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Runtime error

The hugging face demo isn't working right now :(
Here's the error:

Exit code: 1. Reason: model
    model = build_model(args)
  File "/home/user/app/./GroundingDINO/groundingdino/models/__init__.py", line 17, in build_model
    model = build_func(args)
  File "/home/user/app/./GroundingDINO/groundingdino/models/GroundingDINO/groundingdino.py", line 372, in build_groundingdino
    model = GroundingDINO(
  File "/home/user/app/./GroundingDINO/groundingdino/models/GroundingDINO/groundingdino.py", line 107, in __init__
    self.tokenizer = get_tokenlizer.get_tokenlizer(text_encoder_type)
  File "/home/user/app/./GroundingDINO/groundingdino/util/get_tokenlizer.py", line 17, in get_tokenlizer
    tokenizer = AutoTokenizer.from_pretrained(text_encoder_type)
  File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 854, in from_pretrained
    config = AutoConfig.from_pretrained(
  File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 976, in from_pretrained
    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/configuration_utils.py", line 632, in get_config_dict
    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
    resolved_config_file = cached_file(
  File "/home/user/.pyenv/versions/3.10.14/lib/python3.10/site-packages/transformers/utils/hub.py", line 445, in cached_file
    raise EnvironmentError(
OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like bert-base-uncased is not the path to a directory containing a file named config.json.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.