title: Is there a way to use fastText's word representation process in parallel?
body: <p>I am new to <a href="https://fasttext.cc/docs/en/support.html" rel="nofollow noreferrer">fastText</a>, a library for efficient learning of word representations and sentence classification. I am trying to <a href="https://fasttext.cc/docs/en/unsupervised-tutorial.html" rel="nofollow noreferrer">generate word-vector for huge data set</a>. But in single process it's taking significantly long time.</p>
  
  <p>So let me put my questions clearly:</p>
  
  <ul>
  <li>Are there any options which I can use to speedup the single fastText process?</li>
  <li>Is there any way to generate word-vector in parallel fastText processes?</li>
  <li>Are there any other implementation or workaround available which can solve the problem, as I read <a href="https://fasttext.cc/docs/en/faqs.html" rel="nofollow noreferrer">caffe2 implementation is available</a>, but I am unable to find it.</li>
  </ul>
  
  <p>Thanks</p>