Text-to-Speech
MLX
Safetensors
English
Chinese
breeze_tts
voice-clone
voice-direction
apple-silicon
8-bit precision
Instructions to use Shoof/Gust-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Shoof/Gust-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Shoof/Gust-MLX --local-dir Gust-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from Shoof/Gust-MLX: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/Shoof/Gust-MLX/resolve/main/tokenizer.json
- Command line
-
hf download hf://Shoof/Gust-MLX/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Shoof/Gust-MLX/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- d244d21c34c21fd882a5645f7e1b77a47b283714de4a4cc6a4f8f8aa7f5e3a9f
- Size of remote file:
- 33.4 MB
- SHA256:
- d3ec9ac3eb2392389b9f5112e85d8b43316494addb587ba7b7a9d61eac23af96
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.