huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/mnt/petrelfs/zhanjun.p/mllm/models/bert-base-uncased'. Use `repo_type` argument if needed.

There is an error below.

2024-03-26 12:57:36.254249: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-03-26 12:57:36.254297: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-03-26 12:57:36.255652: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-03-26 12:57:37.344594: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Since the GPL-licensed package `unidecode` is not installed, using Python's `unicodedata` package which yields worse results.
 NeMo-text-processing :: INFO     :: Creating ClassifyFst grammars.
loading image tokenzier
Traceback (most recent call last):
  File "/content/AnyGPT/anygpt/src/infer/cli_infer_base_model.py", line 337, in <module>
    infer = AnyGPTInference(
  File "/content/AnyGPT/anygpt/src/infer/cli_infer_base_model.py", line 46, in __init__
    self.image_tokenizer = ImageTokenizer(model_path=image_tokenizer_path, load_diffusion=True,
  File "/content/AnyGPT/./seed2/seed_llama_tokenizer.py", line 39, in __init__
    model = Blip2QformerQuantizer.from_pretrained(pretrained_model_path=model_path,
  File "/content/AnyGPT/./seed2/seed_qformer/qformer_quantizer.py", line 354, in from_pretrained
    model = cls(
  File "/content/AnyGPT/./seed2/seed_qformer/qformer_quantizer.py", line 182, in __init__
    self.tokenizer = self.init_tokenizer()
  File "/content/AnyGPT/./seed2/seed_qformer/blip2.py", line 38, in init_tokenizer
    tokenizer = BertTokenizer.from_pretrained("/mnt/petrelfs/zhanjun.p/mllm/models/bert-base-uncased", truncation_side=truncation_side)
  File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 1940, in from_pretrained
    resolved_config_file = cached_file(
  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 429, in cached_file
    resolved_file = hf_hub_download(
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 111, in _inner_fn
    validate_repo_id(arg_value)
  File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py", line 159, in validate_repo_id
    raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/mnt/petrelfs/zhanjun.p/mllm/models/bert-base-uncased'. Use `repo_type` argument if needed.

OpenMOSS / AnyGPT

huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/mnt/petrelfs/zhanjun.p/mllm/models/bert-base-uncased'. Use `repo_type` argument if needed. #10