Text-to-Speech
MLX
English
Chinese
voice-cloning
apple-silicon
qwen2.5
flow-matching
meanflow
quantized
8bit
streaming
Instructions to use appautomaton/dots-tts-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use appautomaton/dots-tts-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir dots-tts-mlx appautomaton/dots-tts-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Add the project page link
Browse files
README.md
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Deployers are responsible for applicable law, abuse monitoring, and safeguards
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appropriate to their users and jurisdiction.
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## License and attribution
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The official dots.tts code and released checkpoints are provided under the
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Deployers are responsible for applicable law, abuse monitoring, and safeguards
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appropriate to their users and jurisdiction.
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## Links
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- Source code: [`appautomaton/mlx-speech`](https://github.com/appautomaton/mlx-speech)
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- Project page: [appautomaton.renocrypt.com/mlx-speech](https://appautomaton.renocrypt.com/mlx-speech/)
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## License and attribution
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The official dots.tts code and released checkpoints are provided under the
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