title: How to load pre-trained LDA model to Jupiter Notebook?
body: <p>I trained the LDA model on my PC and saved it locally by using model.save() command. I can load this model and output topics in PyCharm, but when I try to load the same model in Jupiter Notebook I get an error.</p>
  
  <p>Did anyone encounter the same problem and fix it?
  Below is the full error output:</p>
  
  <pre><code>---------------------------------------------------------------------------
  ModuleNotFoundError                       Traceback (most recent call last)
  &lt;ipython-input-14-043e6d6083e2&gt; in &lt;module&gt;
        1 # Loading saved model
  ----&gt; 2 model = models.LdaModel.load('information_extraction/optimal_LDA3.model')
        3 # model_topics = model.show_topics(formatted=True)
        4 # pprint.pprint(model.print_topics(num_words=15))
  
  ~/anaconda3/lib/python3.7/site-packages/gensim/models/ldamodel.py in load(cls, fname, *args, **kwargs)
     1636         """
     1637         kwargs['mmap'] = kwargs.get('mmap', None)
  -&gt; 1638         result = super(LdaModel, cls).load(fname, *args, **kwargs)
     1639 
     1640         # check if `random_state` attribute has been set after main pickle load
  
  ~/anaconda3/lib/python3.7/site-packages/gensim/utils.py in load(cls, fname, mmap)
      424         compress, subname = SaveLoad._adapt_by_suffix(fname)
      425 
  --&gt; 426         obj = unpickle(fname)
      427         obj._load_specials(fname, mmap, compress, subname)
      428         logger.info("loaded %s", fname)
  
  ~/anaconda3/lib/python3.7/site-packages/gensim/utils.py in unpickle(fname)
     1382         # Because of loading from S3 load can't be used (missing readline in smart_open)
     1383         if sys.version_info &gt; (3, 0):
  -&gt; 1384             return _pickle.load(f, encoding='latin1')
     1385         else:
     1386             return _pickle.loads(f.read())
  
  ModuleNotFoundError: No module named 'numpy.random._pickle'
  </code></pre>