请教一下，chatglm本地部署时 权重文件夹下载好并放在工程文件夹里，然后在bridge_chatglm.py里面改了路径，可是总是不能导入权重，bug如下，

[dream-desktop]

Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a configuration with custom code to ensure no malicious code has been contributed in a newer revision. Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision. Process GetGLMHandle-1: Traceback (most recent call last): File "e:\tensorflow-learning\github\chatgpt_academic-master\request_llm\bridge_chatglm.py", line 45, in run self.chatglm_model = AutoModel.from_pretrained(model_path, trust_remote_code=True).float() File "E:\python-practice\python_envs\Python38_novelAI\lib\site-packages\transformers\models\auto\auto_factory.py", line 440, in from_pretrained model_class = get_class_from_dynamic_module( File "E:\python-practice\python_envs\Python38_novelAI\lib\site-packages\transformers\dynamic_module_utils.py", line 384, in get_class_from_dynamic_module return get_class_in_module(class_name, final_module.replace(".py", "")) File "E:\python-practice\python_envs\Python38_novelAI\lib\site-packages\transformers\dynamic_module_utils.py", line 154, in get_class_in_module module = importlib.import_module(module_path) File "E:\python-practice\python_envs\Python38_novelAI\lib\importlib_init_.py", line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "", line 1014, in _gcd_import File "", line 991, in _find_and_load File "", line 975, in _find_and_load_unlocked File "", line 671, in _load_unlocked File "", line 783, in exec_module File "", line 219, in _call_with_frames_removed File "C:\Users\Administrator/.cache\huggingface\modules\transformers_modules\local\modeling_chatglm.py", line 30, in
from transformers.generation.logits_process import LogitsProcessor ModuleNotFoundError: No module named 'transformers.generation'

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "E:\python-practice\python_envs\Python38_novelAI\lib\multiprocessing\process.py", line 315, in _bootstrap self.run() File "e:\tensorflow-learning\github\chatgpt_academic-master\request_llm\bridge_chatglm.py", line 56, in run raise RuntimeError("不能正常加载ChatGLM的参数！") RuntimeError: 不能正常加载ChatGLM的参数！``