.FastVision.ModelsXResNet

			XResNet(expansion, layers; c_in = 3, ndim = 2)

Create an XResNet model backbone following the implementation in fastai .

• c_in::Int = 3: The number of input channels, e.g. 1 for grayscale images and 3 for RGB images

• ndim::Int = 2: The number of dimensions for the convolutional and pooling layers, e.g. 2 for 2D input images and 3 for 3D volumes.