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_v2.mlmodelc/analytics/coremldata.bin from FluidInference/supertonic-3-coreml: direct link, hf CLI and curl.
- Browser
- Download file 243 Bytes
-
https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/VectorEstimator_v2.mlmodelc/analytics/coremldata.bin
- Command line
-
hf download hf://FluidInference/supertonic-3-coreml/VectorEstimator_v2.mlmodelc/analytics/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/FluidInference/supertonic-3-coreml/resolve/main/VectorEstimator_v2.mlmodelc/analytics/coremldata.bin
243 Bytes
- Xet hash:
- afd3e982863092ac90ee9c67b720108fb78ea42c334b67b840e2bcf9caf27c36
- Size of remote file:
- 243 Bytes
- SHA256:
- 436efdac46acc82cc15611e5601911d6d6f2d9a3a8e5986e79483800c15fcf37
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