title: Save and load word embedding word2vec python
body: <p>I create and load a word embedding using this code:</p>
  
  <pre><code>model = Word2Vec(sentences,workers=4)
  model.save(modelName)
  model.wv.save_word2vec_format(vectorName+".bin",binary=True)
  
  model = Word2Vec.load(modelName)
  word_vectors = KeyedVectors.load_word2vec_format(vectorName+".bin", binary=True)
  </code></pre>
  
  <p>Why, for example, this code produces different output?</p>
  
  <pre><code>print(model.wv.most_similar("woman"))
  print(word_vectors.most_similar("woman"))
  </code></pre>
  
  <p>Outputs:</p>
  
  <pre><code>[('surprise', 0.529238224029541), ('cracked', 0.47902247309684753),..........
  [(u'surprise', 0.529238224029541), (u'cracked', 0.47902247309684753),........
  </code></pre>
  
  <p>In the second one there is the <code>u</code> in front of all the results</p>