Instructions to use mlx-community/Chatterbox-TTS-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Chatterbox-TTS-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/Chatterbox-TTS-8bit --local-dir Chatterbox-TTS-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from mlx-community/Chatterbox-TTS-8bit: direct link, hf CLI and curl.
- Browser
- Download file 1.05 kB
-
https://huggingface.co/mlx-community/Chatterbox-TTS-8bit/resolve/main/README.md
- Command line
-
hf download hf://mlx-community/Chatterbox-TTS-8bit/README.md
-
curl -L -o README.md https://huggingface.co/mlx-community/Chatterbox-TTS-8bit/resolve/main/README.md
1.05 kB
metadata
library_name: mlx-audio-plus
base_model:
- ResembleAI/chatterbox
tags:
- mlx
pipeline_tag: text-to-speech
mlx-community/Chatterbox-TTS-8bit
This model was converted to MLX format from ResembleAI/chatterbox using mlx-audio-plus version 0.1.0.
Note: This model requires the S3Tokenizer weights from mlx-community/S3TokenizerV2, which will be downloaded automatically.
Use with mlx-audio-plus
pip install -U mlx-audio-plus
Command line
mlx_audio.tts --model mlx-community/Chatterbox-TTS-8bit --text "Hello, this is Chatterbox on MLX!" --ref_audio reference.wav --ref_text "."
Python
from mlx_audio.tts.generate import generate_audio
generate_audio(
text="Hello, this is Chatterbox on MLX!",
model="mlx-community/Chatterbox-TTS-8bit",
ref_audio="reference.wav",
ref_text=".",
file_prefix="output",
)