title: Word2Vec compare vectors from different models with different sizes
body: <p>I have trained several word2vec models using gensim for different languages, but the <code>size</code> is different for each of them.</p>
  
  <p>vectors are obtained like this:</p>
  
  <pre><code>vec_sp = word_vectors_sp.get_vector("uno")
  </code></pre>
  
  <p>How to use <code>vec_sp</code> as input for different model with different vector size:</p>
  
  <pre><code>word_vectors_en.most_similar(positive=[vec_sp], topn=1)
  </code></pre>
  
  <p>to obtain the corresponding word in the second model</p>