Instructions to use commandeaw/OmniVoice-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use commandeaw/OmniVoice-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OmniVoice-MLX-4bit commandeaw/OmniVoice-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Upload README.md with huggingface_hub
Browse files
README.md
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pipeline_tag: text-to-speech
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tags:
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- mlx
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- text-to-speech
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- voice-cloning
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---
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[k2-fsa/OmniVoice](https://huggingface.co/k2-fsa/OmniVoice) converted to
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MLX (4bit) for [mlx-audio](https://github.com/Blaizzy/mlx-audio) on
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Apple Silicon.
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Just a format conversion — a complete one: the HiggsAudio semantic
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tokenizer weights are kept, so zero-shot voice cloning works.
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pipeline_tag: text-to-speech
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tags:
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- mlx
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---
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OmniVoice in MLX (4bit). For mlx-audio.
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