resnext101_32x8d#

holocron.models.resnext101_32x8d(pretrained: bool = False, checkpoint: Checkpoint | None = None, progress: bool = True, **kwargs: Any) → ResNet[source]#

ResNeXt-101 from “Aggregated Residual Transformations for Deep Neural Networks”

Parameters:

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

  • checkpoint – If specified, load that checkpoint on the model

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

  • kwargs – keyword args of _resnet

Returns:

classification model

Return type:

torch.nn.Module