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/Users/nielsrogge/Documents/python_projecten/huggingface_hub/docs/source/en/package_reference/repository.md
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```python Check if the current checked-out branch is tracked upstream. Args: folder (`str` or `Path`): The folder in which to run the command. Returns: `bool`: `True` if the current checked-out branch is tracked upstream, `False` otherwise. ```
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```python Check the number of commits that would be pushed upstream Args: folder (`str` or `Path`): The folder in which to run the command. upstream (`str`, *optional*): The name of the upstream repository with which the comparison should be made. Returns: `int`: Number of commits that would be pushed upstream were a `git push` to proceed. ```
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The `Repository` utility offers several methods which can be launched asynchronously: - `git_push` - `git_pull` - `push_to_hub` - The `commit` context manager See below for utilities to manage such asynchronous methods.
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```python Helper class to wrap the git and git-lfs commands. The aim is to facilitate interacting with huggingface.co hosted model or dataset repos, though not a lot here (if any) is actually specific to huggingface.co. <Tip warning={true}>
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<Tip warning={true}> [`Repository`] is deprecated in favor of the http-based alternatives implemented in [`HfApi`]. Given its large adoption in legacy code, the complete removal of [`Repository`] will only happen in release `v1.0`. For more details, please read https://huggingface.co/docs/huggingface_hub/concepts/git_vs_http. </Tip> ``` - commands_failed - commands_in_progress - wait_for_commands
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```python Utility to follow commands launched asynchronously. ```
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The `huggingface_hub` package exposes a `logging` utility to control the logging level of the package itself. You can import it as such: ```py from huggingface_hub import logging ``` Then, you may define the verbosity in order to update the amount of logs you'll see: ```python from huggingface_hub import logging logging.set_verbosity_error() logging.set_verbosity_warning() logging.set_verbosity_info() logging.set_verbosity_debug()
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logging.set_verbosity(...) ``` The levels should be understood as follows: - `error`: only show critical logs about usage which may result in an error or unexpected behavior. - `warning`: show logs that aren't critical but usage may result in unintended behavior. Additionally, important informative logs may be shown. - `info`: show most logs, including some verbose logging regarding what is happening under the hood.
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- `info`: show most logs, including some verbose logging regarding what is happening under the hood. If something is behaving in an unexpected manner, we recommend switching the verbosity level to this in order to get more information. - `debug`: show all logs, including some internal logs which may be used to track exactly what's happening under the hood.
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Error fetching docstring for logging.get_verbosity: module 'logging' has no attribute 'get_verbosity'
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Error fetching docstring for logging.set_verbosity: module 'logging' has no attribute 'set_verbosity'
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Error fetching docstring for logging.set_verbosity_info: module 'logging' has no attribute 'set_verbosity_info'
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Error fetching docstring for logging.set_verbosity_debug: module 'logging' has no attribute 'set_verbosity_debug'
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Error fetching docstring for logging.set_verbosity_warning: module 'logging' has no attribute 'set_verbosity_warning'
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Error fetching docstring for logging.set_verbosity_error: module 'logging' has no attribute 'set_verbosity_error'
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Error fetching docstring for logging.disable_propagation: module 'logging' has no attribute 'disable_propagation'
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Error fetching docstring for logging.enable_propagation: module 'logging' has no attribute 'enable_propagation'
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The methods exposed below are relevant when modifying modules from the `huggingface_hub` library itself. Using these shouldn't be necessary if you use `huggingface_hub` and you don't modify them.
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Error fetching docstring for logging.get_logger: module 'logging' has no attribute 'get_logger'
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Progress bars are a useful tool to display information to the user while a long-running task is being executed (e.g. when downloading or uploading files). `huggingface_hub` exposes a [`~utils.tqdm`] wrapper to display progress bars in a consistent way across the library. By default, progress bars are enabled. You can disable them globally by setting `HF_HUB_DISABLE_PROGRESS_BARS` environment variable. You can also enable/disable them using [`~utils.enable_progress_bars`] and
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environment variable. You can also enable/disable them using [`~utils.enable_progress_bars`] and [`~utils.disable_progress_bars`]. If set, the environment variable has priority on the helpers. ```py >>> from huggingface_hub import snapshot_download >>> from huggingface_hub.utils import are_progress_bars_disabled, disable_progress_bars, enable_progress_bars
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>>> # Disable progress bars globally >>> disable_progress_bars() >>> # Progress bar will not be shown ! >>> snapshot_download("gpt2") >>> are_progress_bars_disabled() True >>> # Re-enable progress bars globally >>> enable_progress_bars() ```
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You can also enable or disable progress bars for specific groups. This allows you to manage progress bar visibility more granularly within different parts of your application or library. When a progress bar is disabled for a group, all subgroups under it are also affected unless explicitly overridden. ```py # Disable progress bars for a specific group >>> disable_progress_bars("peft.foo") >>> assert not are_progress_bars_disabled("peft") >>> assert not are_progress_bars_disabled("peft.something")
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>>> assert not are_progress_bars_disabled("peft") >>> assert not are_progress_bars_disabled("peft.something") >>> assert are_progress_bars_disabled("peft.foo") >>> assert are_progress_bars_disabled("peft.foo.bar")
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# Re-enable progress bars for a subgroup >>> enable_progress_bars("peft.foo.bar") >>> assert are_progress_bars_disabled("peft.foo") >>> assert not are_progress_bars_disabled("peft.foo.bar") # Use groups with tqdm # No progress bar for `name="peft.foo"` >>> for _ in tqdm(range(5), name="peft.foo"): ... pass
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# Use groups with tqdm # No progress bar for `name="peft.foo"` >>> for _ in tqdm(range(5), name="peft.foo"): ... pass # Progress bar will be shown for `name="peft.foo.bar"` >>> for _ in tqdm(range(5), name="peft.foo.bar"): ... pass 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 5/5 [00:00<00:00, 117817.53it/s] ```
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```python Check if progress bars are disabled globally or for a specific group. This function returns whether progress bars are disabled for a given group or globally. It checks the `HF_HUB_DISABLE_PROGRESS_BARS` environment variable first, then the programmatic settings. Args: name (`str`, *optional*): The group name to check; if None, checks the global setting. Returns: `bool`: True if progress bars are disabled, False otherwise. ```
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```python Disable progress bars either globally or for a specified group. This function updates the state of progress bars based on a group name. If no group name is provided, all progress bars are disabled. The operation respects the `HF_HUB_DISABLE_PROGRESS_BARS` environment variable's setting. Args: name (`str`, *optional*): The name of the group for which to disable the progress bars. If None, progress bars are disabled globally. Raises: Warning: If the environment variable precludes changes. ```
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```python Enable progress bars either globally or for a specified group. This function sets the progress bars to enabled for the specified group or globally if no group is specified. The operation is subject to the `HF_HUB_DISABLE_PROGRESS_BARS` environment setting. Args: name (`str`, *optional*): The name of the group for which to enable the progress bars. If None, progress bars are enabled globally. Raises: Warning: If the environment variable precludes changes. ```
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In some environments, you might want to configure how HTTP calls are made, for example if you are using a proxy. `huggingface_hub` let you configure this globally using [`configure_http_backend`]. All requests made to the Hub will then use your settings. Under the hood, `huggingface_hub` uses `requests.Session` so you might want to refer to the [`requests` documentation](https://requests.readthedocs.io/en/latest/user/advanced) to learn more about the available parameters.
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parameters. Since `requests.Session` is not guaranteed to be thread-safe, `huggingface_hub` creates one session instance per thread. Using sessions allows us to keep the connection open between HTTP calls and ultimately save time. If you are integrating `huggingface_hub` in a third-party library and wants to make a custom call to the Hub, use [`get_session`] to get a Session configured by your users (i.e. replace any `requests.get(...)` call by `get_session().get(...)`).
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```python Configure the HTTP backend by providing a `backend_factory`. Any HTTP calls made by `huggingface_hub` will use a Session object instantiated by this factory. This can be useful if you are running your scripts in a specific environment requiring custom configuration (e.g. custom proxy or certifications).
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Use [`get_session`] to get a configured Session. Since `requests.Session` is not guaranteed to be thread-safe, `huggingface_hub` creates 1 Session instance per thread. They are all instantiated using the same `backend_factory` set in [`configure_http_backend`]. A LRU cache is used to cache the created sessions (and connections) between calls. Max size is 128 to avoid memory leaks if thousands of threads are spawned.
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See [this issue](https://github.com/psf/requests/issues/2766) to know more about thread-safety in `requests`. Example: ```py import requests from huggingface_hub import configure_http_backend, get_session
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def backend_factory() -> requests.Session: session = requests.Session() session.proxies = {"http": "http://10.10.1.10:3128", "https": "https://10.10.1.11:1080"} return session
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configure_http_backend(backend_factory=backend_factory)
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session = get_session() ``` ```
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```python Get a `requests.Session` object, using the session factory from the user. Use [`get_session`] to get a configured Session. Since `requests.Session` is not guaranteed to be thread-safe, `huggingface_hub` creates 1 Session instance per thread. They are all instantiated using the same `backend_factory` set in [`configure_http_backend`]. A LRU cache is used to cache the created sessions (and connections) between calls. Max size is 128 to avoid memory leaks if thousands of threads are spawned.
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See [this issue](https://github.com/psf/requests/issues/2766) to know more about thread-safety in `requests`. Example: ```py import requests from huggingface_hub import configure_http_backend, get_session
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def backend_factory() -> requests.Session: session = requests.Session() session.proxies = {"http": "http://10.10.1.10:3128", "https": "https://10.10.1.11:1080"} return session
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configure_http_backend(backend_factory=backend_factory)
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session = get_session() ``` ```
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`huggingface_hub` defines its own HTTP errors to refine the `HTTPError` raised by `requests` with additional information sent back by the server.
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[`~utils.hf_raise_for_status`] is meant to be the central method to "raise for status" from any request made to the Hub. It wraps the base `requests.raise_for_status` to provide additional information. Any `HTTPError` thrown is converted into a `HfHubHTTPError`. ```py import requests from huggingface_hub.utils import hf_raise_for_status, HfHubHTTPError
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response = requests.post(...) try: hf_raise_for_status(response) except HfHubHTTPError as e: print(str(e)) # formatted message e.request_id, e.server_message # details returned by server # Complete the error message with additional information once it's raised e.append_to_message("\n`create_commit` expects the repository to exist.") raise ```
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```python Internal version of `response.raise_for_status()` that will refine a potential HTTPError. Raised exception will be an instance of `HfHubHTTPError`. This helper is meant to be the unique method to raise_for_status when making a call to the Hugging Face Hub.
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This helper is meant to be the unique method to raise_for_status when making a call to the Hugging Face Hub. Example: ```py import requests from huggingface_hub.utils import get_session, hf_raise_for_status, HfHubHTTPError response = get_session().post(...) try: hf_raise_for_status(response) except HfHubHTTPError as e: print(str(e)) # formatted message e.request_id, e.server_message # details returned by server
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e.append_to_message(" `create_commit` expects the repository to exist.") raise ``` Args: response (`Response`): Response from the server. endpoint_name (`str`, *optional*): Name of the endpoint that has been called. If provided, the error message will be more complete. <Tip warning={true}> Raises when the request has failed:
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- [`~utils.RepositoryNotFoundError`] If the repository to download from cannot be found. This may be because it doesn't exist, because `repo_type` is not set correctly, or because the repo is `private` and you do not have access. - [`~utils.GatedRepoError`] If the repository exists but is gated and the user is not on the authorized list. - [`~utils.RevisionNotFoundError`] If the repository exists but the revision couldn't be find. - [`~utils.EntryNotFoundError`]
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- [`~utils.RevisionNotFoundError`] If the repository exists but the revision couldn't be find. - [`~utils.EntryNotFoundError`] If the repository exists but the entry (e.g. the requested file) couldn't be find. - [`~utils.BadRequestError`] If request failed with a HTTP 400 BadRequest error. - [`~utils.HfHubHTTPError`] If request failed for a reason not listed above.
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</Tip> ```
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Here is a list of HTTP errors thrown in `huggingface_hub`.
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`HfHubHTTPError` is the parent class for any HF Hub HTTP error. It takes care of parsing the server response and format the error message to provide as much information to the user as possible.
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```python HTTPError to inherit from for any custom HTTP Error raised in HF Hub. Any HTTPError is converted at least into a `HfHubHTTPError`. If some information is sent back by the server, it will be added to the error message. Added details: - Request id from "X-Request-Id" header if exists. If not, fallback to "X-Amzn-Trace-Id" header if exists. - Server error message from the header "X-Error-Message". - Server error message if we can found one in the response body.
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Example: ```py import requests from huggingface_hub.utils import get_session, hf_raise_for_status, HfHubHTTPError response = get_session().post(...) try: hf_raise_for_status(response) except HfHubHTTPError as e: print(str(e)) # formatted message e.request_id, e.server_message # details returned by server
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e.append_to_message(" `create_commit` expects the repository to exist.") raise ``` ```
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```python Raised when trying to access a hf.co URL with an invalid repository name, or with a private repo name the user does not have access to. Example:
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Example: ```py >>> from huggingface_hub import model_info >>> model_info("<non_existent_repository>") (...) huggingface_hub.utils._errors.RepositoryNotFoundError: 401 Client Error. (Request ID: PvMw_VjBMjVdMz53WKIzP) Repository Not Found for url: https://huggingface.co/api/models/%3Cnon_existent_repository%3E. Please make sure you specified the correct `repo_id` and `repo_type`. If the repo is private, make sure you are authenticated. Invalid username or password. ``` ```
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```python Raised when trying to access a gated repository for which the user is not on the authorized list. Note: derives from `RepositoryNotFoundError` to ensure backward compatibility. Example:
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Example: ```py >>> from huggingface_hub import model_info >>> model_info("<gated_repository>") (...) huggingface_hub.utils._errors.GatedRepoError: 403 Client Error. (Request ID: ViT1Bf7O_026LGSQuVqfa) Cannot access gated repo for url https://huggingface.co/api/models/ardent-figment/gated-model. Access to model ardent-figment/gated-model is restricted and you are not in the authorized list. Visit https://huggingface.co/ardent-figment/gated-model to ask for access. ``` ```
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```python Raised when trying to access a hf.co URL with a valid repository but an invalid revision. Example: ```py >>> from huggingface_hub import hf_hub_download >>> hf_hub_download('bert-base-cased', 'config.json', revision='<non-existent-revision>') (...) huggingface_hub.utils._errors.RevisionNotFoundError: 404 Client Error. (Request ID: Mwhe_c3Kt650GcdKEFomX) Revision Not Found for url: https://huggingface.co/bert-base-cased/resolve/%3Cnon-existent-revision%3E/config.json. ``` ```
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```python Raised when trying to access a hf.co URL with a valid repository and revision but an invalid filename. Example: ```py >>> from huggingface_hub import hf_hub_download >>> hf_hub_download('bert-base-cased', '<non-existent-file>') (...) huggingface_hub.utils._errors.EntryNotFoundError: 404 Client Error. (Request ID: 53pNl6M0MxsnG5Sw8JA6x) Entry Not Found for url: https://huggingface.co/bert-base-cased/resolve/main/%3Cnon-existent-file%3E. ``` ```
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```python Raised by `hf_raise_for_status` when the server returns a HTTP 400 error. Example: ```py >>> resp = requests.post("hf.co/api/check", ...) >>> hf_raise_for_status(resp, endpoint_name="check") huggingface_hub.utils._errors.BadRequestError: Bad request for check endpoint: {details} (Request ID: XXX) ``` ```
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```python Raised when trying to access a file or snapshot that is not on the disk when network is disabled or unavailable (connection issue). The entry may exist on the Hub. Note: `ValueError` type is to ensure backward compatibility. Note: `LocalEntryNotFoundError` derives from `HTTPError` because of `EntryNotFoundError` even when it is not a network issue. Example:
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Example: ```py >>> from huggingface_hub import hf_hub_download >>> hf_hub_download('bert-base-cased', '<non-cached-file>', local_files_only=True) (...) huggingface_hub.utils._errors.LocalEntryNotFoundError: Cannot find the requested files in the disk cache and outgoing traffic has been disabled. To enable hf.co look-ups and downloads online, set 'local_files_only' to False. ``` ```
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```python Raised when a request is made but `HF_HUB_OFFLINE=1` is set as environment variable. ```
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`huggingface_hub` includes an helper to send telemetry data. This information helps us debug issues and prioritize new features. Users can disable telemetry collection at any time by setting the `HF_HUB_DISABLE_TELEMETRY=1` environment variable. Telemetry is also disabled in offline mode (i.e. when setting HF_HUB_OFFLINE=1). If you are maintainer of a third-party library, sending telemetry data is as simple as making a call to [`send_telemetry`].
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If you are maintainer of a third-party library, sending telemetry data is as simple as making a call to [`send_telemetry`]. Data is sent in a separate thread to reduce as much as possible the impact for users.
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Error fetching docstring for utils.send_telemetry: module 'utils' has no attribute 'send_telemetry'
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`huggingface_hub` includes custom validators to validate method arguments automatically. Validation is inspired by the work done in [Pydantic](https://pydantic-docs.helpmanual.io/) to validate type hints but with more limited features.
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[`~utils.validate_hf_hub_args`] is a generic decorator to encapsulate methods that have arguments following `huggingface_hub`'s naming. By default, all arguments that has a validator implemented will be validated. If an input is not valid, a [`~utils.HFValidationError`] is thrown. Only the first non-valid value throws an error and stops the validation process. Usage: ```py >>> from huggingface_hub.utils import validate_hf_hub_args
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>>> @validate_hf_hub_args ... def my_cool_method(repo_id: str): ... print(repo_id) >>> my_cool_method(repo_id="valid_repo_id") valid_repo_id >>> my_cool_method("other..repo..id") huggingface_hub.utils._validators.HFValidationError: Cannot have -- or .. in repo_id: 'other..repo..id'. >>> my_cool_method(repo_id="other..repo..id") huggingface_hub.utils._validators.HFValidationError: Cannot have -- or .. in repo_id: 'other..repo..id'.
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>>> @validate_hf_hub_args ... def my_cool_auth_method(token: str): ... print(token) >>> my_cool_auth_method(token="a token") "a token" >>> my_cool_auth_method(use_auth_token="a use_auth_token") "a use_auth_token" >>> my_cool_auth_method(token="a token", use_auth_token="a use_auth_token") UserWarning: Both `token` and `use_auth_token` are passed (...). `use_auth_token` value will be ignored. "a token" ```
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Error fetching docstring for utils.validate_hf_hub_args: module 'utils' has no attribute 'validate_hf_hub_args'
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Error fetching docstring for utils.HFValidationError: module 'utils' has no attribute 'HFValidationError'
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Validators can also be used individually. Here is a list of all arguments that can be validated.
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Error fetching docstring for utils.validate_repo_id: module 'utils' has no attribute 'validate_repo_id'
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Not exactly a validator, but ran as well.
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Error fetching docstring for utils.smoothly_deprecate_use_auth_token: module 'utils' has no attribute 'smoothly_deprecate_use_auth_token'
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Check the [`HfApi`] documentation page for the reference of methods to manage your Space on the Hub. - Duplicate a Space: [`duplicate_space`] - Fetch current runtime: [`get_space_runtime`] - Manage secrets: [`add_space_secret`] and [`delete_space_secret`] - Manage hardware: [`request_space_hardware`] - Manage state: [`pause_space`], [`restart_space`], [`set_space_sleep_time`]
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```python Contains information about the current runtime of a Space.
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Args: stage (`str`): Current stage of the space. Example: RUNNING. hardware (`str` or `None`): Current hardware of the space. Example: "cpu-basic". Can be `None` if Space is `BUILDING` for the first time. requested_hardware (`str` or `None`): Requested hardware. Can be different than `hardware` especially if the request has just been made. Example: "t4-medium". Can be `None` if no hardware has been requested yet. sleep_time (`int` or `None`):
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has just been made. Example: "t4-medium". Can be `None` if no hardware has been requested yet. sleep_time (`int` or `None`): Number of seconds the Space will be kept alive after the last request. By default (if value is `None`), the Space will never go to sleep if it's running on an upgraded hardware, while it will go to sleep after 48 hours on a free 'cpu-basic' hardware. For more details, see https://huggingface.co/docs/hub/spaces-gpus#sleep-time. raw (`dict`):
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raw (`dict`): Raw response from the server. Contains more information about the Space runtime like number of replicas, number of cpu, memory size,... ```
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```python Enumeration of hardwares available to run your Space on the Hub. Value can be compared to a string: ```py assert SpaceHardware.CPU_BASIC == "cpu-basic" ``` Taken from https://github.com/huggingface/moon-landing/blob/main/server/repo_types/SpaceInfo.ts#L73 (private url). ```
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```python Enumeration of possible stage of a Space on the Hub. Value can be compared to a string: ```py assert SpaceStage.BUILDING == "BUILDING" ``` Taken from https://github.com/huggingface/moon-landing/blob/main/server/repo_types/SpaceInfo.ts#L61 (private url). ```
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```python Enumeration of persistent storage available for your Space on the Hub. Value can be compared to a string: ```py assert SpaceStorage.SMALL == "small" ``` Taken from https://github.com/huggingface/moon-landing/blob/main/server/repo_types/SpaceHardwareFlavor.ts#L24 (private url). ```
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```python Contains information about the current variables of a Space. Args: key (`str`): Variable key. Example: `"MODEL_REPO_ID"` value (`str`): Variable value. Example: `"the_model_repo_id"`. description (`str` or None): Description of the variable. Example: `"Model Repo ID of the implemented model"`. updatedAt (`datetime` or None): datetime of the last update of the variable (if the variable has been updated at least once). ```
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Webhooks are a foundation for MLOps-related features. They allow you to listen for new changes on specific repos or to all repos belonging to particular users/organizations you're interested in following. To learn more about webhooks on the Huggingface Hub, you can read the Webhooks [guide](https://huggingface.co/docs/hub/webhooks). <Tip> Check out this [guide](../guides/webhooks_server) for a step-by-step tutorial on how to setup your webhooks server and deploy it as a Space. </Tip>
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deploy it as a Space. </Tip> <Tip warning={true}> This is an experimental feature. This means that we are still working on improving the API. Breaking changes might be introduced in the future without prior notice. Make sure to pin the version of `huggingface_hub` in your requirements. A warning is triggered when you use an experimental feature. You can disable it by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as an environment variable. </Tip>
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The server is a [Gradio](https://gradio.app/) app. It has a UI to display instructions for you or your users and an API to listen to webhooks. Implementing a webhook endpoint is as simple as decorating a function. You can then debug it by redirecting the Webhooks to your machine (using a Gradio tunnel) before deploying it to a Space.
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```python The [`WebhooksServer`] class lets you create an instance of a Gradio app that can receive Huggingface webhooks. These webhooks can be registered using the [`~WebhooksServer.add_webhook`] decorator. Webhook endpoints are added to the app as a POST endpoint to the FastAPI router. Once all the webhooks are registered, the `launch` method has to be called to start the app.
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It is recommended to accept [`WebhookPayload`] as the first argument of the webhook function. It is a Pydantic model that contains all the information about the webhook event. The data will be parsed automatically for you. Check out the [webhooks guide](../guides/webhooks_server) for a step-by-step tutorial on how to setup your WebhooksServer and deploy it on a Space. <Tip warning={true}> `WebhooksServer` is experimental. Its API is subject to change in the future. </Tip> <Tip warning={true}>
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`WebhooksServer` is experimental. Its API is subject to change in the future. </Tip> <Tip warning={true}> You must have `gradio` installed to use `WebhooksServer` (`pip install --upgrade gradio`). </Tip>
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Args: ui (`gradio.Blocks`, optional): A Gradio UI instance to be used as the Space landing page. If `None`, a UI displaying instructions about the configured webhooks is created. webhook_secret (`str`, optional): A secret key to verify incoming webhook requests. You can set this value to any secret you want as long as you also configure it in your [webhooks settings panel](https://huggingface.co/settings/webhooks). You
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you also configure it in your [webhooks settings panel](https://huggingface.co/settings/webhooks). You can also set this value as the `WEBHOOK_SECRET` environment variable. If no secret is provided, the webhook endpoints are opened without any security.
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Example: ```python import gradio as gr from huggingface_hub import WebhooksServer, WebhookPayload with gr.Blocks() as ui: ... app = WebhooksServer(ui=ui, webhook_secret="my_secret_key") @app.add_webhook("/say_hello") async def hello(payload: WebhookPayload): return {"message": "hello"} app.launch() ``` ```
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