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] huggingface-cli download --local-dir supertonic-3-mlx tinytrashlabs/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
File size: 937 Bytes
f032c0f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | SuperTonic 3 (MLX conversion) — attribution notice
Original model: SuperTonic 3 by Supertone Inc.
https://huggingface.co/Supertone/supertonic-3
These weights were format-converted from the original ONNX exports (fp32,
opset 19, `onnx/` directory of Supertone/supertonic-3) to MLX safetensors.
They are MODIFIED FILES in the sense of the license: numerical values are
unchanged, but the container format, tensor key names, and Conv weight axis
order ([O,I,K] -> [O,K,I]) differ from the originals. The classifier-free-
guidance scale (4.0) and the Euler integration step that are baked into the
original vector_estimator.onnx graph are NOT baked into these weights; they
are applied by the consuming runtime (mlx-audio-swift `SupertonicModel`).
License: BigScience Open RAIL-M (see LICENSE), including its use-based
restrictions (Attachment A). Redistribution must carry the license, this
notice, and the use restrictions forward.
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