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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")
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