fix(Keras 3): argument order in Sequential

In Keras 2, arguments of keras.Sequential() were "layers" and "name".
In Keras 3, there is a new argument in second position: "layers", "trainable"
and "name".

To avoid confusion, we use keyword arguments.

deel/lip/model.py

@@ -58,7 +58,7 @@ def __init__(
             k_coef_lip (float): the Lipschitz coefficient to ensure globally on the
                 model.
         """
-        super(Sequential, self).__init__(layers, name)
+        super(Sequential, self).__init__(layers=layers, name=name)
         self.set_klip_factor(k_coef_lip)
 
     def build(self, input_shape=None):