title: fine tuning pre-trained word2vec Google News
body: <p>I am currently using the Word2Vec model trained on Google News Corpus (from <a href="https://code.google.com/archive/p/word2vec/" rel="nofollow noreferrer">here</a>)
  Since this is trained on news only until 2013, I need to updated the vectors and also add new words in the vocabulary based on the news coming after 2013. </p>
  
  <p>Suppose I have a new corpus of news after 2013. Can I re-train or fine tune or update the Google News Word2Vec model? Can it be done using Gensim? Can it be done using FastText?</p>