title: How can a Word2Vec pretrained model be loaded in Gensim faster?
body: <p>I'm loading the model using:</p>
  <pre><code>model = gensim.models.KeyedVectors.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True) 
  </code></pre>
  <p>Now every time i run the file in Pycharm, it loads the model again.</p>
  <p>So, is there a way to load it once and be available whenever i run things like  <code>model['king']</code>  and <code>model.doesnt_match(&quot;house garage store dog&quot;.split())</code></p>
  <p>because it takes alot of time whenever i wana check the similarity or words that don't match.
  When i ran <code>model.most_similar('finance')</code> it was really slow and the whole laptop freezed for like 2 min. So, is there a way to make things faster, 'cause i wana use it in my project, but i can't let the user wait for this long.</p>
  <p>Any suggestions?</p>