Login and logout

The huggingface_hub library allows users to programmatically login and logout the machine to the Hub.

login

( token: typing.Optional[str] = None add_to_git_credential: bool = False new_session: bool = True write_permission: bool = False )

Parameters

token (str, optional) — User access token to generate from https://huggingface.co/settings/token.
add_to_git_credential (bool, defaults to False) — If True, token will be set as git credential. If no git credential helper is configured, a warning will be displayed to the user. If token is None, the value of add_to_git_credential is ignored and will be prompted again to the end user.
new_session (bool, defaults to True) — If True, will request a token even if one is already saved on the machine.
write_permission (bool, defaults to False) — If True, requires a token with write permission.

ValueError — If an organization token is passed. Only personal account tokens are valid to login.
ValueError — If token is invalid.
ImportError — If running in a notebook but ipywidgets is not installed.

The token is persisted in cache and set as a git credential. Once done, the machine is logged in and the access token will be available across all huggingface_hub components. If token is not provided, it will be prompted to the user either with a widget (in a notebook) or via the terminal.

To login from outside of a script, one can also use huggingface-cli login which is a cli command that wraps login().

[login()](/docs/huggingface_hub/v0.15.1/en/package_reference/login#huggingface_hub.login) is a drop-in replacement method for [notebook_login()](/docs/huggingface_hub/v0.15.1/en/package_reference/login#huggingface_hub.notebook_login) as it wraps and extends its capabilities.

When the token is not passed, [login()](/docs/huggingface_hub/v0.15.1/en/package_reference/login#huggingface_hub.login) will automatically detect if the script runs in a notebook or not. However, this detection might not be accurate due to the variety of notebooks that exists nowadays. If that is the case, you can always force the UI by using [notebook_login()](/docs/huggingface_hub/v0.15.1/en/package_reference/login#huggingface_hub.notebook_login) or [interpreter_login()](/docs/huggingface_hub/v0.15.1/en/package_reference/login#huggingface_hub.interpreter_login).

interpreter_login

huggingface_hub.interpreter_login

< source >

( new_session: bool = True write_permission: bool = False )

Parameters

new_session (bool, defaults to True) — If True, will request a token even if one is already saved on the machine.
write_permission (bool, defaults to False) — If True, requires a token with write permission.

Displays a prompt to login to the HF website and store the token.

This is equivalent to login() without passing a token when not run in a notebook. interpreter_login() is useful if you want to force the use of the terminal prompt instead of a notebook widget.

For more details, see login().

notebook_login

huggingface_hub.notebook_login

< source >

( new_session: bool = True write_permission: bool = False )

Parameters

new_session (bool, defaults to True) — If True, will request a token even if one is already saved on the machine.
write_permission (bool, defaults to False) — If True, requires a token with write permission.

Displays a widget to login to the HF website and store the token.

This is equivalent to login() without passing a token when run in a notebook. notebook_login() is useful if you want to force the use of the notebook widget instead of a prompt in the terminal.

Hub Python Library

Login and logout

login

interpreter_login

huggingface_hub.interpreter_login

notebook_login

huggingface_hub.notebook_login

logout

huggingface_hub.logout