convnext_nano¶ holocron.models.convnext_nano(pretrained: bool = False, checkpoint: Checkpoint | None = None, progress: bool = True, **kwargs: Any) → ConvNeXt[source]¶ ConvNeXt-Nano variant of Ross Wightman inspired by “A ConvNet for the 2020s” Parameters: pretrained (bool) – 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 (bool) – If True, displays a progress bar of the download to stderr kwargs – keyword args of _convnext Returns: classification model Return type: torch.nn.Module