Thank you! @Caruso
class MyModel(nn.Module):
    
    def __init__(self):
        super(MyModel, self).__init__()
        self.backbone = models.vgg16(pretrained=use_pretrained)
        self.backbone.classifier[6] = nn.Linear(in_features=4096, out_features=2)
        self.fv1 = nn.Linear(in_features=2, out_features=2)
        self.fv2 = nn.Linear(in_features=2, out_features=2)
    
    def forward(self, x):
        x = self.backbone(x)
        x = self.fv1(x)
        x = self.fv2(x)
        return x

This code goes well! Thank you very much