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Args: pretrained_model_name_or_path (`str` or `os.PathLike`): This can be either: - a string, the *model id* of a pretrained model configuration hosted inside a model repo on huggingface.co. - a path to a *directory* containing a configuration file saved using the [`~PreTrainedTokenizer.save_pretrained`] method, e.g., `./my_model_directory/`. module_file (`str`): The name of the module file containing the class to look for. 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. 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 `hf auth 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. repo_type (`str`, *optional*): Specify the repo type (useful when downloading from a space for instance). Passing `token=True` is required when you want to use a private model. Returns: `str`: The path to the module inside the cache. z+Offline mode: forcing local_files_only=TrueTN/)rrr)rrrrrrrrzCould not locate the z inside r)parentsr)rT)rrrrrrr z- rezs/zhttps://huggingface.co/z9A new version of the following files was downloaded from z: z . Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.)(rr"inforr.r,isdirrrrr&rxrr r-OSErrorrbasenamerrr r<rrr0filecmpcmpr;mkdirshutilcopyfiler2r3r^rrr get_cached_module_filerVr#)rr@rrrrrrrrdeprecated_kwargsis_localr submodule new_filesrmodules_neededlocal_model_namelocal_source_files_hashfull_submodulesubmodule_pathr module_needed target_path commit_hashfull_submodule_module_file_pathrN repo_type_strurls&&&&&&&&&&, rrrZsst!1 AB%((E$F!ww}}:;HM GGKK$$S)>@]@c@cdg@h%ij . ))nw I* ) )-% MA   [ )##78N01A1A"''BRBRSpBq1rs"BC`"w  ((*:[ \ ,}< %%''w{{;KHX/Y/Y""(((E [9++-K**>M (+5'"''++5 C*,'',,~{*S'd#BCJJK,4466 OO0.;2N O  ' ' )+M#k199}oS  J Calling this function will execute the code in the module file found locally or downloaded from the Hub. It should therefore only be called on trusted repos. Args: class_reference (`str`): The full name of the class to load, including its module and optionally its repo. pretrained_model_name_or_path (`str` or `os.PathLike`): This can be either: - a string, the *model id* of a pretrained model configuration hosted inside a model repo on huggingface.co. - a path to a *directory* containing a configuration file saved using the [`~PreTrainedTokenizer.save_pretrained`] method, e.g., `./my_model_directory/`. This is used when `class_reference` does not specify another repo. module_file (`str`): The name of the module file containing the class to look for. class_name (`str`): The name of the class to import in the module. 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. 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 `hf auth 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. repo_type (`str`, *optional*): Specify the repo type (useful when downloading from a space for instance). code_revision (`str`, *optional*, defaults to `"main"`): The specific revision to use for the code on the Hub, if the code leaves in a different repository than the rest of the model. 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. Passing `token=True` is required when you want to use a private model. Returns: `typing.Type`: The class, dynamically imported from the module. Examples: ```python # Download module `modeling.py` from huggingface.co and cache then extract the class `MyBertModel` from this # module. cls = get_class_from_dynamic_module("modeling.MyBertModel", "sgugger/my-bert-model") # Download module `modeling.py` from a given repo and cache then extract the class `MyBertModel` from this # module. cls = get_class_from_dynamic_module("sgugger/my-bert-model--modeling.MyBertModel", "sgugger/another-bert-model") ```z--rrT)rrrrrrr)r)rxrr)rrrrrrrrrrkwargsrepo_idr@r final_modules&&&&&&&&&&, rget_class_from_dynamic_moduler sn #2#8#8#> /-33C8K!>!I )e%) L zn UUrc V^8dQhR\R\\P,R\R,R\ \,/#)robjfolderconfigNr)rrr.r8rrB)rs"rrrrsBIICIr{{):ID4KI[_`c[dIrcaSPR8Xd\PRS RV R24R#V3Rlp\V\\ 34'dVF pV!V4K M Ve V!V4.p\ PSP,Pp\V4\V4P, p\P!Wg4VPV4\V4FOp\V4\V4P, p\P!W4VPV4KQ V#)a Save the modeling files corresponding to a custom model/configuration/tokenizer etc. in a given folder. Optionally adds the proper fields in a config. Args: obj (`Any`): The object for which to save the module files. folder (`str` or `os.PathLike`): The folder where to save. config (`PreTrainedConfig` or dictionary, `optional`): A config in which to register the auto_map corresponding to this custom object. Returns: `list[str]`: The list of files saved. __main__z We can't save the code defining z in z as it's been defined in __main__. 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Please set the option `trust_remote_code=True` to permit loading of this model.)r)signumframes&&r_raise_timeout_errorr/s  c rc2VfgVeRV RV RV R2pMU\PPV4'd(RV R\PPV4 R2pM RV RV R2pVEfV'dRpEM V'd\^8dRp\ P !\ P \4p\ P!\4VfF\V R V R 24pVP4R 9dR pK.VP4R9gKERpKI\ P!^4Te<\ P !\ P T4\ P!^4MV'd \RR4V'd"V'gV'g\V R V R 24hV# \d\T R T R 24hi;i Te=\ P !\ P T4\ P!^4ii;i)a Resolves the `trust_remote_code` argument. If there is remote code to be loaded, the user must opt-in to loading it. Args: trust_remote_code (`bool` or `None`): User-defined `trust_remote_code` value. model_name (`str`): The name of the model repository in huggingface.co. has_local_code (`bool`): Whether the model has local code. has_remote_code (`bool`): Whether the model has remote code. error_message (`str`, *optional*): Custom error message to display if there is remote code to load and the user didn't opt-in. If unset, the error message will be regarding loading a model with custom code. Returns: The resolved `trust_remote_code` value. NzThe repository z% references custom code contained in zm which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/z . zt contains custom code which must be executed to correctly load the model. You can inspect the repository content at z contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Fz9 You can inspect the repository content at https://hf.co/z. You can avoid this prompt in future by passing the argument `trust_remote_code=True`. Do you wish to run the custom code? [y/N] TzS. 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