title: Why does Gensim reject to load supervised model dict built by Fasttext (Facebook) library?
body: <p>I was thinking underlying dictionary are the same for both supervised (classification) and unsupervised(Word Embedding). I want to analyze the classification model (word vectors) that I built for supervised problem using Gensim. But I got following error. I know <strong>Gensim has not implemented Supervised learning</strong> part of Fastext and only focusing on Word Embedding. But I just want to load the dictionary to analyze. Any pointers?</p>
  <pre><code>Traceback (most recent call last):
    File &quot;fasttext_model_analysis.py&quot;, line 2, in &lt;module&gt;
      model = FastText.load_fasttext_format('model_ups_tickets_rca.bin')
    File &quot;/usr/local/lib/python3.5/dist-packages/gensim/models/deprecated/fasttext_wrapper.py&quot;, line 274, in load_fasttext_format
      model.load_binary_data(encoding=encoding)
    File &quot;/usr/local/lib/python3.5/dist-packages/gensim/models/deprecated/fasttext_wrapper.py&quot;, line 301, in load_binary_data
      self.load_dict(f, encoding=encoding)
    File &quot;/usr/local/lib/python3.5/dist-packages/gensim/models/deprecated/fasttext_wrapper.py&quot;, line 332, in load_dict
      raise NotImplementedError(&quot;Supervised fastText models are not supported&quot;)
  NotImplementedError: Supervised fastText models are not supported
  </code></pre>