title: Load gensim Word2Vec computed in Python 2, in Python 3
body: <p>I have a gensim Word2Vec model computed in Python 2 like that:</p>
  
  <pre><code>from gensim.models import Word2Vec
  from gensim.models.word2vec import LineSentence
  
  model = Word2Vec(LineSentence('enwiki.txt'), size=100, 
                   window=5, min_count=5, workers=15)
  model.save('w2v.model')
  </code></pre>
  
  <p>However, I need to use it in Python 3. If I try to load it, </p>
  
  <pre><code>import gensim
  from gensim.models import Word2Vec
  model = Word2Vec.load('w2v.model')
  </code></pre>
  
  <p>it results in an error:</p>
  
  <pre><code>UnicodeDecodeError: 'ascii' codec can't decode byte 0xf9 in position 0: ordinal not in range(128)
  </code></pre>
  
  <p>I suppose the problem is in differences in encoding between Python2 and Python3. Also it seems like gensim is using pickle to save/load models.</p>
  
  <p>Is there a way to set encoding/pickle options so that the model loads properly? Or maybe use some external tool to convert the model file?</p>
  
  <p>Recomputing it in Python 3 is not an option: it takes way too much time.</p>