          nlp.vocab.vectors = Vectors(data=vectors_data, keys=vector_keys)
      if prune_vectors >= 1:
          nlp.vocab.prune_vectors(prune_vectors)
      vec_added = len(nlp.vocab.vectors)
  
      prints("{} entries, {} vectors".format(lex_added, vec_added),
             title="Sucessfully compiled vocab")
      return nlp
  
  
  def read_vectors(vectors_loc):
      print("Reading vectors from %s" % vectors_loc)
 
</s> remove     elif loc.parts[-1].endswith('zip'):
        zip_file = zipfile.ZipFile(str(loc))
        names = zip_file.namelist()
        file_ = zip_file.open(names[0])
        return (line.decode('utf8') for line in file_)
 </s> add  </s> remove     print("Open loc")
 </s> add  </s> remove         prints(freqs_loc, title="Can't find words frequencies file", exits=1)
 </s> add         prints(freqs_loc, title=Messages.M037, exits=1) </s> remove         line = line.rstrip()
        pieces = line.rsplit(' ', vectors_data.shape[1]+1)
 </s> add         pieces = line.split()
    prints(Messages.M039.format(entries=lex_added, vectors=vec_added),
           title=Messages.M038)
          nlp.vocab.vectors = Vectors(data=vectors_data, keys=vector_keys)
      if prune_vectors >= 1:
          nlp.vocab.prune_vectors(prune_vectors)
      vec_added = len(nlp.vocab.vectors)
    prints(Messages.M039.format(entries=lex_added, vectors=vec_added),
           title=Messages.M038)
    prints(Messages.M039.format(entries=lex_added, vectors=vec_added),
           title=Messages.M038)
    prints(Messages.M039.format(entries=lex_added, vectors=vec_added),
           title=Messages.M038)
      return nlp
  
  
  def read_vectors(vectors_loc):
      print("Reading vectors from %s" % vectors_loc)
keep keep keep keep replace replace replace keep keep keep keep keep
 Revert "Add support for .zip to init_model"

This reverts commit 7ee880a0ade4c690afe74eaf09e40818ccc2a470. 
spacy/cli/init_model.py