Create README

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

README.md

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