Instructions to use mlx-community/chatterbox-multilingual-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/chatterbox-multilingual-v3 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir chatterbox-multilingual-v3 mlx-community/chatterbox-multilingual-v3
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| library_name: mlx-audio | |
| license: mit | |
| base_model: | |
| - ResembleAI/chatterbox | |
| language: | |
| - ar | |
| - da | |
| - de | |
| - el | |
| - en | |
| - es | |
| - fi | |
| - fr | |
| - he | |
| - hi | |
| - it | |
| - ja | |
| - ko | |
| - ms | |
| - nl | |
| - no | |
| - pl | |
| - pt | |
| - ru | |
| - sv | |
| - sw | |
| - tr | |
| - zh | |
| pipeline_tag: text-to-speech | |
| tags: | |
| - mlx | |
| - text-to-speech | |
| - voice-cloning | |
| # mlx-community/chatterbox-multilingual-v3 | |
| This is Chatterbox Multilingual V3, converted to MLX format from [ResembleAI/chatterbox](https://huggingface.co/ResembleAI/chatterbox) using [mlx-audio](https://github.com/Blaizzy/mlx-audio) version **0.4.7**. | |
| **Note:** This model requires the S3Tokenizer weights from [mlx-community/S3TokenizerV2](https://huggingface.co/mlx-community/S3TokenizerV2), which will be downloaded automatically. | |
| ## Use with mlx-audio | |
| ```bash | |
| pip install -U mlx-audio | |
| ``` | |
| ### Command line | |
| ```bash | |
| mlx_audio.tts.generate --model mlx-community/chatterbox-multilingual-v3 --text "Bonjour, voici Chatterbox sur MLX !" --ref_audio reference.wav --lang_code fr | |
| ``` | |
| ### Python | |
| ```python | |
| from mlx_audio.tts.generate import generate_audio | |
| generate_audio( | |
| text="Bonjour, voici Chatterbox sur MLX !", | |
| model="mlx-community/chatterbox-multilingual-v3", | |
| ref_audio="reference.wav", | |
| lang_code="fr", | |
| file_prefix="output", | |
| ) | |
| ``` | |