oo.bar:4012'}`. The proxies are used on each request.
            revision (`str`, *optional*, defaults to `"main"`):
                The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
                git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any
                identifier allowed by git.
            return_unused_kwargs (`bool`, *optional*, defaults to `False`):
                If `False`, then this function returns just the final configuration object.

                If `True`, then this functions returns a `Tuple(config, unused_kwargs)` where *unused_kwargs* is a
                dictionary consisting of the key/value pairs whose keys are not configuration attributes: i.e., the
                part of `kwargs` which has not been used to update `config` and is otherwise ignored.
            trust_remote_code (`bool`, *optional*, defaults to `False`):
                Whether or not to allow for custom models defined on the Hub in their own modeling files. This option
                should only be set to `True` for repositories you trust and in which you have read the code, as it will
                execute code present on the Hub on your local machine.
            kwargs(additional keyword arguments, *optional*):
                The values in kwargs of any keys which are configuration attributes will be used to override the loaded
                values. Behavior concerning key/value pairs whose keys are *not* configuration attributes is controlled
                by the `return_unused_kwargs` keyword parameter.

        Examples:

        ```python
        >>> from transformers import AutoConfig

        >>> # Download configuration from huggingface.co and cache.
        >>> config = AutoConfig.from_pretrained("bert-base-uncased")

        >>> # Download configuration from huggingface.co (user-uploaded) and cache.
        >>> config = AutoConfig.from_pretrained("dbmdz/bert-base-german-cased")

        >>> # If configuration file is in a directory (e.g., was saved using *save_pretrained('./test/saved_model/')*).
        >>> config = AutoConfig.from_pretrained("./test/bert_saved_model/")

        >>> # Load a specific configuration file.
        >>> config = AutoConfig.from_pretrained("./test/bert_saved_model/my_configuration.json")

        >>> # Change some config attributes when loading a pretrained config.
        >>> config = AutoConfig.from_pretrained("bert-base-uncased", output_attentions=True, foo=False)
        >>> config.output_attentions
        True

        >>> config, unused_kwargs = AutoConfig.from_pretrained(
        ...     "bert-base-uncased", output_attentions=True, foo=False, return_unused_kwargs=True
        ... )
        >>> config.output_attentions
        True

        >>> unused_kwargs
        {'foo': False}
        ```TZ
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