Instructions to use aac6fef/laya-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aac6fef/laya-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir laya-mlx aac6fef/laya-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Document PyPI installation and macOS 14 wheel support
Browse files- README.md +2 -2
- manifest.json +2 -2
README.md
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## Usage
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Install the dedicated runtime on an Apple silicon Mac with macOS
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```bash
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python -m pip install
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```
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```python
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## Usage
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Install the dedicated runtime on an Apple silicon Mac with macOS 14+ and Python 3.11+:
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```bash
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python -m pip install laya-mlx
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```
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```python
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manifest.json
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"encoder/config.json": {
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"sha256": "f23ae8ae701f5a43e186182e387aeef00b666daed18a946fc7c9ea827b00a8fa"
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"encoder/config.json": {
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