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How to create vocab.txt ? [BERT][ELECTRA][Tokenizers]

pip install tokenizers
from tokenizers import BertWordPieceTokenizer
from glob import glob
import json

txt_path = '/path/to/your/txts/*.txt'
txts = glob(txt_path)

tokenizer = BertWordPieceTokenizer(
    clean_text=True,
    handle_chinese_chars=False,
    strip_accents=False,
    lowercase=False,
    )

trainer = tokenizer.train( 
    txts,
    vocab_size=32000,
    min_frequency=2,
    show_progress=True,
    # special_tokens=['[PAD]', '[UNK]', '[CLS]', '[SEP]', '[MASK]'],
    limit_alphabet=1000,
    wordpieces_prefix="##"
)

tokenizer.save("./vocab.json", pretty=True)

# vocab.json to vocab.txt
with open('./vocab.json') as f:
    d = json.load(f)
    
vocab = d['model']['vocab']

vocab_txt = ''

for k, v in vocab.items():
    vocab_txt += k
    vocab_txt += '\n'
    
vocab_txt = vocab_txt[:-1]
    
with open('./vocab.txt', 'wt') as f:
    f.write(vocab_txt)

References

https://github.com/huggingface/tokenizers/tree/master/bindings/python

https://github.com/stefan-it/turkish-bert/blob/master/CHEATSHEET.md#cased-model

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