import tensorflow as tf
model = tf.keras.models.load_model(“../mymodel.keras”)
model.compile(optimizer=’adam’, loss=’sparse_categorical_crossentropy’, metrics=[‘accuracy’])
model.save(‘saved_model.keras’)
model = tf.keras.models.load_model(‘saved_model.keras’)
model.compile(optimizer=’adam’, loss=’sparse_categorical_crossentropy’, metrics=[‘accuracy’])
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()
—————————————————ERROR—————————
AttributeError: ‘Sequential’ object has no attribute ‘_get_save_spec’
I didn’t correct answer for my code.
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