code: def get_sentence_vector(self, text):
          
          if text.find('\n') != -1:
              raise ValueError(
                  "predict processes one line at a time (remove \'\\n\')"
              )
          text += "\n"
          dim = self.get_dimension()
          b = fasttext.Vector(dim)
          self.f.getSentenceVector(b, text)
          return np.array(b)
docs: Given a string, get a single vector represenation. This function
          assumes to be given a single line of text. We split words on
          whitespace (space, newline, tab, vertical tab) and the control
          characters carriage return, formfeed and the null character.