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Hub utilities: utilities related to download and cache models N)futures)Path) TypedDict)uuid4)_CACHED_NO_EXISTCommitOperationAdd ModelCard ModelCardData constants create_branch create_commit create_repohf_hub_download hf_hub_urlis_offline_modelist_repo_treesnapshot_downloadtry_to_load_from_cache)REGEX_COMMIT_HASH) EntryNotFoundErrorGatedRepoErrorHfHubHTTPErrorLocalEntryNotFoundErrorOfflineModeIsEnabledRepositoryNotFoundErrorRevisionNotFoundErrorbuild_hf_headers get_sessionhf_raise_for_status) __version__logging)ENV_VARS_TRUE_VALUESget_torch_versionis_torch_availableis_training_run_on_sagemakerzchat_template.jsonzchat_template.jinjaadditional_chat_templatesceZdZUeej zdzed<eed<eeefdzed<eed<eezdzed<edzed<eed<edzed <e dzed <y) DownloadKwargsN cache_dirforce_downloadproxieslocal_files_onlytokenrevision subfolder commit_hash tqdm_class) __name__ __module__ __qualname__strosPathLike__annotations__booldicttypee/Volumes/fast/ai/experiments/MLX_z-image/.venv/lib/python3.12/site-packages/transformers/utils/hub.pyr)r)LsgR[[ 4'' #s(^d "" : DjNtt r>r)F)totalHF_MODULES_CACHEmodulestransformers_modulesz3https://s3.amazonaws.com/models.huggingface.co/bertzhttps://cdn.huggingface.copath_or_repo_id full_filenamer*r/ repo_typec>t|||||}| |tk7r|Sy)Nr*r/rF)rr)rDrEr*r/rF resolved_files r?_get_cache_file_to_returnrJds3+)hZcM ]6F%F r>)r/r*r.repo_idr-r.returncv|s^ t||td|Dcgc]?}|jjdr"|jj tdAc}S t|||d}t|t}|jsgS|j!Dcgc];}|j#s|j$jds0|j&=c}Scc}w#t t tf$rtttjf$rYwxYw#t$rgcYSwxYwcc}w)zList template files from a repo. 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Nzsnapshots/([^/]+)/r)r6ras_posixresearchgroupsrmatch)rIr1rs r?extract_commit_hashrsn 7]+4467M YY,m ;HDHr>filenamec :td||gd|}||d}|S|}|S)a 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. 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. 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). Passing `token=True` is required when you want to use a private model. 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") ``` )rD filenamesrr=) cached_files)rDrkwargsfiles r? cached_filers;n  XH: XQW XD&47D K-1D Kr>rr+r,r0 _raise_exceptions_for_gated_repo%_raise_exceptions_for_missing_entries'_raise_exceptions_for_connection_errors _commit_hashr2c tr|stjdd}|d}|Dcgc]"}tjj ||$}}t |}g}|D]}tjj|s#tjj ||}tjj|sC| r@|tjj |dk7r|dn|}t|d|d|d |d |j|tjj|r|r|SdS|tj}t|tr t |}g}d }|T|sR|D]M}t||||| }||t ur|d z }|j|5| s|d z }=td|d|d|t#|k(rt#|d kDr|SdSt%| } t#|d k(r+t'||d t#|d k(rdn|| ||| ||||| nt)||| ||| ||||| |Dcgc]}t9||||}}tEd |Dr| rtG||Dcgc] \}}| | }}}t#|d k(r'|d tjj |dk(ry|dn|}t#|d k(rd!|d nd"g|}t|d#|d|d |d |Dcgc]}|| }}t#|d k(rd}|S|}|Scc}w#t*$r}t|t,rt|t.st|d|t|t0rt|d|d|t|t2rtd|j4d|d|t|t6r t|||Dcgc]}t9||||| ncc}w}}t;d|Dr|cYd}~St|t.r"| sYd}~ytd|dt ||t|t<r'| sYd}~y| ritdtj>d|t|t@r)t|tBs| sYd}~ytd|d||t|tBs|Yd}~d}~wwxYwcc}wcc}}wcc}w)$a Tries to locate several files in a local folder and repo, downloads and cache them 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. filenames (`list[str]`): The name of all the files 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. 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. 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). Private args: _raise_exceptions_for_gated_repo (`bool`): if False, do not raise an exception for gated repo error but return None. _raise_exceptions_for_missing_entries (`bool`): if False, do not raise an exception for missing entries but return None. _raise_exceptions_for_connection_errors (`bool`): if False, do not raise an exception for connection errors but return None. _commit_hash (`str`, *optional*): 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. Passing `token=True` is required when you want to use a private model. 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") ``` z+Offline mode: forcing local_files_only=TrueTNrz config.jsonmainz& does not appear to have a file named z#. Checkout 'https://huggingface.co/z/tree/z' for available files.rrHr zCould not locate z inside .) r0rFr/r*rr+r,r.r-r2) allow_patternsrFr/r*rr+r,r.r-r2a  is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `hf auth login` or by passing `token=` is not a valid git identifier (branch name, tag name or commit id) that exists for this model name. Check the model page at 'https://huggingface.co/' for available revisions.zPermissionError at z when downloading z. Check cache directory permissions. Common causes: 1) another user is downloading the same model (please wait); 2) a previous download was canceled and the lock file needs manual removal.c3$K|]}|du ywNr=rrs r?rzcached_files..s;NDt4Nz`You are trying to access a gated repo. Make sure to have access to it at https://huggingface.co/z. zWe couldn't connect to 'z' to load the files, and couldn't find them in the cached files. Check your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.z:There was a specific connection error when trying to load z: c3$K|]}|du ywrr=rs r?rzcached_files..s 3ND44>-08XV_anIo=o*2*:I!*++QRZQ[\33B2C6)Tjl   ! !- 0# ww}}_%!/~9T9** )T" N NL&H2YajM( (88 A%L"))-8> A%L!$5hZxGXXY"Z[['s>**!$^!4q!8~BdB ,J] ~ ! # ! "%i.A"5$9#!#%-!1%  -#!#%-!1% \cqbpV^!/8YQbp 3N 338]>A.R`>av>a(:(emeu8>av ~ ! #(:bggll9Vc>d(d&.FH 474HA4MmOA./ 0UabudsbuavSw 8=`ap`qqwyBxCC$ $  (6J~t9Id~NJ 0A5TN  *:aAS3T:VWfVggjkljmnouv vA12G{=~ wKsh'L+4AL0S S SSS0 S:BS O0/S  SS '-S AS  $S  S)r-r*rF path_or_repoc tjj|r=tjjtjj ||St |||||} t | t} |r| S tjt||||t|tdd} t%| y#tj$rtjtj t"f$r| cYSwxYw#t&$r,} t(j+| t-|d|d | d } ~ wt.$r)} t(j+| t-|d | d } ~ wt0$r,} t(j+| t-|d |d | d } ~ wt2$rYyt4$r| cYSwxYw)a Checks if a repo contains a given file without downloading it. Works for remote repos and local folders. If offline mode is enabled, checks if the file exists in the cache. This function will raise an error if the repository `path_or_repo` is not valid or if `revision` does not exist for this repo, but will return False for regular connection errors. )rKrr/rFr*)rr/rF)r.rF )headersfollow_redirectstimeoutTzN is a gated repository. Make sure to request access at https://huggingface.co/z~ and pass a token having permission to this repo either by logging in with `hf auth login` or by passing `token=`.NzE is not a local folder or a valid repository name on 'https://hf.co'.rr)r7rRrrrrrr6rheadrrrrU ProxyError ConnectErrorTimeoutExceptionrrrrerrorrrrrr) rrr/r,r.r-r*rFr cached_pathhas_file_in_cacheresponsers r?has_filers2 ww}}\"ww~~bggll<BCC ) K#;4   !=%% |hU^ _$5_=NO" & !H%       6 68L M!  !  Qn&&2^4R R    #u Q&klmstt  QjKKW.Xr t    !  !sN=C D =D  D  F='D?? F= $E// F=;'F"" F=0 F=<F=c2eZdZdZdeej zfdZ ddeej zdedeee fdedzd e ezdzd e d edzd edzfd Z dZ ddddddddddededzd edzde dzd e ezdzd edzd e de ezdzdeedzdefdZy)PushToHubMixinzW A Mixin containing the functionality to push a model or tokenizer to the hub. working_dirc tj|Dcic]@}|tjjtjj ||Bc}Scc}w)zS Returns the list of files with their last modification timestamp. )r7listdirrRgetmtimer)selfrfs r?_get_files_timestampsz$PushToHubMixin._get_files_timestampswsMLN::VaKbcKba277##BGGLLa$@AAKbcccsAA NFrKfiles_timestampscommit_messager. create_prr/commit_descriptionc |d|jjvrd}nd|jjvrd}njd|jjvrd}nOd|jjvrd }n4d |jjvrd }nd |jj}tj|D cgc]K} | |vsCtjj tjj || || kDr| M} } | D cgc]~} tjjtjj || s=tjjtjj || r| } } g} | D] } tjjtjj || rtjtjj || D][} | jttjj || | tjj | |  ]| jttjj || | |!|jds t|||dt j#d|ddj | t%|| |||||Scc} wcc} w#t$r'} | jjdk(r|rnYd} ~ qd} ~ wwxYw)zh Uploads all modified files in `working_dir` to `repo_id`, based on `files_timestamps`. NModelz Upload modelConfigz Upload config TokenizerzUpload tokenizerFeatureExtractorzUpload feature extractor ProcessorzUpload processorzUpload )path_or_fileobjrNzrefs/prT)rKbranchr.exist_okiz!Uploading the following files to z: ,)rK operationsrrr.rr/) __class__r3r7rrRrrrrrr startswithr rr status_coderrr )rrrKrrr.rr/rrmodified_filesrrrs r?_upload_modified_filesz%PushToHubMixin._upload_modified_files}s  !$..111!/T^^444!0 7 77!3#t~~'>'>>!; 7 77!3#*4>>+B+B*C!DZZ , ,((BGG,<,50GB)rrprivater.r/rmax_shard_sizetagsrrrrLc Zt|||dj}t|| |} tj5} |j | || j tjj| d|j| |i|||||cdddS#1swYyxYw)u Upload the {object_files} to the 🤗 Model Hub. Parameters: repo_id (`str`): The name of the repository you want to push your {object} to. It should contain your organization name when pushing to a given organization. commit_message (`str`, *optional*): Message to commit while pushing. Will default to `"Upload {object}"`. commit_description (`str`, *optional*): The description of the commit that will be created private (`bool`, *optional*): Whether to make the repo private. If `None` (default), the repo will be public unless the organization's default is private. This value is ignored if the repo already exists. token (`bool` or `str`, *optional*): The token to use as HTTP bearer authorization for remote files. If `True` (default), will use the token generated when running `hf auth login` (stored in `~/.huggingface`). revision (`str`, *optional*): Branch to push the uploaded files to. create_pr (`bool`, *optional*, defaults to `False`): Whether or not to create a PR with the uploaded files or directly commit. max_shard_size (`int` or `str`, *optional*, defaults to `"50GB"`): Only applicable for models. The maximum size for a checkpoint before being sharded. Checkpoints shard will then be each of size lower than this size. If expressed as a string, needs to be digits followed by a unit (like `"5MB"`). tags (`list[str]`, *optional*): List of tags to push on the Hub. Examples: ```python from transformers import {object_class} {object} = {object_class}.from_pretrained("google-bert/bert-base-cased") # Push the {object} to your namespace with the name "my-finetuned-bert". {object}.push_to_hub("my-finetuned-bert") # Push the {object} to an organization with the name "my-finetuned-bert". {object}.push_to_hub("huggingface/my-finetuned-bert") ``` T)rr.rr.)rz README.md)rrr.rr/rN) rrKcreate_and_tag_model_cardtempfileTemporaryDirectoryrsaver7rRrr) rrKrrrr.r/rrr model_cardtmp_dirs r? push_to_hubzPushToHubMixin.push_to_hubstgwedS[[/wEJ  ( ( *g   H OOBGGLL+> ?..!#-#!#5/ + * *s AB!!B*)NNFNN)r3r4r5__doc__r6r7r8rr;floatr:rrintlistrr=r>r?rrrspdr{{1Bd&*#'#)-M 2;;&M M sEz* M d M czD M M *M  $JM ^w&*)-##'#+1!%PP d P  $J PPczD P*PPc D(P3i$P Pr>rsizec t|tr|S|jjdrt|dddzS|jjdrt|dddzS|jjdrt|dddzS|jjd r)t|dd d z}|jd r|d zS|S|jjdr)t|dd dz}|jd r|d zS|S|jjdr)t|dd dz}|jd r|d zS|St d)a' Converts a size expressed as a string with digits an unit (like `"5MB"`) to an integer (in bytes). 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For the description of each arg, see [`PreTrainedModel.from_pretrained`]. `index_filename` is the full path to the index (downloaded and cached if `pretrained_model_name_or_path` is a model ID on the Hub). zCan't find a checkpoint index (z) in rN weight_mapmetadataall_checkpoint_keys) r*r+r,r-r.rr/r0rr2)r7rRrropenrwrzreadsortedsetvaluesrkeyscopyrrr)pretrained_model_name_or_pathindex_filenamer*r+r,r-r.rr/r0rr2rrindexshard_filenamessharded_metadatacached_filenamess r?get_checkpoint_shard_filesr2DsN2 77>>. ):>:J%PmOnnopqq n  1668$ S|!4!;!;!=>?OZ(.253F3K3K3M.N*+%*<%8%=%=%?\" ww}}23^mn^mYZ277<<(EyRST^mn 000$%%)!  - --=  os$D4+(E4D=rc tj||}|l|j j g|j _|D]@}||j j vs|j j j|B|S#t$r-d}t|gn|d}tj||}YwxYw)a Creates or loads an existing model card and tags it. Args: repo_id (`str`): The repo_id where to look for the model card. tags (`list[str]`, *optional*): The list of tags to add in the model card token (`str`, *optional*): Authentication token, obtained with `huggingface_hub.HfApi.login` method. Will default to the stored token. ruThis is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. transformers)r library_name)model_description)r loadrr from_templatedatarr)rKrr.r r6 card_data model_tags r?rrs]^^G59   ??   '#%JOO I  4 44$$++I6  ]e!T\rtR`a ,,YJ[\ ]sB 3B?>B?cPeZdZdZd dej dzddfdZdZdZd dZ y) PushInProgresszj Internal class to keep track of a push in progress (which might contain multiple `Future` jobs). 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