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sentencepiece unigramを日本語で学習
https://github.com/huggingface/tokenizers

sample

from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("if001/sentencepiece_ja", trust_remote_code=True)
print(tokenizer("hello world"))  

>> {'input_ids': [158, 8418, 1427, 15930, 866, 13782, 44, 15034, 1719, 16655, 8, 115, 5, 280, 17635, 94, 818, 2748, 1168, 1114], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}

print(tokenizer.tokenize('それは九月初旬のある蒸し暑い晩のことであった。私は、D坂の大通りの中程にある'))
>> ['それは', '九月', '初', '旬', 'のある', '蒸', 'し', '暑い', '晩', 'のことであった', '。', '私は', '、', 'D', '坂の', '大', '通り', 'の中', '程', 'にある']

データセット

https://huggingface.co/datasets/izumi-lab/wikinews-ja-20230728
https://huggingface.co/datasets/izumi-lab/wikinews-en-20230728
https://huggingface.co/datasets/if001/aozorabunko-clean-sin

settings

all_special_ids:  [1, 2, 3, 0, 4]
all_special_tokens:  ['<BOS>', '<EOS>', '<UNK>', '<PAD>', '<MASK>']
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