| ```python | |
| import tempfile | |
| from tokenizers import Tokenizer, models, processors | |
| from transformers.tokenization_utils_fast import PreTrainedTokenizerFast | |
| vocab = [(chr(i), i) for i in range(256)] | |
| tokenizer = Tokenizer(models.Unigram(vocab)) | |
| tokenizer.add_special_tokens(["<bos>", "<eos>"]) | |
| tokenizer.post_processor = processors.TemplateProcessing( | |
| single="<bos> $0 <eos>", special_tokens=[("<bos>", 256), ("<eos>", 257)] | |
| ) | |
| with tempfile.NamedTemporaryFile() as f: | |
| tokenizer.save(f.name) | |
| real_tokenizer = PreTrainedTokenizerFast(tokenizer_file=f.name, eos_token="<eos>", bos_token="<bos>") | |
| real_tokenizer._tokenizer.save("dummy.json") | |
| ``` |