text: import argparse
  import pickle as pkl
  
  from keras.models import load_model
  from keras.initializers import glorot_normal
  from keras_contrib.layers import CRF
  from keras_contrib.losses import crf_loss
  from optimizer import NormalizedOptimizer
  
  if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('--model-path', required=True)
    args = parser.parse_args()
  
    custom_objects = {
      'GlorotNormal': glorot_normal(),
      'CRF': CRF,
      'crf_loss': crf_loss,
      'NormalizedOptimizer': NormalizedOptimizer
    }
    model = load_model(args.model_path, custom_objects=custom_objects)
  
    model.summary()
  
    embeddings = model.layers[1].get_weights()[0]
  
    with open('embeddings.pkl', 'wb') as file:
      pkl.dump(embeddings, file)
  