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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.
This tool allows you to interact with the Hugging Face Hub directly from a terminal. For example, you can login to your account, create a repository, upload and download files, etc. It also comes with handy features to configure your machine or manage your cache.
$ 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}
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. For more details, see login().
Oct 12, 2022 · How do you login with the below, but inputting the login token directly so there is no pop up? huggingface_hub import notebook_login. notebook_login() Many thanks
Hugging Face is an innovative technology company and community at the forefront of artificial intelligence development.
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.
Sep 3, 2022 · I simply want to login to Huggingface HUB using an access token. I signed up, read the card, accepted its terms by checking the box, setup a conda env, installed huggingface-cli, and then executed huggingface-cli login.
