Instructions to use mlx-community/S3TokenizerV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/S3TokenizerV3 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir S3TokenizerV3 mlx-community/S3TokenizerV3
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| library_name: mlx-audio-plus | |
| base_model: | |
| - FunAudioLLM/Fun-CosyVoice3-0.5B-2512 | |
| tags: | |
| - mlx | |
| - speech-tokenizer | |
| # mlx-community/S3TokenizerV3 | |
| S3TokenizerV3 (Supervised Semantic Speech Tokenizer) converted to MLX format from [FunAudioLLM/Fun-CosyVoice3-0.5B-2512](https://huggingface.co/FunAudioLLM/Fun-CosyVoice3-0.5B-2512). | |
| This tokenizer is automatically downloaded when using CosyVoice 3 with [mlx-audio-plus](https://github.com/DePasqualeOrg/mlx-audio-plus) version **0.1.4**. | |