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README.md
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---
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#
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WideResNet50 2 is a computer vision model trained on imagenet-1k representing an improvement of ResNet architecture. It was introduced in the paper [Wide Residual Networks](https://arxiv.org/abs/1605.07146).
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model.eval()
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embeds = model.features(x)
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```
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# Wide ResNet50 2
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WideResNet50 2 is a computer vision model trained on imagenet-1k representing an improvement of ResNet architecture. It was introduced in the paper [Wide Residual Networks](https://arxiv.org/abs/1605.07146).
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model.eval()
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embeds = model.features(x)
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```
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## Model Comparison
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Explore the metrics of this model in [mlx-image model results](https://github.com/riccardomusmeci/mlx-image/blob/main/results/results-imagenet-1k.csv).
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