Instructions to use TiGa-RCE/needle-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TiGa-RCE/needle-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir needle-mlx TiGa-RCE/needle-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 8677c38871002342032ab29abc553e4d25019ef330d82c0cfe20f22c0e901899
- Size of remote file:
- 52.6 MB
- SHA256:
- 8491dba478deb60e46e437714911e1db729a6463f6289505f99af472b6aac7bc
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