| ```python | |
| def DummyTok(model_max_length=4): | |
| import tempfile | |
| from tokenizers import Tokenizer, models | |
| from transformers.tokenization_utils_fast import PreTrainedTokenizerFast | |
| vocab = [(chr(i), i) for i in range(256)] | |
| tokenizer = Tokenizer(models.Unigram(vocab)) | |
| with tempfile.NamedTemporaryFile() as f: | |
| tokenizer.save(f.name) | |
| real_tokenizer = PreTrainedTokenizerFast( | |
| tokenizer_file=f.name, model_max_length=model_max_length | |
| ) | |
| real_tokenizer.save("dummy_tokenizer.json") | |
| return real_tokenizer | |
| ``` |