Text-to-Speech
MLX
Safetensors
Chinese
English
dense
tts
apple-silicon
voice-cloning
ming
custom_code
Instructions to use cs2764/Ming-omni-tts-0.5B-8bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cs2764/Ming-omni-tts-0.5B-8bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Ming-omni-tts-0.5B-8bit-mlx cs2764/Ming-omni-tts-0.5B-8bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 8bcb0feb5f42efbcae36853e813e89e2a34527dfa1547663135dcf0db00a6522
- Size of remote file:
- 11.4 MB
- SHA256:
- 87d54ca3b44ea2f822ba39a0a45cb1b61644bd6606d9d3536dea75367bffb06d
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