Dear @paulinpaloalto,
working on alpaca model I have used
inputs = tf.keras.Input(shape=input_shape)
x = data_augmentation(inputs)
x = preprocess_input(x)
x = base_model(x, training=False) and i am getting error as
I looked into the model that i created and saw that shape of my functional layer was (Funct (None, None, None, 1280)
Here is the summery of the model i created…