EuroPython2022/Mask-Language-Modeling-Using-Pytorch
1
1{2 "cls_token": "[CLS]",3 "do_basic_tokenize": true,4 "do_lower_case": true,5 "mask_token": "[MASK]",6 "model_max_length": 512,7 "name_or_path": "bert-base-uncased",8 "never_split": null,9 "pad_token": "[PAD]",10 "sep_token": "[SEP]",11 "special_tokens_map_file": null,12 "strip_accents": null,13 "tokenize_chinese_chars": true,14 "tokenizer_class": "BertTokenizer",15 "unk_token": "[UNK]"16}17 