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In [1]: import torch from transformers import AutoModel,AutoTokenizer, BertTokenizer print(torch.__version__) torch.set_grad_enabled(False) 1.6.0 Out[1]: In [2]: # 모델 저장하기 , Store the model we want to use MODEL_NAME = "bert-base-cased" # We need to create the model and tokenizer model = AutoModel.from_pretrained(MODEL_NAME) tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME) print('model : ',m..

python 3.5 tensorflow 1.12.1 bert-serving-server 1.9.1 bert-serving-cline 1.9.1 1.BERT 클라이언트와 서버 설정 pip install bert-serving-server # server pip install bert-serving-client # client, bert-serving-start -model_dir chinese_L-12_H-768_A-12 -num_worker=1 bert-serving-start -model_dir /D:app_lib/bert_lib /chinese_L-12_H-768_A-12/ -num_worker=2 D:\app_src\anaconda\04-srcTest\test_bert\chinese_L-12_H-7..