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design-system-detector's Issues

Can't Load Models in Tensorflow

Thanks so much for quick response on dusskapark/zeplin-ml/issues/1!
I'm having a problem loading the models.
If I try to load using tf.keras.models.load_model("rico/models/mobilenetv2-50k/saved-model/saved_model"), it throws error below.

WARNING:tensorflow:SavedModel saved prior to TF 2.5 detected when loading Keras model. Please ensure that you are saving the model with model.save() or tf.keras.models.save_model(), *NOT* tf.saved_model.save(). To confirm, there should be a file named "keras_metadata.pb" in the SavedModel directory.
ValueError: Unable to create a Keras model from SavedModel at design-system-detector/rico/models/mobilenetv2-50k/saved-model/saved_model. This SavedModel was exported with `tf.saved_model.save`, and lacks the Keras metadata file. Please save your Keras model by calling `model.save` or `tf.keras.models.save_model`.
 Note that you can still load this SavedModel with `tf.saved_model.load`.

If I load with tf.saved_model.load, it just returns _UserObject, and I can't run model.predict.
AttributeError: '_UserObject' object has no attribute 'predict'
Is that possible for you to resave models, so people can load them in recent Tensorflow?
Thanks for your help!

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