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 VectorEstimator_int8.mlmodelc/weights/weight.bin from FluidInference/supertonic-3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 64.2 MB
-
https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/VectorEstimator_int8.mlmodelc/weights/weight.bin
- Command line
-
hf download hf://FluidInference/supertonic-3-coreml/VectorEstimator_int8.mlmodelc/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/VectorEstimator_int8.mlmodelc/weights/weight.bin
64.2 MB
- Xet hash:
- 2fc84485ae965352cb42d179a7b3ba2a750df39bf64ad6511fcce2a651c6a98d
- Size of remote file:
- 64.2 MB
- SHA256:
- 0e637c3a1725b5e1b3df09cc162d1822e8fe80fa92ba01c180dde2ca29c12523
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