS
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This model was trained using PyTorch, which is licensed under the BSD 3-Clause License but is not redistributed with this project. - see the [LICENSE](https://docs.pytorch.org/FBGEMM/general/License.html) for details.
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Copyright (c) 2025 Supertone Inc.
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