title: Is it possible to fine tune FastText models
body: <p>I'm working on a project for text similarity using FastText, the basic example I have found to train a model is:</p>
  
  <pre><code>from gensim.models import FastText
  
  model = FastText(tokens, size=100, window=3, min_count=1, iter=10, sorted_vocab=1)
  </code></pre>
  
  <p>As I understand it, since I'm specifying the vector and ngram size,  the model is been trained from scratch here and if the dataset is small I would spect great resutls.</p>
  
  <p>The other option I have found is to load the original Wikipedia model which is a huge file: </p>
  
  <pre><code>from gensim.models.wrappers import FastText
  
  model = FastText.load_fasttext_format('wiki.simple')
  </code></pre>
  
  <p>My question is, can I load the Wikipedia or any other model, and fine tune it with my dataset? </p>