docs: def get_ngrams(self, minimum, maximum, skip_sizes=None):
          """Returns a generator supplying the n-grams (`minimum` <= n
          <= `maximum`) for this text.
  
          Each iteration of the generator supplies a tuple consisting of
          the size of the n-grams and a `collections.Counter` of the
          n-grams.
  
          :param minimum: minimum n-gram size
          :type minimum: `int`
          :param maximum: maximum n-gram size
          :type maximum: `int`
          :param skip_sizes: sizes to not generate n-grams for
          :type skip_sizes: `list` of `int`
          :rtype: `generator`
  
          """
          skip_sizes = skip_sizes or []
          tokens = self.get_tokens()
          for size in range(minimum, maximum + 1):
              if size not in skip_sizes:
                  ngrams = collections.Counter(self._ngrams(tokens, size))
                  yield (size, ngrams)