https://github.com/riccardomusmeci/mlx-image

\n

These are weights converted from timm/torchvision and ready to be used.

\n

How to install

\n

pip install mlx-image\n

\n

Models

\n

To load a model with pre-trained weights:

\n

from mlxim.model import create_model\n\n# loading weights from HuggingFace (https://huggingface.co/mlx-vision/resnet18-mlxim)\nmodel = create_model(\"resnet18\") # pretrained weights loaded from HF\n\n# loading weights from another HuggingFace model\nmodel = create_model(\"resnet18\", weights=\"hf://repo_id/filename\")\n\n# loading weights from local file\nmodel = create_model(\"resnet18\", weights=\"path/to/resnet18/model.safetensors\")\n

\n

ImageNet-1K Results

\n

Go to https://github.com/riccardomusmeci/mlx-image/blob/main/results/results-imagenet-1k.csv to check every model converted and its performance on ImageNet-1K with different settings.

\n

\n

TL;DR performance is comparable to the original models from PyTorch implementations.

\n

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