[pre-commit.ci] pre-commit autoupdate (#32)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/pre-commit/pre-commit-hooks: v2.3.0 → v4.4.0](https://github.com/pre-commit/pre-commit-hooks/compare/v2.3.0...v4.4.0)
- [github.com/astral-sh/ruff-pre-commit: v0.0.280 → v0.0.290](https://github.com/astral-sh/ruff-pre-commit/compare/v0.0.280...v0.0.290)
- [github.com/psf/black: 22.12.0 → 23.9.1](https://github.com/psf/black/compare/22.12.0...23.9.1)
- [github.com/codespell-project/codespell: v2.2.4 → v2.2.5](https://github.com/codespell-project/codespell/compare/v2.2.4...v2.2.5)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

bert/bert-base-japanese-v3/vocab.txt

@@ -13,7 +13,7 @@
 [unused7]
 [unused8]
 [unused9]
- 
+
 !
 "
 #

bert/chinese-roberta-wwm-ext-large/README.md

@@ -1,5 +1,5 @@
 ---
-language: 
+language:
 - zh
 tags:
 - bert
@@ -9,9 +9,9 @@ license: "apache-2.0"
 # Please use 'Bert' related functions to load this model!
 
 ## Chinese BERT with Whole Word Masking
-For further accelerating Chinese natural language processing, we provide **Chinese pre-trained BERT with Whole Word Masking**. 
+For further accelerating Chinese natural language processing, we provide **Chinese pre-trained BERT with Whole Word Masking**.
 
-**[Pre-Training with Whole Word Masking for Chinese BERT](https://arxiv.org/abs/1906.08101)**  
+**[Pre-Training with Whole Word Masking for Chinese BERT](https://arxiv.org/abs/1906.08101)**
 Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu
 
 This repository is developed based on：https://github.com/google-research/bert
@@ -46,7 +46,7 @@ If you find the technical report or resource is useful, please cite the followin
     pages = "657--668",
 }
 ```
-- Secondary: https://arxiv.org/abs/1906.08101  
+- Secondary: https://arxiv.org/abs/1906.08101
 ```
 @article{chinese-bert-wwm,
   title={Pre-Training with Whole Word Masking for Chinese BERT},
@@ -54,4 +54,4 @@ If you find the technical report or resource is useful, please cite the followin
   journal={arXiv preprint arXiv:1906.08101},
   year={2019}
  }
-```
+```

bert/chinese-roberta-wwm-ext-large/added_tokens.json

@@ -1 +1 @@
-{}
+{}

bert/chinese-roberta-wwm-ext-large/special_tokens_map.json

@@ -1 +1 @@
-{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

bert/chinese-roberta-wwm-ext-large/tokenizer_config.json

@@ -1 +1 @@
-{"init_inputs": []}
+{"init_inputs": []}