repvgg_b3#

holocron.models.repvgg_b3(pretrained: bool = False, checkpoint: Checkpoint | None = None, progress: bool = True, **kwargs: Any) → RepVGG[source]#

RepVGG-B3 from “RepVGG: Making VGG-style ConvNets Great Again”

Parameters:

  • pretrained – If True, returns a model pre-trained on ImageNette

  • checkpoint – If specified, the model’s parameters will be set to the checkpoint’s values

  • progress – If True, displays a progress bar of the download to stderr

  • kwargs – keyword args of _repvgg

Returns:

classification model

Return type:

torch.nn.Module