 closely later, like when you’re waiting for your model to finish training. 🤗


	Copied
>>> from accelerate import Accelerator
>>> from huggingface_hub import HfFolder, Repository, whoami
>>> from tqdm.auto import tqdm
>>> from pathlib import Path
>>> import os


>>> def get_full_repo_name(model_id: str, organization: str = None, token: str = None):
...     if token is None:
...         token = HfFolder.get_token()
...     if organization is No