感谢您分享的模型代码，当我复现您的代码时，在emb_method=“bert”时，报了错？

[YeNiTing]

[YeNiTing]

错误为：； Traceback (most recent call last): File "main.py", line 108, in fire.Fire() File "D:\software\Anaconda3\envs\ynt2\lib\site-packages\fire\core.py", line 138, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "D:\software\Anaconda3\envs\ynt2\lib\site-packages\fire\core.py", line 468, in _Fire target=component.name) File "D:\software\Anaconda3\envs\ynt2\lib\site-packages\fire\core.py", line 672, in _CallAndUpdateTrace component = fn(*varargs, **kwargs) File "main.py", line 69, in train output = model(x) File "D:\software\Anaconda3\envs\ynt2\lib\site-packages\torch\nn\modules\module.py", line 550, in call result = self.forward(*input, **kwargs) File "C:\Users\YNT\Desktop\重要文件夹\数据集\EMLo相关\pytorch_bert_elmo_example-master\model.py", line 40, in forward word_embs = self.get_bert(x) File "C:\Users\YNT\Desktop\重要文件夹\数据集\EMLo相关\pytorch_bert_elmo_example-master\model.py", line 90, in get_bert ids = self.tokenizer(sentence_lists, padding=True, return_tensors="pt") TypeError: 'BertTokenizer' object is not callable

可是发现您代码里并不存在BertTokenizer对象？

[ShomyLiu]

你好， 这个应该是版本问题。 Tokenizer这几次更新，导致API变化。 tokenizer定义在上面： https://github.com/ShomyLiu/pytorch_bert_elmo_example/blob/master/model.py#L49

[YeNiTing]

请问您transformers的版本为多少？

[ShomyLiu]

tokenizers 0.8.1rc1 transformers 3.0.2

[YeNiTing]

感谢！