Text-to-Speech
Core ML
Supertonic
speech
audio
tts
ane
apple-silicon
flow-matching
diffusion
multilingual
Instructions to use FluidInference/supertonic-3-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Supertonic
How to use FluidInference/supertonic-3-coreml 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
Download config.json from FluidInference/supertonic-3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 77 Bytes
-
https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/config.json
- Command line
-
hf download hf://FluidInference/supertonic-3-coreml/config.json
-
curl -L -o config.json https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/config.json
77 Bytes
| { | |
| "base_model": [ | |
| "Supertone/supertonic-3" | |
| ], | |
| "format": "coreml" | |
| } | |