Instructions to use Orvena/Supertonic-3-ANE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Supertonic
How to use Orvena/Supertonic-3-ANE 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.mlpackage/Data/com.apple.CoreML/model.mlmodel from Orvena/Supertonic-3-ANE: direct link, hf CLI and curl.
- Browser
- Download file 1.23 MB
-
https://huggingface.co/Orvena/Supertonic-3-ANE/resolve/main/VectorEstimator.mlpackage/Data/com.apple.CoreML/model.mlmodel
- Command line
-
hf download hf://Orvena/Supertonic-3-ANE/VectorEstimator.mlpackage/Data/com.apple.CoreML/model.mlmodel
-
curl -L -o model.mlmodel https://huggingface.co/Orvena/Supertonic-3-ANE/resolve/main/VectorEstimator.mlpackage/Data/com.apple.CoreML/model.mlmodel
1.23 MB
- Xet hash:
- ad8042c0d1dff7ac94e258543a40499e8ffb2460c3ecbdf19e7fe1fffb09fe82
- Size of remote file:
- 1.23 MB
- SHA256:
- 7de8abf519c63a14ff9594d56bbf27a91fb2727f672565f6ab7949f21d2e4e2c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.