Text-to-Speech
Safetensors
MLX
English
mlx-audio
llama
speech
speech generation
voice cloning
tts
4-bit precision
Instructions to use mlx-community/maya1-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/maya1-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir maya1-4bit mlx-community/maya1-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 3273ed58228a90a2915161deef43ad19090956e8c44c2d2ee359a78eb4807056
- Size of remote file:
- 22.9 MB
- SHA256:
- 6c5e5b1d89b7e3738e5a5a4f93c326d8f3292ea83f9c560b8dbb6d66fb851973
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.