我试图通过在pytorch中使用BertModel类加载预训练的模型。
我在手电筒下有_six.py,但它仍然显示模块“手电筒”没有属性“ _six”
import torch
from pytorch_pretrained_bert import BertTokenizer, BertModel, BertForMaskedLM
# Load pre-trained model (weights)
model = BertModel.from_pretrained('bert-base-uncased')
model.eval()
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~/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in __setattr__(self, name, value)
551 .format(torch.typename(value), name))
552 modules[name] = value
--> 553 else:
554 buffers = self.__dict__.get('_buffers')
555 if buffers is not None and name in buffers:
~/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py in register_parameter(self, name, param)
140 raise KeyError("parameter name can't be empty string \"\"")
141 elif hasattr(self, name) and name not in self._parameters:
--> 142 raise KeyError("attribute '{}' already exists".format(name))
143
144 if param is None:
AttributeError: module 'torch' has no attribute '_six'
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当我尝试加载 CIFAR10 数据集时出现此错误。简单的重启并不能解决问题!我发现对于某些(conda)环境它工作得很好。
更新 torch 和 torchvision 有助于:
pip install --upgrade torch torchvision
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