Windows下Donut训练遇SYMLINK/OSError：文件存在却提示缺失

• 环境：Windows 11最新版本，conda虚拟环境，已开启Windows开发模式，以管理员身份启动Anaconda与CMD
• 操作流程：使用synthDOG工具生成语料，执行命令python train.py --config config/base.yaml --exp_version "base"，基于Donut训练新语言

Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\envs\Donut\lib\site-packages\transformers\tokenization_utils_base.py", line 1958, in _from_pretrained
    tokenizer = cls(*init_inputs, **init_kwargs)
  File "C:\ProgramData\Anaconda3\envs\Donut\lib\site-packages\transformers\models\xlm_roberta\tokenization_xlm_roberta.py", line 168, in __init__
    self.sp_model.Load(str(vocab_file))
  File "C:\ProgramData\Anaconda3\envs\Donut\lib\site-packages\sentencepiece\__init__.py", line 905, in Load
    return self.LoadFromFile(model_file)
  File "C:\ProgramData\Anaconda3\envs\Donut\lib\site-packages\sentencepiece\__init__.py", line 310, in LoadFromFile
    return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg)
OSError: Not found: "C:\Users\me\.cache\models--naver-clova-ix--donut-base\snapshots\a959cf33c20e09215873e338299c900f57047c61\sentencepiece.bpe.model": No such file or directory Error #2

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\me\Documents\Kontron\donut-master\train.py", line 149, in <module>
    train(config)
  File "C:\Users\me\Documents\Kontron\donut-master\train.py", line 57, in train
    model_module = DonutModelPLModule(config)
  File "C:\Users\me\Documents\Kontron\donut-master\lightning_module.py", line 30, in __init__
    self.model = DonutModel.from_pretrained(
  File "C:\Users\me\Documents\Kontron\donut-master\donut\model.py", line 594, in from_pretrained
    model = super(DonutModel, cls).from_pretrained(pretrained_model_name_or_path, revision="official", *model_args, **kwargs)
  File "C:\ProgramData\Anaconda3\envs\Donut\lib\site-packages\transformers\modeling_utils.py", line 2498, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File "C:\Users\me\Documents\Kontron\donut-master\donut\model.py", line 390, in __init__
    self.decoder = BARTDecoder(
  File "C:\Users\me\Documents\Kontron\donut-master\donut\model.py", line 159, in __init__
    self.tokenizer = XLMRobertaTokenizer.from_pretrained(
  File "C:\ProgramData\Anaconda3\envs\Donut\lib\site-packages\transformers\tokenization_utils_base.py", line 1804, in from_pretrained
    return cls._from_pretrained(
  File "C:\ProgramData\Anaconda3\envs\Donut\lib\site-packages\transformers\tokenization_utils_base.py", line 1960, in _from_pretrained
    raise OSError(
OSError: Unable to load vocabulary from file. Please check that the provided vocabulary is accessible and not corrupted.

• 默认运行时缓存路径存在斜杠混用问题，手动修改缓存后，下载的模型文件夹仅包含0KB的SYMLINK文件
• 手动添加所有模型文件后，路径仍不被程序识别（当前路径已无斜杠混用问题）
• 但将错误栈中的路径复制到Pythonwith open()命令中，却能正常打开对应文件

内容的提问来源于stack exchange，提问作者lte__