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If `True`, will use the token generated when running `transformers-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. > [!TIP] > You may pass a token in `token` if you are not logged in (`hf auth login`) and want to use private or [gated > models](https://huggingface.co/docs/hub/models-gated#gated-models). Returns: `str`: The path to the module inside the cache. Úlocalú/rÚvrZNérÚmainzDefaulting to latest_version: z`custom_revision`: z3 does not exist. 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It should > therefore only be called on trusted repos. 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. Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a user or organization name, like `dbmdz/bert-base-german-cased`. - 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. 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 `transformers-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. > [!TIP] > You may pass a token in `token` if you are not logged in (`hf auth login`) and want to use private or [gated > models](https://huggingface.co/docs/hub/models-gated#gated-models). Returns: `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("sgugger/my-bert-model", "modeling.py", "MyBertModel") ```r¯)r¹rŠ)rœrGrr…ržrŸr r¡r¢r£r¤Úfinal_modules rÚget_class_from_dynamic_modulerÈ«s<€ôF*Ø%ØØØØ%ØØØØ)Øô€Lô˜z¨<Ó8Ð8r)F)NNFNNNFN) NNNFNNNFN)9Ú__doc__r`rr r/rBr¶r,Ú threadingÚpathlibrÚtypesrÚtypingrrrÚurllibrÚhuggingface_hubr r Úhuggingface_hub.utilsrrÚ packagingr ÚrrrrÚ constantsrÚ get_loggerr”rcr³ÚintÚgetenvÚTIME_OUT_REMOTE_CODEÚLockryr'r4rOÚPathLiker8rKrXrjrqrŠrƒÚboolr¹rÈ©rrúrÜs¦ðñ:ãÛÛÛ Û Û Û ÛÝÝß(Ñ(Ýç7ßMÝåßFÑFÝ4ð ˆ× Ñ ˜HÓ %€ð!GÐÙ˜9˜2Ÿ9™9Ð%DÀbÓIÓJÐØ%y—~‘~Ó'Ðò>òð c¨2¯;©;Ð&6Ñ 7óò'ò$ ò:*ò@ó0'òBð6ð $Ø37Ø Ø(,Ø(,Ø"Ø"Ø#ñq5Ø#(¨¨b¯k©kÐ)9Ñ#:ðq5àðq5ð˜‰}ðq5ð˜˜c 2§;¡;Ð.Ñ/Ñ0ð q5ð ðq5ðd˜3 ˜8‘nÑ %ð q5ðE˜$ ˜)Ñ$Ñ%ðq5ðs‰mðq5ððq5ð˜‰}òq5óðq5ðhð $Ø $Ø37Ø Ø(,Ø(,Ø"Ø"Ø#ñN9Ø#(¨¨b¯k©kÐ)9Ñ#:ðN9àðN9ð˜‰}ðN9ð˜‘ ð N9ð ˜˜c 2§;¡;Ð.Ñ/Ñ0ðN9ðð N9ðd˜3 ˜8‘nÑ %ðN9ðE˜$ ˜)Ñ$Ñ%ðN9ðs‰mðN9ððN9ð˜‰}òN9óñN9r