          self.require_labels()
          docs = [Doc(Vocab(), words=["hello"])]
          truths, _ = self._examples_to_truth(examples)
          self.set_output(len(self.labels))
          util.link_vectors_to_models(self.vocab)
          self.model.initialize(X=docs, Y=truths)
          if sgd is None:
              sgd = self.create_optimizer()
          return sgd
  
 
</s> remove         util.link_vectors_to_models(self.vocab)
 </s> add  </s> remove         util.link_vectors_to_models(self.vocab)
 </s> add  </s> remove         link_vectors_to_models(self.vocab)
 </s> add  </s> remove         link_vectors_to_models(self.vocab)
 </s> add  </s> remove     link_vectors_to_models(vocab)
 </s> add 
          self.require_labels()
          docs = [Doc(Vocab(), words=["hello"])]
          truths, _ = self._examples_to_truth(examples)
          self.set_output(len(self.labels))

          self.model.initialize(X=docs, Y=truths)
          if sgd is None:
              sgd = self.create_optimizer()
          return sgd
  
keep keep keep keep replace keep keep keep keep keep
 Clean up link_vectors_to_models unused stuff 
spacy/pipeline/textcat.py