Created
June 13, 2019 05:25
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| new_model = tf.keras.Sequential( model.layers[ 1 : ] ) | |
| new_model.save( 'android/no_embedding_model.h5' ) | |
| converter = tf.lite.TFLiteConverter.from_keras_model_file( 'android/no_embedding_model.h5') | |
| converter.post_training_quantize = True | |
| tflite_buffer = converter.convert() | |
| open( 'android/model.tflite' , 'wb' ).write( tflite_buffer ) |
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