vidore

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colqwen2-v0.1

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ILLUIN Vidore 80

Should there be a config.json? Following the example in the model card, but using the path to my local git clone of this repository:

model = ColQwen2.from_pretrained(
    <local-path>/colqwen2-v0.1,
    torch_dtype=torch.bfloat16,
    local_files_only=True,
    device_map="cuda:0").eval()

it gave me this error:

E 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 vidore/colqwen2-base is not the path to a directory containing a file named config.json.
E Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.

/ThirdParty/transformers/src/transformers/utils/hub.py:446: OSError

The longer error is here:
/ThirdParty/transformers/src/transformers/modeling_utils.py:3408: in from_pretrained
config, model_kwargs = cls.config_class.from_pretrained(
/ThirdParty/transformers/src/transformers/configuration_utils.py:538: in from_pretrained
config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
/ThirdParty/transformers/src/transformers/configuration_utils.py:567: in get_config_dict
config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
/ThirdParty/transformers/src/transformers/configuration_utils.py:626: in _get_config_dict
resolved_config_file = cached_file(

path_or_repo_id = 'vidore/colqwen2-base', filename = 'config.json', cache_dir = '/root/.cache/huggingface/hub', force_download = False, resume_download = None, proxies = None, token = None, revision = 'main'
local_files_only = True, subfolder = '', repo_type = None
user_agent = 'transformers/4.46.0.dev0; python/3.10.12; session_id/fec0e93eaa3d4fcd834ac43963b8395a; torch/2.4.0a0+07cecf4168.nv24.5; file_type/config; from_auto_class/False'
_raise_exceptions_for_gated_repo = True, _raise_exceptions_for_missing_entries = True, _raise_exceptions_for_connection_errors = True, _commit_hash = None, deprecated_kwargs = {}, use_auth_token = None
full_filename = 'config.json', resolved_file = None

def cached_file(
    path_or_repo_id: Union[str, os.PathLike],
    filename: str,
    cache_dir: Optional[Union[str, os.PathLike]] = None,
    force_download: bool = False,
    resume_download: Optional[bool] = None,
    proxies: Optional[Dict[str, str]] = None,
    token: Optional[Union[bool, str]] = None,
    revision: Optional[str] = None,
    local_files_only: bool = False,
    subfolder: str = "",
    repo_type: Optional[str] = None,
    user_agent: Optional[Union[str, Dict[str, str]]] = None,
    _raise_exceptions_for_gated_repo: bool = True,
    _raise_exceptions_for_missing_entries: bool = True,
    _raise_exceptions_for_connection_errors: bool = True,
    _commit_hash: Optional[str] = None,
    **deprecated_kwargs,
) -> Optional[str]:
    """
    Tries to locate a file in a local folder and repo, downloads and cache it if necessary.

    Args:
        path_or_repo_id (`str` or `os.PathLike`):
            This can be either:

            - a string, the *model id* of a model repo on huggingface.co.
            - a path to a *directory* potentially containing the file.
        filename (`str`):
            The name of the file to locate in `path_or_repo`.
        cache_dir (`str` or `os.PathLike`, *optional*):
            Path to a directory in which a downloaded pretrained model configuration should be cached if the standard
            cache should not be used.
        force_download (`bool`, *optional*, defaults to `False`):
            Whether or not to force to (re-)download the configuration files and override the cached versions if they
            exist.
        resume_download:
            Deprecated and ignored. All downloads are now resumed by default when possible.
            Will be removed in v5 of Transformers.
        proxies (`Dict[str, str]`, *optional*):
            A dictionary of proxy servers to use by protocol or endpoint, e.g., `{'http': 'foo.bar:3128',
            'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
        token (`str` or *bool*, *optional*):
            The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
            when running `huggingface-cli login` (stored in `~/.huggingface`).
        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.
        local_files_only (`bool`, *optional*, defaults to `False`):
            If `True`, will only try to load the tokenizer configuration from local files.
        subfolder (`str`, *optional*, defaults to `""`):
            In case the relevant files are located inside a subfolder of the model repo on huggingface.co, you can
            specify the folder name here.
        repo_type (`str`, *optional*):
            Specify the repo type (useful when downloading from a space for instance).

    <Tip>

    Passing `token=True` is required when you want to use a private model.

    </Tip>

    Returns:
        `Optional[str]`: Returns the resolved file (to the cache folder if downloaded from a repo).

    Examples:

    ```python
    # Download a model weight from the Hub and cache it.
    model_weights_file = cached_file("google-bert/bert-base-uncased", "pytorch_model.bin")
    ```
    """
    use_auth_token = deprecated_kwargs.pop("use_auth_token", None)
    if use_auth_token is not None:
        warnings.warn(
            "The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.",
            FutureWarning,
        )
        if token is not None:
            raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
        token = use_auth_token

    # Private arguments
    #     _raise_exceptions_for_gated_repo: if False, do not raise an exception for gated repo error but return
    #         None.
    #     _raise_exceptions_for_missing_entries: if False, do not raise an exception for missing entries but return
    #         None.
    #     _raise_exceptions_for_connection_errors: if False, do not raise an exception for connection errors but return
    #         None.
    #     _commit_hash: passed when we are chaining several calls to various files (e.g. when loading a tokenizer or
    #         a pipeline). If files are cached for this commit hash, avoid calls to head and get from the cache.
    if is_offline_mode() and not local_files_only:
        logger.info("Offline mode: forcing local_files_only=True")
        local_files_only = True
    if subfolder is None:
        subfolder = ""

    path_or_repo_id = str(path_or_repo_id)
    full_filename = os.path.join(subfolder, filename)
    if os.path.isdir(path_or_repo_id):
        resolved_file = os.path.join(os.path.join(path_or_repo_id, subfolder), filename)
        if not os.path.isfile(resolved_file):
            if _raise_exceptions_for_missing_entries and filename not in ["config.json", f"{subfolder}/config.json"]:
                raise EnvironmentError(
                    f"{path_or_repo_id} does not appear to have a file named {full_filename}. Checkout "
                    f"'https://huggingface.co/{path_or_repo_id}/tree/{revision}' for available files."
                )
            else:
                return None
        return resolved_file

    if cache_dir is None:
        cache_dir = TRANSFORMERS_CACHE
    if isinstance(cache_dir, Path):
        cache_dir = str(cache_dir)

    if _commit_hash is not None and not force_download:
        # If the file is cached under that commit hash, we return it directly.
        resolved_file = try_to_load_from_cache(
            path_or_repo_id, full_filename, cache_dir=cache_dir, revision=_commit_hash, repo_type=repo_type
        )
        if resolved_file is not None:
            if resolved_file is not _CACHED_NO_EXIST:
                return resolved_file
            elif not _raise_exceptions_for_missing_entries:
                return None
            else:
                raise EnvironmentError(f"Could not locate {full_filename} inside {path_or_repo_id}.")

    user_agent = http_user_agent(user_agent)
    try:
        # Load from URL or cache if already cached
        resolved_file = hf_hub_download(
            path_or_repo_id,
            filename,
            subfolder=None if len(subfolder) == 0 else subfolder,
            repo_type=repo_type,
            revision=revision,
            cache_dir=cache_dir,
            user_agent=user_agent,
            force_download=force_download,
            proxies=proxies,
            resume_download=resume_download,
            token=token,
            local_files_only=local_files_only,
        )
    except GatedRepoError as e:
        resolved_file = _get_cache_file_to_return(path_or_repo_id, full_filename, cache_dir, revision)
        if resolved_file is not None or not _raise_exceptions_for_gated_repo:
            return resolved_file
        raise EnvironmentError(
            "You are trying to access a gated repo.\nMake sure to have access to it at "
            f"https://huggingface.co/{path_or_repo_id}.\n{str(e)}"
        ) from e
    except RepositoryNotFoundError as e:
        raise EnvironmentError(
            f"{path_or_repo_id} is not a local folder and is not a valid model identifier "
            "listed on 'https://huggingface.co/models'\nIf this is a private repository, make sure to pass a token "
            "having permission to this repo either by logging in with `huggingface-cli login` or by passing "
            "`token=<your_token>`"
        ) from e
    except RevisionNotFoundError as e:
        raise EnvironmentError(
            f"{revision} is not a valid git identifier (branch name, tag name or commit id) that exists "
            "for this model name. Check the model page at "
            f"'https://huggingface.co/{path_or_repo_id}' for available revisions."
        ) from e
    except LocalEntryNotFoundError as e:
        resolved_file = _get_cache_file_to_return(path_or_repo_id, full_filename, cache_dir, revision)
        if (
            resolved_file is not None
            or not _raise_exceptions_for_missing_entries
            or not _raise_exceptions_for_connection_errors
        ):
            return resolved_file

      raise EnvironmentError(
            f"We couldn't connect to '{HUGGINGFACE_CO_RESOLVE_ENDPOINT}' to load this file, couldn't find it in the"
            f" cached files and it looks like {path_or_repo_id} is not the path to a directory containing a file named"
            f" {full_filename}.\nCheckout your internet connection or see how to run the library in offline mode at"
            " 'https://huggingface.co/docs/transformers/installation#offline-mode'."
        ) from e

E 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 vidore/colqwen2-base is not the path to a directory containing a file named config.json.
E Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.

/ThirdParty/transformers/src/transformers/utils/hub.py:446: OSError