      shape = tuple(int(size) for size in next(f).split())
      vectors_data = numpy.zeros(shape=shape, dtype='f')
      vectors_keys = []
      for i, line in enumerate(tqdm(f)):
          line = line.rstrip()
          pieces = line.rsplit(' ', vectors_data.shape[1]+1)
          word = pieces.pop(0)
          if len(pieces) != vectors_data.shape[1]:
              print(word, repr(line))
              raise ValueError("Bad line in file")
          vectors_data[i] = numpy.asarray(pieces, dtype='f')
 
</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 
    prints("{} entries, {} vectors".format(lex_added, vec_added),
           title="Sucessfully compiled vocab")
 </s> add     prints(Messages.M039.format(entries=lex_added, vectors=vec_added),
           title=Messages.M038)
        pieces = line.split()
      shape = tuple(int(size) for size in next(f).split())
      vectors_data = numpy.zeros(shape=shape, dtype='f')
      vectors_keys = []
      for i, line in enumerate(tqdm(f)):
        pieces = line.split()
        pieces = line.split()
          word = pieces.pop(0)
          if len(pieces) != vectors_data.shape[1]:
              print(word, repr(line))
              raise ValueError("Bad line in file")
          vectors_data[i] = numpy.asarray(pieces, dtype='f')
keep keep keep keep replace replace keep keep keep keep keep
 Revert "Add support for .zip to init_model"

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