Instructions to use aac6fef/laya-multilingual-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aac6fef/laya-multilingual-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir laya-multilingual-mlx aac6fef/laya-multilingual-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 70dc6611fd5e2c7f0cd286a91b00ec7313ef20fcd1597b9101bbaf114dbedebd
- Size of remote file:
- 644 MB
- SHA256:
- 7fc5834af4d8fdfb268d272a9d1a66e5819a0daac98241651c4c888cc43adff1
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