(env) (base) PS D:\MiniGPT-4> python demo.py --cfg-path eval_configs/minigpt4_eval.yaml Initializing Chat Traceback (most recent call last): File "D:\MiniGPT-4\demo.py", line 57, in <module> model = model_cls.from_config(model_config).to('cuda:0') File "D:\MiniGPT-4\minigpt4\models\mini_gpt4.py", line 241, in from_config model = cls( File "D:\MiniGPT-4\minigpt4\models\mini_gpt4.py", line 44, in __init__ self.tokenizer = self.init_tokenizer() File "D:\MiniGPT-4\minigpt4\models\blip2.py", line 31, in init_tokenizer tokenizer = BertTokenizer.from_pretrained("bert-base-uncased") File "D:\MiniGPT-4\env\lib\site-packages\transformers\tokenization_utils_base.py", line 1795, in from_pretrained raise EnvironmentError( OSError: Can't load tokenizer for 'bert-base-uncased'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'bert-base-uncased' is the correct path to a directory containing all relevant files for a BertTokenizer tokenizer.
时间: 2023-10-08 12:03:57 浏览: 493
Miniconda3-py39_4.10.3-Linux-x86_64.zip
这个错误是由于无法加载'BertTokenizer'引起的。根据错误信息,它无法从本地或Hugging Face模型库中找到名为'bert-base-uncased'的tokenizer。
请确保你已经安装了相应的依赖项,并且可以从Hugging Face模型库中下载预训练的tokenizer。你可以使用以下命令安装必要的依赖项:
```
pip install transformers
```
如果你已经安装了`transformers`库但仍然遇到问题,可能是因为网络连接问题导致无法下载预训练模型。你可以尝试使用代理或手动下载所需的预训练模型。
另外,确保`bert-base-uncased`是正确的模型名称。你可以查看Hugging Face模型库以获取可用的模型名称和路径。
希望这些提示能帮助你解决问题。如果你有其他疑问,请随时提问。
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