convnext_large¶

torchvision.models.convnext_large(*, weights: Optional[ConvNeXt_Large_Weights] = None, progress: bool = True, **kwargs: Any) → ConvNeXt[source]¶

ConvNeXt Large model architecture from the A ConvNet for the 2020s paper.

Parameters:

weights (ConvNeXt_Large_Weights, optional) – The pretrained weights to use. See ConvNeXt_Large_Weights below for more details and possible values. By default, no pre-trained weights are used.
progress (bool, optional) – If True, displays a progress bar of the download to stderr. Default is True.
**kwargs – parameters passed to the torchvision.models.convnext.ConvNext base class. Please refer to the source code for more details about this class.

class torchvision.models.ConvNeXt_Large_Weights(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]¶

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