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] hf download qfuxa/canary-mlx --local-dir canary-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.model from qfuxa/canary-mlx: direct link, hf CLI and curl.
- Browser
- Download file 504 kB
-
https://huggingface.co/qfuxa/canary-mlx/resolve/main/tokenizer.model
- Command line
-
hf download hf://qfuxa/canary-mlx/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/qfuxa/canary-mlx/resolve/main/tokenizer.model
504 kB
- Xet hash:
- ad28448c2f31cef167d150adc0dee236c7bbf5299ca39b565151b5b653a83fbb
- Size of remote file:
- 504 kB
- SHA256:
- c36395c4fc6074512648baa557586c535f92b9d9682f66bf967bf4cc3ab749b8
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