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@ -1,6 +1,7 @@
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import json
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import logging
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import os
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from pathlib import Path
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from functools import partial
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from typing import Union, Optional
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@ -13,8 +14,7 @@ except ImportError:
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from timm import __version__
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try:
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from huggingface_hub import hf_hub_url
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from huggingface_hub import cached_download
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from huggingface_hub import cached_download, hf_hub_url, HfFolder, HfApi, Repository
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cached_download = partial(cached_download, library_name="timm", library_version=__version__)
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except ImportError:
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hf_hub_url = None
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@ -94,3 +94,119 @@ def load_state_dict_from_hf(model_id: str):
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cached_file = _download_from_hf(model_id, 'pytorch_model.bin')
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state_dict = torch.load(cached_file, map_location='cpu')
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return state_dict
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def save_pretrained_for_hf(model, save_directory, **config_kwargs):
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assert has_hf_hub(True)
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save_directory = Path(save_directory)
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save_directory.mkdir(exist_ok=True, parents=True)
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weights_path = save_directory / 'pytorch_model.bin'
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torch.save(model.state_dict(), weights_path)
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config_path = save_directory / 'config.json'
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config = model.default_cfg
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config.update(config_kwargs)
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with config_path.open('w') as f:
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json.dump(config, f, indent=4)
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def push_to_hf_hub(
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model,
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repo_path_or_name: Optional[str] = None,
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repo_url: Optional[str] = None,
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commit_message: Optional[str] = "Add model",
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organization: Optional[str] = None,
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private: Optional[bool] = None,
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api_endpoint: Optional[str] = None,
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use_auth_token: Optional[Union[bool, str]] = None,
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git_user: Optional[str] = None,
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git_email: Optional[str] = None,
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config: Optional[dict] = None,
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):
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"""
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Upload model checkpoint and config to the 🤗 Model Hub while synchronizing a local clone of the repo in
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:obj:`repo_path_or_name`.
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Parameters:
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repo_path_or_name (:obj:`str`, `optional`):
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Can either be a repository name for your model or tokenizer in the Hub or a path to a local folder (in
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which case the repository will have the name of that local folder). If not specified, will default to
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the name given by :obj:`repo_url` and a local directory with that name will be created.
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repo_url (:obj:`str`, `optional`):
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Specify this in case you want to push to an existing repository in the hub. If unspecified, a new
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repository will be created in your namespace (unless you specify an :obj:`organization`) with
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:obj:`repo_name`.
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commit_message (:obj:`str`, `optional`):
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Message to commit while pushing. Will default to :obj:`"add config"`, :obj:`"add tokenizer"` or
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:obj:`"add model"` depending on the type of the class.
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organization (:obj:`str`, `optional`):
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Organization in which you want to push your model or tokenizer (you must be a member of this
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organization).
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private (:obj:`bool`, `optional`):
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Whether or not the repository created should be private (requires a paying subscription).
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api_endpoint (:obj:`str`, `optional`):
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The API endpoint to use when pushing the model to the hub.
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use_auth_token (:obj:`bool` or :obj:`str`, `optional`):
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The token to use as HTTP bearer authorization for remote files. If :obj:`True`, will use the token
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generated when running :obj:`transformers-cli login` (stored in :obj:`~/.huggingface`). Will default to
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:obj:`True` if :obj:`repo_url` is not specified.
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git_user (``str``, `optional`):
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will override the ``git config user.name`` for committing and pushing files to the hub.
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git_email (``str``, `optional`):
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will override the ``git config user.email`` for committing and pushing files to the hub.
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config (:obj:`dict`, `optional`):
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Configuration object to be saved alongside the model weights.
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Returns:
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The url of the commit of your model in the given repository.
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"""
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assert has_hf_hub(True)
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if repo_path_or_name is None and repo_url is None:
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raise ValueError(
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"You need to specify a `repo_path_or_name` or a `repo_url`."
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)
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if use_auth_token is None and repo_url is None:
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token = HfFolder.get_token()
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if token is None:
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raise ValueError(
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"You must login to the Hugging Face hub on this computer by typing `transformers-cli login` and "
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"entering your credentials to use `use_auth_token=True`. Alternatively, you can pass your own "
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"token as the `use_auth_token` argument."
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)
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elif isinstance(use_auth_token, str):
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token = use_auth_token
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else:
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token = None
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if repo_path_or_name is None:
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repo_path_or_name = repo_url.split("/")[-1]
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# If no URL is passed and there's no path to a directory containing files, create a repo
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if repo_url is None and not os.path.exists(repo_path_or_name):
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repo_name = Path(repo_path_or_name).name
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repo_url = HfApi(endpoint=api_endpoint).create_repo(
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token,
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repo_name,
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organization=organization,
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private=private,
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repo_type=None,
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exist_ok=True,
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)
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repo = Repository(
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repo_path_or_name,
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clone_from=repo_url,
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use_auth_token=use_auth_token,
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git_user=git_user,
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git_email=git_email,
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)
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repo.git_pull(rebase=True)
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save_config = model.default_cfg
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save_config.update(config or {})
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with repo.commit(commit_message):
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save_pretrained_for_hf(model, repo.local_dir, **save_config)
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