Instructions to use aufklarer/Supertonic-3-CoreML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Supertonic
How to use aufklarer/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 TextEncoder.mlpackage/Data/com.apple.CoreML/model.mlmodel from aufklarer/Supertonic-3-CoreML: direct link, hf CLI and curl.
- Browser
- Download file 129 kB
-
https://huggingface.co/aufklarer/Supertonic-3-CoreML/resolve/main/TextEncoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://aufklarer/Supertonic-3-CoreML/TextEncoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/aufklarer/Supertonic-3-CoreML/resolve/main/TextEncoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
129 kB
- Xet hash:
- 183e499027ddc9c8019c7f883aa725f0ae6ec56ae54f4a993a821381c9a7b860
- Size of remote file:
- 129 kB
- SHA256:
- 3671067b6123ea2fdefc2b36fde98ea25d09a0c9ebc0051e7b2b195387d088a7
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