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authorLaurent Mazare <laurent.mazare@gmail.com>2024-01-12 09:59:29 +0100
committerGitHub <noreply@github.com>2024-01-12 09:59:29 +0100
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Mention VGG in the readme. (#1573)
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# candle-repvgg
-A candle implementation of inference using a pre-trained [repvgg](https://arxiv.org/abs/2101.03697).
-This uses a classification head trained on the ImageNet dataset and returns the
+[RepVGG: Making VGG-style ConvNets Great Again](https://arxiv.org/abs/2101.03697).
+
+This candle implementation uses a pre-trained RepVGG network for inference. The
+classification head has been trained on the ImageNet dataset and returns the
probabilities for the top-5 classes.
## Running an example