>>> from huggingface_hub import list_user_repos

# List repos for the authenticated user
>>> repos = list(list_user_repos())
>>> for repo in repos[:3]:
...     print(f"{repo.id} ({repo.type}) - {repo.storage} bytes")
username/my-model (model) - 4828692480 bytes
username/my-dataset (dataset) - 598427559 bytes
username/my-space (space) - 120620146 bytes

# List repos from an organization
>>> repos = list(list_user_repos(namespace="my-org"))

>>> hf repos ls
>>> hf repos ls --namespace my-org --type model
>>> hf repos ls --limit 0 --format json | jq '.[].id'

>>> from huggingface_hub import create_repo
>>> create_repo("lysandre/test-model")
'https://huggingface.co/lysandre/test-model'

>>> hf repos create lysandre/test-model
Successfully created lysandre/test-model on the Hub.
Your repo is now available at https://huggingface.co/lysandre/test-model

>>> from huggingface_hub import create_repo
>>> create_repo("lysandre/test-dataset", repo_type="dataset")
'https://huggingface.co/datasets/lysandre/test-dataset'

>>> hf repos create lysandre/test-dataset --repo-type dataset

>>> from huggingface_hub import create_repo
>>> create_repo("lysandre/test-private", visibility="private")

>>> hf repos create lysandre/test-private --private

>>> from huggingface_hub import create_repo
>>> create_repo("lysandre/test-model", region="us")

>>> delete_repo(repo_id="lysandre/my-corrupted-dataset", repo_type="dataset")

>>> delete_repo(repo_id="lysandre/my-corrupted-dataset", repo_type="dataset", missing_ok=True)

>>> hf repos delete lysandre/my-corrupted-dataset --repo-type dataset

>>> from huggingface_hub import duplicate_repo

# Duplicate a Space
>>> duplicate_repo("multimodalart/dreambooth-training", repo_type="space", private=False)
RepoUrl('https://huggingface.co/spaces/nateraw/dreambooth-training',...)

# Duplicate a dataset
>>> duplicate_repo("openai/gdpval", repo_type="dataset")
RepoUrl('https://huggingface.co/datasets/nateraw/gdpval',...)

>>> from huggingface_hub import duplicate_repo
>>> repo_url = duplicate_repo("openai/gdpval", repo_type="dataset")
>>> repo_url.files_copy_pending
True

>>> from huggingface_hub import search_spaces
>>> results = list(search_spaces("generate image"))
>>> results[0].id
'mrfakename/Z-Image-Turbo'

>>> from huggingface_hub import copy_files

# Copy a single file from one repo to another
>>> copy_files(
...     "hf://username/source-model/config.json",
...     "hf://username/dest-model/config.json",
... )

# Copy an entire folder (a trailing "/" copies the folder *contents*, rsync-style)
>>> copy_files(
...     "hf://datasets/username/my-dataset/data/",
...     "hf://datasets/username/my-dataset-copy/data/",
... )

# Copy a single file between repositories
>>> hf cp hf://username/source-model/config.json hf://username/dest-model/config.json

# Copy a file from a repo to your local machine
>>> hf repos cp hf://username/my-model/config.json ./config.json

# Upload a local file to a repository
>>> hf repos cp ./model.safetensors hf://username/my-model/model.safetensors

>>> from huggingface_hub import create_branch, create_tag

# Create a branch on a Space repo from `main` branch
>>> create_branch("Matthijs/speecht5-tts-demo", repo_type="space", branch="handle-dog-speaker")

# Create a tag on a Dataset repo from `v0.1-release` branch
>>> create_tag("bigcode/the-stack", repo_type="dataset", revision="v0.1-release", tag="v0.1.1", tag_message="Bump release version.")

>>> hf repos branch create Matthijs/speecht5-tts-demo handle-dog-speaker --repo-type space
>>> hf repos tag create bigcode/the-stack v0.1.1 --repo-type dataset --revision v0.1-release -m "Bump release version."

>>> from huggingface_hub import list_repo_refs
>>> list_repo_refs("bigcode/the-stack", repo_type="dataset")
GitRefs(
   branches=[
         GitRefInfo(name='main', ref='refs/heads/main', target_commit='18edc1591d9ce72aa82f56c4431b3c969b210ae3'),
         GitRefInfo(name='v1.1.a1', ref='refs/heads/v1.1.a1', target_commit='f9826b862d1567f3822d3d25649b0d6d22ace714')
   ],
   converts=[],
   tags=[
         GitRefInfo(name='v1.0', ref='refs/tags/v1.0', target_commit='c37a8cd1e382064d8aced5e05543c5f7753834da')
   ]
)

>>> from huggingface_hub import update_repo_settings
>>> update_repo_settings(repo_id=repo_id, private=True)

>>> hf repos settings lysandre/test-private --private true

>>> from huggingface_hub import HfApi

>>> api = HfApi()
>>> api.update_repo_settings(repo_id=repo_id, gated="auto")  # Set automatic gating for a model

>>> hf repos settings lysandre/test-private --gated auto

>>> from huggingface_hub import move_repo
>>> move_repo(from_id="Wauplin/cool-model", to_id="huggingface/cool-model")

>>> hf repos move Wauplin/cool-model huggingface/cool-model