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
)