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
| { | |
| "format": "needle-mlx", | |
| "format_version": 2, | |
| "tensor_count": 31, | |
| "parameter_count": 26315421, | |
| "tensor_dtype": "bfloat16", | |
| "source_sha256": "40a32e91d1d4197bf15ba559b74f6727c342dc8746918742fc7d8e2c1f18df40", | |
| "source_checkpoint": "needle.pkl" | |
| } | |