+ QV-j@^RIt^RIt^RIHt^RIHtHt^RIHt^RI H t ^RI H t H t ^RIHt^RIHtHtHtHt^R IHtHt]P0!]4tR(R R lltR(R R lltRtR]!4 R]!4 R]!4 R2tRRltRRlt R)RRllt!]R)RRll4t"]RRRRRRRRR RR!RR"RR#RR$RR%R/ R&R'll4t#R#)*NPath)DEFAULT_PROTOCOL PicklingError)Any)version) constantssnapshot_download)HfApi)SoftTemporaryDirectoryget_fastai_versionget_fastcore_versionget_python_version)loggingvalidate_hf_hub_argsc0V^8dQhR\R\/#)fastai_min_versionfastcore_min_versionstr)formats"m/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/huggingface_hub/fastai_utils.py __annotate__rs, , , , c \4;'g \4R8Xd)\RV RV R\4 R\4 R2 4h\P!\44p\P!\44pV\P!V48d\RV R\4 R 24hV\P!V48d\R V R \4 R 24hR #)a Checks that the installed fastai and fastcore versions are compatible for pickle serialization. Args: fastai_min_version (`str`, *optional*): The minimum fastai version supported. fastcore_min_version (`str`, *optional*): The minimum fastcore version supported. > [!TIP] > Raises the following error: > > - [`ImportError`](https://docs.python.org/3/library/exceptions.html#ImportError) > if the fastai or fastcore libraries are not available or are of an invalid version. zN/Azfastai>=z and fastcore>=z' are required. Currently using fastai==z and fastcore==.zD`push_to_hub_fastai` and `from_pretrained_fastai` require a fastai>=z+ version, but you are using fastai version zA which is incompatible. Upgrade with `pip install fastai==2.5.6`.zF`push_to_hub_fastai` and `from_pretrained_fastai` require a fastcore>=- version, but you are using fastcore version zD which is incompatible. Upgrade with `pip install fastcore==1.3.27`.N)rr ImportErrorrVersion)rrcurrent_fastai_versioncurrent_fastcore_versions&& r_check_fastai_fastcore_versionsr#s( 66"4"65@)*/:N9OP22D2F1GH.01 4  %__-?-AB&/C/EF0B CC *+,"$%&    '//2F"GG ./0,./0/ /  Hrc<V^8dQhR\R\R\/#)rstorage_folderrrr)rs"rrrGs+\\\\\rc^RIp\PP T R24'g\ PR4R#TPT R24pRTP49d\ PR4R#TR,pRTP49d\ PR4R#TR,pTUu.uFqwPR 4'gKTNK pp\T4^8Xd\ PR 4Mp\T^,4PR 4^,p T R 8wdB\P!T 4\P!T48d\R T RT R24hTUu.uFqwPR4'gKTNK p p\T 4^8Xd\ PR4R#\T ^,4PR 4^,p T R 8wdD\P!T 4\P!T48d\RT RT R24hR#R# \d \R4hi;iuupiuupi)a Checks that the `pyproject.toml` file in the directory `storage_folder` has fastai and fastcore versions that are compatible with `from_pretrained_fastai` and `push_to_hub_fastai`. If `pyproject.toml` does not exist or does not contain versions for fastai and fastcore, then it logs a warning. Args: storage_folder (`str`): Folder to look for the `pyproject.toml` file. fastai_min_version (`str`, *optional*): The minimum fastai version supported. fastcore_min_version (`str`, *optional*): The minimum fastcore version supported. > [!TIP] > Raises the following errors: > > - [`ImportError`](https://docs.python.org/3/library/exceptions.html#ImportError) > if the `toml` module is not installed. > - [`ImportError`](https://docs.python.org/3/library/exceptions.html#ImportError) > if the `pyproject.toml` indicates a lower than minimum supported version of fastai or fastcore. Nzn`push_to_hub_fastai` and `from_pretrained_fastai` require the toml module. Install it with `pip install toml`.z/pyproject.tomlzThere is no `pyproject.toml` in the repository that contains the fastai `Learner`. The `pyproject.toml` would allow us to verify that your fastai and fastcore versions are compatible with those of the model you want to load.z build-systemzThere is no `build-system` section in the pyproject.toml of the repository that contains the fastai `Learner`. The `build-system` would allow us to verify that your fastai and fastcore versions are compatible with those of the model you want to load.requireszThere is no `requires` section in the pyproject.toml of the repository that contains the fastai `Learner`. The `requires` would allow us to verify that your fastai and fastcore versions are compatible with those of the model you want to load.fastaizPThe repository does not have a fastai version specified in the `pyproject.toml`.=z*`from_pretrained_fastai` requires fastai>=z$ version but the model to load uses z which is incompatible.fastcorezRThe repository does not have a fastcore version specified in the `pyproject.toml`.z,`from_pretrained_fastai` requires fastcore>=r)tomlModuleNotFoundErrorrospathisfileloggerwarningloadkeys startswithlenr partitionrr ) r%rrr,pyproject_tomlbuild_system_tomlpackage_versionspckfastai_packagesfastai_versionfastcore_packagesfastcore_versions &&& r)_check_fastai_fastcore_pyproject_versionsr@GsM6  77>>^,O< = =  YY.!1ABN^0022 . &~6*//11 . (4'7S&6s..:Rss&6OS ?q ij_Q/0::3?B R GOON$CgooVhFi$i./0"##:<  )9W(8NN:>sCAF r !goo6F&G'//ZnJo&o234,--DF 'p !u   3   NTXs#II $I I%#I%Iu--- tags: - fastai --- # Amazing! 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub! # Some next steps 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))! 2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)). 3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)! Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card. --- # Model card ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed zB[build-system] requires = ["setuptools>=40.8.0", "wheel", "python=z ", "fastai=z ", "fastcore=z6"] build-backend = "setuptools.build_meta:__legacy__" c$V^8dQhR\/#rrepo_dirr)rs"rrrs % % %rcVR, pVP4'g<VPRRR7;_uu_4pVP\4RRR4R#R# +'giR#;i)zw Creates a model card for the repository. Args: repo_dir (`Path`): Directory where model card is created. z README.mdwutf-8encodingN)existsopenwriteREADME_TEMPLATE)rC readme_pathfs& r_create_model_cardrOsX[(K        cG  4 4 GGO $5 4 4 4 4 A A. c$V^8dQhR\/#rBr)rs"rrrs ( (d (rcVR, pVP4'g<VPRRR7;_uu_4pVP\4RRR4R#R# +'giR#;i)z Creates a `pyproject.toml` for the repository. Args: repo_dir (`Path`): Directory where `pyproject.toml` is created. zpyproject.tomlrErFrGN)rIrJrKPYPROJECT_TEMPLATE)rCpyproject_pathrNs& r_create_model_pyprojectrUsZ 00N  " "  w 7 71 GG& '8 7 # 7 7 7rPcvV^8dQhR\\,R\\\3,R,/#)rsave_directoryconfigN)rrdictr)rs"rrrs/2 2 $J2  cNT !2 rc\4\P!VRR7Ve\V\4'g\ R\ V4 R24h\PPV\P4p\VR4;_uu_4p\P!W$4RRR4\\V44\!\V44\V4Vn\P!VRR7VP#R\$R7R# +'giLz;i \&d \'R 4hi;i) a Saves a fastai learner to `save_directory` in pickle format using the default pickle protocol for the version of python used. Args: learner (`Learner`): The `fastai.Learner` you'd like to save. save_directory (`str` or `Path`): Specific directory in which you want to save the fastai learner. config (`dict`, *optional*): Configuration object. Will be uploaded as a .json file. Example: 'https://huggingface.co/espejelomar/fastai-pet-breeds-classification/blob/main/config.json'. > [!TIP] > Raises the following error: > > - [`RuntimeError`](https://docs.python.org/3/library/exceptions.html#RuntimeError) > if the config file provided is not a dictionary. T)exist_okNz(Provided config should be a dict. Got: ''rE model.pkl)fnamepickle_protocolzYou are using a lambda function, i.e., an anonymous function. `pickle` cannot pickle function objects and requires that all functions have names. One possible solution is to name the function.)r#r.makedirs isinstancerY RuntimeErrortyper/joinr CONFIG_NAMErJjsondumprOrrUexportrr)learnerrWrXr/rNs&&& r_save_pretrained_fastairjs,$%KK.&$''!I$v,WXYZ Zww||NI,A,AB $__ IIf tN+,D01'GLKK.  ,  _   E   sD D3 D0 3E c>V^8dQhR\R\R,/#)rrepo_idrevisionNr)rs"rrr"s$)C)C )CDj)Crc\4\PPV4'g\ VVR\ 4R7pMTp\ V4^RIHpV!\PPVR44#)a4 Load pretrained fastai model from the Hub or from a local directory. Args: repo_id (`str`): The location where the pickled fastai.Learner is. It can be either of the two: - Hosted on the Hugging Face Hub. E.g.: 'espejelomar/fatai-pet-breeds-classification' or 'distilgpt2'. You can add a `revision` by appending `@` at the end of `repo_id`. E.g.: `dbmdz/bert-base-german-cased@main`. Revision is the specific model version to use. Since we use a git-based system for storing models and other artifacts on the Hugging Face Hub, it can be a branch name, a tag name, or a commit id. - Hosted locally. `repo_id` would be a directory containing the pickle and a pyproject.toml indicating the fastai and fastcore versions used to build the `fastai.Learner`. E.g.: `./my_model_directory/`. revision (`str`, *optional*): Revision at which the repo's files are downloaded. See documentation of `snapshot_download`. Returns: The `fastai.Learner` model in the `repo_id` repo. r()rlrm library_namelibrary_version) load_learnerr]) r#r.r/isdirr r r@fastai.learnerrqrd)rlrmr%rqs&& rfrom_pretrained_fastairt!sd.$% 77== ! !*!.0  !-n=+  ^[A BBrcommit_messagez(Push FastAI model using huggingface_hub.privatetokenrXbranch create_prallow_patternsignore_patternsdelete_patterns api_endpointcV^8dQhR\R\R\R,R\R,R\R,R\R,R\R,R \\,\,R,R \\,\,R,R \\,\,R,R \R,/ #) rrlrurvNrwrXrxryrzr{r|r})rboolrYlist)rs"rrrOsO O O  O D[ O : O  4KO  $JO d{O IOd*O #Y_t+O #Y_t+O *O rc >\4\V R7p V PWVRR7Pp\ 4;_uu_4p \ V 4V, p\ WVR7V PVVVVVVVV V R7 uuRRR4# +'giR#;i)a Upload learner checkpoint files to the Hub. Use `allow_patterns` and `ignore_patterns` to precisely filter which files should be pushed to the hub. Use `delete_patterns` to delete existing remote files in the same commit. See [`upload_folder`] reference for more details. Args: learner (`Learner`): The `fastai.Learner' you'd like to push to the Hub. repo_id (`str`): The repository id for your model in Hub in the format of "namespace/repo_name". The namespace can be your individual account or an organization to which you have write access (for example, 'stanfordnlp/stanza-de'). commit_message (`str`, *optional*): Message to commit while pushing. Will default to :obj:`"add model"`. private (`bool`, *optional*): Whether or not the repository created should be private. If `None` (default), will default to been public except if the organization's default is private. token (`str`, *optional*): The Hugging Face account token to use as HTTP bearer authorization for remote files. If :obj:`None`, the token will be asked by a prompt. config (`dict`, *optional*): Configuration object to be saved alongside the model weights. branch (`str`, *optional*): The git branch on which to push the model. This defaults to the default branch as specified in your repository, which defaults to `"main"`. create_pr (`boolean`, *optional*): Whether or not to create a Pull Request from `branch` with that commit. Defaults to `False`. api_endpoint (`str`, *optional*): The API endpoint to use when pushing the model to the hub. allow_patterns (`list[str]` or `str`, *optional*): If provided, only files matching at least one pattern are pushed. ignore_patterns (`list[str]` or `str`, *optional*): If provided, files matching any of the patterns are not pushed. delete_patterns (`list[str]` or `str`, *optional*): If provided, remote files matching any of the patterns will be deleted from the repo. Returns: The url of the commit of your model in the given repository. > [!TIP] > Raises the following error: > > - [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) > if the user is not log on to the Hugging Face Hub. )endpointT)rlrwrvr[)rX) rlrw folder_pathrurmryrzr{r|N)r#r create_reporlr rrj upload_folder)rirlrurvrwrXrxryrzr{r|r}apitmp saved_paths&$$$$$$$$$$$ rpush_to_hub_fastairNs|$%  &CoogGVZo[ccG ! !S#Y( FC  "))++!   " ! ! !s 9B  B )z2.4z1.3.27)N)$rfr.pathlibrpicklerrtypingr packagingrhuggingface_hubr r huggingface_hub.hf_apir huggingface_hub.utilsr r rrutilsrr get_logger__name__r1r#r@rLrSrOrUrjrtrrrrs> 28(1   H %, ^\~ D44F4H3IUgUiTjjwyMyOxPP % (2 j)C)CXO E O  O  O O O "O .2O /3O /3O  $O O r