code: def load(fname):
      
  
      content = _open(fname).read()
      if PY2:
        state = pickle.loads(content)
      else:
        state = pickle.loads(content, encoding='latin1')
      voc, vec = state
      if len(voc) == 2:
        words, counts = voc
        word_count = dict(zip(words, counts))
        vocab = CountedVocabulary(word_count=word_count)
      else:
        vocab = OrderedVocabulary(voc)
      return Embedding(vocabulary=vocab, vectors=vec)
docs: Load an embedding dump generated by `save`