Instructions to use tinytrashlabs/supertonic-3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use tinytrashlabs/supertonic-3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download tinytrashlabs/supertonic-3-mlx --local-dir supertonic-3-mlx
- Supertonic
How to use tinytrashlabs/supertonic-3-mlx 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
- Local Apps Settings
- LM Studio
- Atomic Chat
Download config.json from tinytrashlabs/supertonic-3-mlx: direct link, hf CLI and curl.
- Browser
- Download file 193 Bytes
-
https://huggingface.co/tinytrashlabs/supertonic-3-mlx/resolve/main/config.json
- Command line
-
hf download hf://tinytrashlabs/supertonic-3-mlx/config.json
-
curl -L -o config.json https://huggingface.co/tinytrashlabs/supertonic-3-mlx/resolve/main/config.json
193 Bytes
| { | |
| "model_type": "supertonic", | |
| "sample_rate": 44100, | |
| "hop": 512, | |
| "latent_dim": 24, | |
| "chunk_factor": 6, | |
| "n_style_ttl": 50, | |
| "n_style_dp": 8, | |
| "cfg_scale": 4.0, | |
| "default_steps": 8 | |
| } |