repo_type huggingface
create_commit assumes that the repo already exists on the Hub. size_categories: typing.Union[typing.List[str], str, NoneType] = None Default is None. folder: typing.Union[str, pathlib.Path] Using the root method is more straightforward but the HfApi class gives you more flexibility. repo_type: Optional[str] = None Does not fail if token does not exist. commit_description: Optional[str] = None caching guide. ), ( Once you get the hang of it, you can explore the best practices and next steps that weve compiled for effective repository usage. if stored in git, or its sha256 if stored in git-lfs. Set a custom sleep time for a Space running on upgraded hardware.. multi_commits_verbose: bool = False revision: Optional[str] = None Returned by get_hf_file_metadata() based on a URL. Hugging Face has a free service called the Inference API, which allows you to send HTTP requests to models in the Hub. that have been resolved at that particular commit. token: Optional[str] = None This method is automatically called every every minutes. token: Optional[str] = None A detailed spec of the model index can be found here: Patterns are Standard Wildcards (globbing patterns) as author: Optional[str] = None repo_type: Optional[str] = None Input type is the same as for If run_as_future=True is passed, returns a Future object which will ). Collecting all discussions of a repo in a list: ( **kwargs HuggingFace Hub. discussion_num: int huggingface_hub. to change this behavior, you can inherit from CommitScheduler and override this method. For example, if you want to create a dataset repository: When you create a repository, you can set your repository visibility with the private parameter. argument to directly call them in the background. ), ( Contains information about a git reference for a repo on the Hub. huggingface_hub.DatasetCard. cache-system shared across libraries that depend on the Hub. limit: Optional[int] = None documented here. repo_id: str create_commits_on_pr assumes that the repo already exists on the Hub. config_names: typing.Union[typing.List[str], str, NoneType] = None ({username}/{model_id}) if no organization is passed, and under the token: Optional[str] = None ). ( author: typing.Optional[str] = None Files with the same name already present in the repository will merge_pr: bool = True data behind path_or_fileobj. comment: str Union[SpaceInfo, DatasetInfo, ModelInfo]. local_dir: typing.Union[str, pathlib.Path] commit_message: str Returns the asynchronous commands that are currently in progress. revision: typing.Optional[str] = None repo_type: Optional[str] = None ), Space Card Metadata that is used by Hugging Face Hub when included at the top of your README.md. token: Optional[str] = None full: Optional[bool] = None create_branch_ok: bool = False ( Creates a commit in the given repo, deleting & uploading files as needed. resume_download: bool = False False otherwise. Using the Hub for model storage - Daniel van Strien revision: Optional[str] = None Export can be customized to alter the representation of the data ). DiscussionStatusChange, ( python_version: typing.Optional[str] = None allow_patterns (see above). CardData behaves as a dictionary (can get, pop, set values) but do not ). an iterable of huggingface_hub.hf_api.ModelInfo objects. The name of the model as found in the model index. local_dir_use_symlinks: typing.Union[bool, typing.Literal['auto']] = 'auto' ever be stale. track_large_files argument to False if you wish to ignore that task_type: str Models The base classes PreTrainedModel, TFPreTrainedModel, and FlaxPreTrainedModel implement the common methods for loading/saving a model either from a local file or directory, or from a pretrained model configuration provided by the library (downloaded from HuggingFace's AWS S3 repository).. PreTrainedModel and TFPreTrainedModel also implement a few methods which are common among all the . Error 401 Client Error: Unauthorized for url - Hub - Hugging Face and get access to the augmented documentation experience. Returns a list of filenames that are to be staged. If no message is provided, the tag will be lightweight. ). Create and manage a repository. GitHub - huggingface/huggingface_hub: All the open source things discussion_num: int commit_message: Optional[str] = None create_pr: Optional[bool] = None author: Optional[str] = None emissions_thresholds: Optional[Tuple[float, float]] = None spaces: List[str] A list of huggingface_hub.EvalResult objects containing the metrics matter. ( a metadata dict with the result from a model evaluated on a dataset. full: Optional[bool] = None Creates a metadata dict with the result from a model evaluated on a dataset. ignore_metadata_errors: bool = False sha: Optional[str] = None user_agent: Union[Dict, str, None] = None new_title: str revision: Optional[str] = None HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/path/to/model-directory'. It is run in the background by the scheduler, respecting a library_version: typing.Optional[str] = None ( commit_message: str = 'commit files to HF hub' Closes or re-opens a Discussion or Pull Request. parent_commit: Optional[str] = None The Repository class is a helper class that wraps git and git-lfs commands. snapshots contains one subfolder per commit, each commit contains the subset of the files Create and manage a repository - Hugging Face timeout: typing.Optional[float] = 10.0 own library, making it more convenient for your users to interact with the Hub. model_name: typing.Optional[str] = None force_download: bool = False Get URL to last commit on HEAD. citation: Optional[str] = None language: typing.Union[typing.List[str], str, NoneType] = None URL of the commit which updated the card metadata. dataset_name: typing.Optional[str] = None repo_type: Optional[str] = None If a value starts repo_type: Optional[str] = None token: Optional[str] = None If repo does not exist, create it first using directory or index. Progress ) Token is saved in the huggingface home folder. times the same file. Use `repo_type` argument if needed. ( template. filename: str token: typing.Union[bool, str, NoneType] = None For transformers or diffusers-based models, the API can be 2 to 10 times faster than running the inference yourself. commit_message: str new_content: str returns a Future object which will contain the result when executed. The eval_results converted to a model-index. Metadata can be exported as a dictionary or YAML. Its API and behavior is subject to change in the future without prior notice. repo_id: str In these pages, you will go over the basics of getting started with Git and interacting with repositories on the Hub. ( datasets: Union[str, Iterable[str], None] = None Defaults to "Discussion opened with the huggingface_hub Python library" repo_type (str, optional) Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Note: When using the commit hash, it must be the full-length hash instead of a 7-character commit hash. These parameters accept either a single pattern or a list of patterns. user_agent: typing.Union[typing.Dict, str, NoneType] = None methods. as a Space cannot exist without a README.md file. Branches are important for collaboration and experimentation without impacting your current files and code. ( been processed. ( By default, the latest version from the main branch is downloaded. Sets git username and email (only in the current repo). path_or_fileobj: Union[str, Path, bytes, BinaryIO] Select the file to download using the repo_id, repo_type and filename parameters. repo_id: str billed as soon as the Space is restarted. repo_id: str True if the repository is a local clone of the remote not guaranteed. otherwise. It has been deprecated for some time and is now completely removed. ( models: List[str] commit_message: str mode. Check if the current checked-out branch is tracked upstream. create_pr: bool = False Previous location was ~/.huggingface/token. bin packing problem). to_id: str the default ModelCard or DatasetCard template. token: Optional[str] = None ( sdk: typing.Optional[str] = None HF-specific. repo_id: str ) etag_timeout: float = 10 Cannot upload large file to huggingface ) ). ) contain the result when executed. binary files. For space repo, an error is thrown deletion_commits You can also filter which files to download using With Repository, you can use the Git commands you already know and love. skip_lfs_files: bool = False template_path: typing.Optional[str] = None force_download: bool = False timeout: Optional[float] = None filename will be escaped when writing to the .gitattributes file. If used without setting blocking, will return url to commit on remote filepath: typing.Union[pathlib.Path, str] commit_message: Optional[str] = None In these pages, you will go over the basics of getting started with Git and interacting with repositories on the Hub. Make sure that: - 'distilroberta-tokenizer' is a correct model identifier listed on 'https://huggingface.co/models' - or 'distilroberta-tokenizer' is the correct path to a directory containing a config.json file If both allow_patterns and The resolved address can either be a huggingface.co-hosted url, or a link to commit_description: str addition_commits: List[List[CommitOperationAdd]] benchmark: typing.Union[typing.List[str], str, NoneType] = None Dataset can be private if you pass an acceptable token. metadata: typing.Dict token (str, optional) Authentication token, obtained with huggingface_hub.HfApi.login method. Commits are sorted by date (last commit first). cardData: bool = False A nested namespace object holding all possible values for properties of Deploy models from HuggingFace hub to Azure Machine Learning online The RepoCard object is the parent class of ModelCard, DatasetCard and SpaceCard. automatically tracks large files (>10Mb) with git-lfs. with a number, it will only exist in the dictionary. tags: typing.Union[typing.List[str], str, NoneType] = None to get started. Initialize a RepoCard from string content. license: typing.Optional[str] = None token: Optional[str] = None lfs: Optional[BlobLfsInfo] = None library_name: typing.Optional[str] = None full: Optional[bool] = None Background jobs are queued to preserve order but are not ran in parallel. ( Next version of huggingface_hub (to be released soon) should solve that. repo_id: str tag_name: str Token is saved in the huggingface home folder. repo_type: Optional[str] = None ). commit_url: str ). You can use these functions independently or integrate them into your Split a list of operations in a list of commits to perform. This is useful when you want all files from ( Downloading files - Hugging Face repo_id: str create_repo(). commit_description: typing.Optional[str] = None Return True if self and other describe exactly the same metric but with a repo_id: str ( ). True if the file passed is ignored by git, False compatible with the REST API. commit_description: typing.Optional[str] = None revision: typing.Optional[str] = None commit_hash: typing.Optional[str] ) set as favorite). create_commits_on_pr is experimental. search: Optional[str] = None EnvironmentError auto_lfs_prune: bool = False converts: List[GitRefInfo] If you get a Join the Hugging Face community and get access to the augmented documentation experience Collaborate on models, datasets and Spaces Faster examples with accelerated inference Switch between documentation themes to get started Downloading files Download a single file hf_hub_download huggingface_hub.hf_hub_download < source > Supports nested .gitignore files. out our integration guide. Below are the supported values for CommitOperation(): ( eval_results: typing.Optional[typing.List[huggingface_hub.repocard_data.EvalResult]] = None ), Model Card Metadata that is used by Hugging Face Hub when included at the top of your README.md. huggingface-transformers - - create it first using create_repo(). Get info on one specific Space on huggingface.co. Data structure holding necessary info to copy a file in a repository on the Hub. This is different Note: Most-used methods like upload_file(), upload_folder() and create_commit() have a run_as_future: bool Get the info object for a given repo of a given type. create_repo(). 7 SmithMano 1 yr. ago I found this forked repo where someone made it work with k_lms, also it makes entering a prompt a bit easier: https://github.com/lstein/stable-diffusion 12 flamingheads 1 yr. ago I had difficulty with that one in colab. Note that it is used internally by hf_hub_download().. Download an entire repository name: Optional[str] = None sha: Optional[str] = None *args every: typing.Union[int, float] = 5 Secrets allow to set secret keys or tokens to a Space without hardcoding them. If you get a ( paths: Union[List[str], str, None] = None ( Those paths can be either files or folders. from_id: str sort: Union[Literal['lastModified'], str, None] = None Programmatically duplicate a Space. ). revision: typing.Optional[str] = None ( ). Pull Requests created programmatically will be in "draft" status. exist_ok: bool = False Create an empty repo on the HuggingFace Hub. symlinks. repo_type: Optional[str] = None If no changes are found, the method returns without committing anything. annotations_creators: typing.Union[typing.List[str], str, NoneType] = None repo_id: str token passed or token is invalid. ( For example, if you want to create a private repository: If you want to change the repository visibility at a later time, you can use the update_repo_visibility() function. If you are remove from favorite list). 'https://huggingface.co/spaces/nateraw/my-dreambooth', : Union[DatasetFilter, str, Iterable[str], None] = None, : Union[Literal['lastModified'], str, None] = None, # List only the text classification datasets, # List only the datasets in russian for language modeling, # List all datasets with "text" in their name, # List all datasets with "text" in their name made by google, "43bd404b159de6fba7c2f4d3264347668d43af25", "2f9618c3a19b9a61add74f70bfb121335aeef666", '815004af1a321eaed1d93f850b2e94b0c0678e42', '47b62b20b20e06b9de610e840282b7e6c3d51190', 'd2343d78b33ac03dade1d525538b02b130d0a3a0', 'dcf4507d99b88db73f3916e2a20169fe74ada6b5582e9af56cfa80f5f3141765', 'vae/diffusion_pytorch_model.safetensors', : Union[ModelFilter, str, Iterable[str], None] = None, # List only the text classification models, # Using `ModelFilter` and `ModelSearchArguments` to find text classification in both PyTorch and TensorFlow, # List only models from the AllenNLP library, # Using `ModelFilter` and `ModelSearchArguments`, # List all models with "bert" in their name, # List all models with "bert" in their name made by google, # Commits are sorted by date (last commit first). This notebook allows you to convert a Kaggle dataset to a Hugging Face dataset. allow_patterns: typing.Union[typing.List[str], str, NoneType] = None The upload is done through a HTTP requests, and doesnt require git or Hugging Face Hub. configured. A class that converts human-readable dataset search parameters into ones Check if the folder is a local clone of the remote_url, ( ) timeout: Optional[float] = None SpaceRuntime. ) ( Model can be private if you pass an acceptable token or are logged in. ) Client error 404, please make sure you are authenticated and that repo_id and URL. You can define your cache location by setting cache_dir parameter (both in hf_hub_download() and snapshot_download()). If token is found in old location but not in new location, it is copied there first. Change a repository to private as shown in the following: The Repository class allows you to interact with files and repositories on the Hub with functions similar to Git commands. repo_id: str By default, create_repo() creates a model repository. ). datasets: typing.Optional[typing.List[str]] = None tags: Optional[List[str]] = None it first using create_repo(). ). commit_message: str = 'commit files to HF hub' metric_args: typing.Union[typing.Dict[str, typing.Any], NoneType] = None means all downloaded files are also cached on your local disk. The caching system was updated in v0.8.0 to become the central metric_config: typing.Optional[str] = None ), RepositoryNotFoundError or HfHubHTTPError, ( ( folder_path: Union[str, Path] Follow the 4 simple steps below to take an existing dataset on Kaggle and convert it to a Hugging Face dataset, which. Hides a comment on a Discussion / Pull Request. api: Optional['HfApi'] = None internally by huggingface_hub.repocard.RepoCard.push_to_hub(). If remote is not passed, will just be updated locally, Delete a tag, both local and remote, if it exists, ( Repository Cards - Hugging Face ( Returns None if no ) You are not billed when your Space is in sleep repo_id: str ) By default, it uses the default template. ( This is useful to get a workflow lastModified: Optional[str] = None Check out the cache limitations section for more details. Hiding a comment is irreversible. Iterator[Discussion]. Note that the .gitattributes file will not be deleted Only upgraded hardware can have a than huggingface-cli login or login() as the token is not persisted on the machine. multi_commits: bool = False The new Space will be created in your account and will be in the same state ). library_version: typing.Optional[str] = None However, in some cases you want to download a file SpaceRuntime. token: Optional[str] = None str or Future. is_done_method: typing.Callable default: typing.Any = None True if the file passed is tracked with git-lfs, False ) Any special glob characters in the The initial order of the operations is not guaranteed! An alternative would be to clone the repo but this requires git and git-lfs to be installed and properly ) private: bool = False push to hub every 5 minutes). repo_type: Optional[str] = None Helper class to wrap the git and git-lfs commands. token: typing.Union[bool, str, NoneType] = None title: typing.Optional[str] = None verify_token: typing.Optional[str] = None valid model-index that will be compatible with the format expected by the ). metrics_id: str endpoint: Optional[str] = None rebase: bool = False Utilities - Hugging Face initialization requires listing all datasets on the Hub which makes it increasingly verbose: bool = False If a value starts repo_id: str Takes as input a list of paths. The content should be a at that particular commit. plan_multi_commits is experimental. datasets: List[str] card_data: CardData This looks like there was an issue in your local git client talking to the hub. to keep their actual filename relative to that folder. template. an iterable of huggingface_hub.hf_api.DatasetInfo objects. Namespace is a username or an organization. The token: Optional[str] = None duplicated_from: typing.Optional[str] = None Unlike a given repo on the Hub (e.g. Hugging Face, https://huggingface.co/maveriq/mymodel/resolve/main/modelling_mymodel.py. reported in the provided model_index. based on fnmatch. If used with blocking=True, will return a tuple containing the post_method: typing.Optional[typing.Callable] = None datasets: typing.Optional[typing.List[str]] = None sha: Optional[str] = None issues. str. Specifying create_branch_ok to True will create the branch to the Contains information about a git commit for a repo on the Hub. filter: Union[str, Iterable[str], None] = None ( repo_id: str source_datasets: typing.Optional[typing.List[str]] = None **kwargs Helper to add, commit, and push files to remote repository on the The default behavior of push_to_hub is to assume an append-only folder. ( Hugging Face Hub API The repository name in the users namespace ) size_categories: typing.Union[typing.List[str], str, NoneType] = None repo_id_or_path: typing.Union[str, pathlib.Path] revision: typing.Optional[str] = None For all parameters capitalization does not **kwargs 2. First item is a list of repo_type: Optional[str] = None ( track_large_files: bool = True By default, it uses the default template, which can be found here: If the remote repo does not exist, a EnvironmentError exception will be thrown. The huggingface_hub library provides functions to download files from the repositories rfilename: str an iterable of huggingface_hub.hf_api.SpaceInfo objects. Get the public list of all the metrics on huggingface.co, ( library_name: Optional[str] = None returns a Future object which will contain the result when executed. token: typing.Optional[str] = None Each sublist will result in a commit on ) ) repo_url (str) The URL from which to clone the repository; token (Union[str, bool], optional) Whether to use the authentication token.It can be: a string which is the token itself; False, which would not use the authentication token; True, which would fetch the authentication token from the local folder and use it (you should be logged in for this to work). Its task_categories: typing.Union[typing.List[str], str, NoneType] = None ) validate_repo_id(): repo_id must be "repo_name" or "namespace/repo_name". run_as_future: bool = False ). Tutorial: How to Remove the Safety Filter in 5 seconds Check if the file passed is tracked with git-lfs. Creates a Pull Request . RepoUrl is returned by HfApi.create_repo. models: Union[str, Iterable[str], None] = None Discover pre-trained models and datasets for your projects or play with the thousands of machine learning apps hosted on the Hub. be overwritten. from huggingface_hub import hf_hub_url from huggingface_hub.utils import filter_repo_objects from huggingface_hub.hf . python -m pip install huggingface_hub huggingface-cli login. List datasets hosted on the Huggingface Hub, given some filters. ) repo_id: str branch: str ) make sure you are authenticated and that repo_id and repo_type are set correctly. Iterable[ModelInfo]. branch: typing.Optional[str] = None ) direction: Optional[Literal[-1]] = None What you should do it build a repo_id and provide it to push_to_hub.Example: # Will default to user namespace tokenizer.push_to_hub("my-tokenizer") # Explicit username . This guide will show you how to: If you want to create a repository on the Hub, you need to log in to your Hugging Face account: Log in to your Hugging Face account with the following command: Alternatively, if you prefer working from a Jupyter or Colaboratory notebook, login with notebook_login(): notebook_login() will launch a widget in your notebook from which you can enter your Hugging Face credentials.
