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 DurationPredictor.mlpackage/Data/com.apple.CoreML/model.mlmodel from aufklarer/Supertonic-3-CoreML: direct link, hf CLI and curl.
- Browser
- Download file 83.3 kB
-
https://huggingface.co/aufklarer/Supertonic-3-CoreML/resolve/main/DurationPredictor.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://aufklarer/Supertonic-3-CoreML/DurationPredictor.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/aufklarer/Supertonic-3-CoreML/resolve/main/DurationPredictor.mlpackage/Data/com.apple.CoreML/model.mlmodel
83.3 kB
- Xet hash:
- becbaf27dabc5a03f20c2800bc4129d3a18203649acb22541dba359b8f400fd7
- Size of remote file:
- 83.3 kB
- SHA256:
- 23f4128d68de2cc0aacd5568d134d33f0340deeac64443bd5dc2073a4fada293
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.