从本地加载 huggingface 模型报错,大佬帮忙看看

报错信息如下

 File "/root/app/app.py", line 9, in <module> model = ORTModelForSequenceClassification.from_pretrained(file_name, local_files_Only=True, force_download=False, File "/opt/conda/lib/python3.9/site-packages/optimum/modeling_base.py", line 183, in from_pretrained config_file = hf_hub_download( File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/file_download.py", line 1022, in hf_hub_download cache_dir, repo_folder_name(repo_id=repo_id, repo_type=repo_type) File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 92, in _inner_fn validate_repo_id(arg_value) File "/opt/conda/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 136, in validate_repo_id raise HFValidationError( huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/root/app/emoji.onnx'. Use `repo_type` argument if needed. 

代码如下

file_name = "/root/app/emoji.onnx" model = ORTModelForSequenceClassification.from_pretrained(file_name, local_files_Only=True, force_download=False,repo_type='local') tokenizer = AutoTokenizer.from_pretrained(file_name, local_files_Only=True, force_download=False, repo_type='local') onnx_classifier = pipeline( task="text-classification", model=model, tokenizer=tokenizer, top_k=None, function_to_apply="sigmoid", # optional as is the default for the task )