Instructions to use agg23/Sharp-mlx-f16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sharp
How to use agg23/Sharp-mlx-f16 with Sharp:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use agg23/Sharp-mlx-f16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Sharp-mlx-f16 agg23/Sharp-mlx-f16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat

- Xet hash:
- d8c7dd1eea8986ece5c03e1c94e629021d71c5cb6a283c34eb0528c28347f0a1
- Size of remote file:
- 495 kB
- SHA256:
- 174bcb98cb362298c70435004cc901bea14411f21e81540c0a28d43688b92bc1
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