Text-to-Speech
MLX
Safetensors
fish_qwen3_omni
tts
speech
fishaudio
fish-s2-pro
quantized
int8
apple-silicon
bundled-codec
Instructions to use appautomaton/fishaudio-s2-pro-8bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use appautomaton/fishaudio-s2-pro-8bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir fishaudio-s2-pro-8bit-mlx appautomaton/fishaudio-s2-pro-8bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio

- Xet hash:
- 6b6634df70845889abf614bfaba8dcff4aec246f00313ce06169612e63134333
- Size of remote file:
- 3.54 MB
- SHA256:
- f77da18e7d3cf59182fb714fc6c1bc526e7877b538e6380d8f002e84e8c56ea9
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