You can easily export your model the best model found by AutoKeras as a Keras Model.
from tensorflow.keras.datasets import mnist import autokeras as ak (x_train, y_train), (x_test, y_test) = mnist.load_data() # Initialize the image classifier. clf = ak.ImageClassifier(max_trials=10) # It tries 10 different models. # Feed the image classifier with training data. clf.fit(x_train, y_train) # Export as a Keras Model. model = clf.export_model() print(type(model)) # <class 'tensorflow.python.keras.engine.training.Model'>