Instructions to use qfuxa/canary-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use qfuxa/canary-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir canary-mlx qfuxa/canary-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- ad28448c2f31cef167d150adc0dee236c7bbf5299ca39b565151b5b653a83fbb
- Size of remote file:
- 504 kB
- SHA256:
- c36395c4fc6074512648baa557586c535f92b9d9682f66bf967bf4cc3ab749b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.