使用cnSchema进行关系抽取报错 Model name 'bert-base-chinese' was not found in tokenizers model name list

[po-d]

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File "C:\Users\DuYH\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\tokenization_utils_base.py", line 1584, in from_pretrained raise EnvironmentError( OSError: Model name 'bert-base-chinese' was not found in tokenizers model name list (bert-base-uncased, bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, bert-base-multilingual-cased, bert-base-chinese, bert-base-german-cased, bert-large-uncased-whole-word-masking, bert-large-cased-whole-word-masking, bert-large-uncased-whole-word-masking-finetuned-squad, bert-large-cased-whole-word-masking-finetuned-squad, bert-base-cased-finetuned-mrpc, bert-base-german-dbmdz-cased, bert-base-german-dbmdz-uncased, TurkuNLP/bert-base-finnish-cased-v1, TurkuNLP/bert-base-finnish-uncased-v1, wietsedv/bert-base-dutch-cased). We assumed 'bert-base-chinese' was a path, a model identifier, or url to a directory containing vocabulary files named ['vocab.txt'] but couldn't find such vocabulary files at this path or url.

修改 predict.yaml中的参数fp为下载文件的路径，embedding.yaml中num_relations为51（关系个数）,config.yaml中的参数model为lm 这些都修改好了，fp为fp: 'C:/知识图谱/DeepKE-main/example/re/standard/re_bert.pth' 使用的是DeepKE(RE), BERT-wwm, Chinese（DeepKE(RE), RoBERTa-wwm-ext, Chinese网盘提取码错误

Environment (please complete the following information):

• OS: [e.g. mac / window] window
• Python Version [e.g. 3.6] 3.8

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[tlk1997]

lm的参数需要修改为对应的模型，比如下载使用的是bert模型，lm就需要改为chinese-bert-wwm

[po-d]

是修改DeepKE-main\example\re\standard\conf\model\lm.yaml文件中的lm_file还是model_name呢

[tlk1997]

lm_file 改为 hfl/chinese-bert-wwm 如果继续报错，则从huggingface下载下来模型，改为模型的路径