Instructions to use starkdmi/chatterbox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use starkdmi/chatterbox with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir chatterbox starkdmi/chatterbox
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 0d6c70da0f39040f055746fd3789eba5178e5e81f4744a97c975a501a74122a6
- Size of remote file:
- 105 kB
- SHA256:
- 709e5a7fa80e010a011c8244f553853aed7a49c106fff54008fbd89a0f5a6148
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.