Text-to-Speech
LiteRT
LiteRT
Supertonic
supertonic_3
tts
on-device
android
qualcomm
npu
flow-matching
Instructions to use soniqo/Supertonic-3-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use soniqo/Supertonic-3-LiteRT with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Supertonic
How to use soniqo/Supertonic-3-LiteRT 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
- Xet hash:
- 56e177bb73e5e5c2d97a1a5d47244119fe11a8885fbbe81475c45b3f3a58248a
- Size of remote file:
- 35.8 MB
- SHA256:
- 0ad85abb7145091a46beee886c9692050a894352b65e673b4e8c46c954274fd0
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