clean-up print statement (#249)

Author: stephantul

model2vec/model.py

@@ -130,8 +130,6 @@ def tokenize(self, sentences: Sequence[str], max_length: int | None = None) -> l
             m = max_length * self.median_token_length
             sentences = [sentence[:m] for sentence in sentences]
 
-        max_len = max([len(sentence) for sentence in sentences])
-        # self.tokenizer.model.max_input_chars_per_word = max_len + 1
         if self._can_encode_fast:
             encodings: list[Encoding] = self.tokenizer.encode_batch_fast(sentences, add_special_tokens=False)
         else: