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 DurationPredictor_v2.mlpackage/Data/com.apple.CoreML/model.mlmodel from FluidInference/supertonic-3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 101 kB
-
https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/DurationPredictor_v2.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://FluidInference/supertonic-3-coreml/DurationPredictor_v2.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/DurationPredictor_v2.mlpackage/Data/com.apple.CoreML/model.mlmodel
101 kB
- Xet hash:
- 830b11f3e3139b452ce4df0d4bab1dab4ff99140d2f759ae2f9d0e830ee92117
- Size of remote file:
- 101 kB
- SHA256:
- cc85f1e1bb85e8bddf155e9a9ec4727562b934f7b2a2299084e48c4cf8f0cdc2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.