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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
@@ -46,12 +46,12 @@ 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},
   author={Cui, Yiming and Che, Wanxiang and Liu, Ting and Qin, Bing and Yang, Ziqing and Wang, Shijin and Hu, Guoping},
   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": []}