Text-to-Speech
MLX
Safetensors
English
dots_tts
tts
quantized
4-bit precision
8-bit precision
apple-silicon
dots.tts
Instructions to use smcleod/dots.tts-soar-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use smcleod/dots.tts-soar-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir dots.tts-soar-mlx smcleod/dots.tts-soar-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- a5fbf7d3a82795b605e86b7e60d093c86db4b3753caa7bb447a8c47d88b71747
- Size of remote file:
- 1.22 GB
- SHA256:
- 15a2620e0dd352f73796782c2498f36a55d199a65e9592e7523f72ee45bdcaaa
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