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:
- 813ed727cc58120de059434dde4c4300318d176f65725d8e8adf106c649a2e93
- Size of remote file:
- 11.4 MB
- SHA256:
- 37dfca640a02fc2d757600faff32f365dbc4b367a99c4baceea98360a9561a41
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