Instructions to use mlx-vision/resnet18-mlxim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mlx-image
How to use mlx-vision/resnet18-mlxim with mlx-image:
from mlxim.model import create_model model = create_model(mlx-vision/resnet18-mlxim)
- MLX
How to use mlx-vision/resnet18-mlxim with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir resnet18-mlxim mlx-vision/resnet18-mlxim
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Upload resnet18.npz
Browse files- resnet18.npz +3 -0
resnet18.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:a66876b5cbd6555f2f9937e8c02e963b29ad1fb861078810a9d7c89bca5829ce
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size 46820732
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