AssertionError: pretrained bert file does not exist

[gravity5212]

C:\Users\yinli\miniconda3\envs\bbcn\python.exe D:\实体\pytorch_bert_bilstm_crf_ner-main\main.py
{0: 'O', 1: 'B-dep', 2: 'I-dep', 3: 'E-dep', 4: 'S-dep', 5: 'B-dru', 6: 'I-dru', 7: 'E-dru', 8: 'S-dru', 9: 'B-equ', 10: 'I-equ', 11: 'E-equ', 12: 'S-equ', 13: 'B-bod', 14: 'I-bod', 15: 'E-bod', 16: 'S-bod', 17: 'B-ite', 18: 'I-ite', 19: 'E-ite', 20: 'S-ite', 21: 'B-mic', 22: 'I-mic', 23: 'E-mic', 24: 'S-mic', 25: 'B-pro', 26: 'I-pro', 27: 'E-pro', 28: 'S-pro', 29: 'B-sym', 30: 'I-sym', 31: 'E-sym', 32: 'S-sym', 33: 'B-dis', 34: 'I-dis', 35: 'E-dis', 36: 'S-dis'}
Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/bert-base-chinese/', crf_lr=0.03, data_dir='./data/CHIP2020', data_name='chip', dropout=0.3, dropout_prob=0.1, eval_batch_size=12, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1, max_seq_len=150, model_name='bert_bilstm_crf', num_layers=1, num_tags=37, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=3, use_crf='True', use_idcnn='False', use_kd='False', use_lstm='True', use_tensorboard='True', warmup_proportion=0.1, weight_decay=0.01)
Traceback (most recent call last):
File "D:\实体\pytorch_bert_bilstm_crf_ner-main\main.py", line 327, in
bertForNer = BertForNer(args, train_loader, dev_loader, dev_loader, id2query)
File "D:\实体\pytorch_bert_bilstm_crf_ner-main\main.py", line 36, in init
model = bert_ner_model.BertNerModel(args)
File "D:\实体\pytorch_bert_bilstm_crf_ner-main\bert_ner_model.py", line 201, in init
super(BertNerModel, self).init(bert_dir=args.bert_dir, dropout_prob=args.dropout_prob, model_name=args.model_name)
File "D:\实体\pytorch_bert_bilstm_crf_ner-main\bert_base_model.py", line 11, in init
assert os.path.exists(bert_dir) and os.path.exists(config_path),
AssertionError: pretrained bert file does not exist

Process finished with exit code 1
萌新提问，还麻烦大佬解答

[taishan1994]

预训练模型是否已经下载好了。