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In a lot of cases, you must be authenticated with a Hugging Face account to interact with the Hub: download private repos, upload files, create PRs,… Create an account if you don’t already have one, and then sign in to get your User Access Token from your Settings page .
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
$ pip install huggingface_hub # You already have it if you installed transformers or datasets $ huggingface-cli login # Log in using a token from huggingface.co/settings/tokens # Create a model or dataset repo from the CLI if needed $ huggingface-cli repo create repo_name --type {model, dataset, space}
Oct 1, 2023 · Sign up and log in at https://huggingface.co/ . Notice it is not: https://huggingface.com. Create an Access Token. After logging in, click your avatar icon in the upper-right corner, click...
Hugging Face
The huggingface_hub library allows users to programmatically login and logout the machine to the Hub. For more details about authentication, check out this section. login. huggingface_hub.login. < source > ( token: Optional = None add_to_git_credential: bool = False new_session: bool = True write_permission: bool = False ) Parameters.
Sign in with Hugging Face. You can use the HF OAuth / OpenID connect flow to create a “Sign in with HF” flow in any website or App. This will allow users to sign in to your website or app using their HF account, by clicking a button similar to this one:
The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the hundreds of machine learning apps hosted on the Hub.
HuggingFace Models is a prominent platform in the machine learning community, providing an extensive library of pre-trained models for various natural language processing (NLP) tasks.
