The bias parameter is automatically added to nn.Linear, if you don’t explicitly set bias=False in its creation.
To add a regularization term for the weight parameter, you could manually add it to the loss:
output = model(input)
loss = criterion(output, target)
loss = loss + torch.norm(model.layer.weight, p=2)