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.mlmodelc/coremldata.bin from FluidInference/supertonic-3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 426 Bytes
-
https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/DurationPredictor_v2.mlmodelc/coremldata.bin
- Command line
-
hf download hf://FluidInference/supertonic-3-coreml/DurationPredictor_v2.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/DurationPredictor_v2.mlmodelc/coremldata.bin
426 Bytes
- Xet hash:
- c03ce47e10daa4d81330fd2d9069ec401408f5d82779d5e066ca4d63d81e1890
- Size of remote file:
- 426 Bytes
- SHA256:
- f4f1630670632dd149787fb6ea4f934ab915c390a88d87a4e825ca58f041b4b2
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