Text-to-Speech
Safetensors
MLX
mlx-audio
fish_qwen3_omni
speech
speech generation
voice cloning
tts
8-bit precision
Instructions to use mlx-community/fish-audio-s2-pro-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/fish-audio-s2-pro-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir fish-audio-s2-pro-8bit mlx-community/fish-audio-s2-pro-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- ab939bfbfdde24485101aa13a1a2e24c0e3b726c521815739e99780b5d0942c3
- Size of remote file:
- 12.2 MB
- SHA256:
- f24e08099d45a8adf3f52f5f0b03276e433bb9d689bb15fcbcc48ce58744588b
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