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brew

Install hf with Homebrew

Client library for huggingface.co hub. Version 1.22.0 via Homebrew; verified 2026-07-04.

agent safety

Agent safety answer

hf controls Hugging Face model, dataset, and Space workflows.

Credential access

Reads Hugging Face tokens, cache files, repository credentials, and environment variables.

Remote mutation

Can upload, delete, and change models, datasets, and Spaces.

Publish/artifact risk

Publishes ML artifacts, datasets, and app spaces.

Recommended control

Gate upload, delete, login, repo, and token commands.

Agent-use guidance

Allow public model inspection; require approval for uploads, deletes, private repo access, and token use.

install

Additional install commands

macOS

Homebrewverified ยท 100%
brew install hf

local Homebrew formula metadata

overview

Package summary

Client library for huggingface.co hub

Commands and aliases

  • hf
  • huggingface-cli
  • tiny-agents

history

Project history and usage

`hf` is the command-line interface distributed with Hugging Face's Hub client tooling. It gives terminal users and scripts direct access to authentication, downloads, uploads, repository management, cache management, Jobs, Spaces, datasets, models, buckets, and related Hub operations.

Project history

The command comes from the `huggingface_hub` project, Hugging Face's official Python client for the Hub. The library grew with the Hub itself: first as a Python API and `huggingface-cli` utility for interacting with models, datasets, and repositories, then as a broader developer tool for HTTP uploads, cache management, inference clients, Jobs, and agent workflows.

In July 2025 Hugging Face announced the rename from `huggingface-cli` to `hf`. The stated reason was both ergonomics and command organization: the old executable name was long, and the command surface had grown enough that the project adopted a clearer resource-action pattern such as `hf auth login`, `hf download`, `hf upload`, and `hf repo`.

The v1.0 Hugging Face Hub announcement described this CLI evolution as part of a five-year effort to make `huggingface_hub` the foundation layer for open machine learning. In that framing, the CLI moved from a simple command-line helper into a comprehensive ML operations interface, while legacy patterns such as the Git-based `Repository` class and older token helpers were removed in favor of newer HTTP-first APIs.

Adoption history

The CLI followed Hugging Face's rise as a central exchange for open ML artifacts. It is documented as part of `huggingface_hub`, installable through the core Python package, a standalone installer, `uvx hf`, and Homebrew. The Homebrew formula gives non-Python-first users a conventional package-manager route while still delivering the Hub CLI.

The executable list in the input records both `hf` and `huggingface-cli`, reflecting the transition period where existing automation may still call the legacy command name. Hugging Face's own blog post positioned the shorter command as the path for future CLI organization.

How it is used

`hf auth login` stores credentials for Hub operations; the environment-variable documentation says the token path defaults to `$HF_HOME/token`, which is normally `~/.cache/huggingface/token`. Other common commands download and upload files, create and manage repositories, inspect or remove local cache entries, run Jobs, work with Spaces, and interact with models, datasets, collections, endpoints, buckets, and webhooks.

For package users, `hf` is the terminal complement to the Python API. It is used in CI pipelines, model publishing scripts, cache cleanup, large-folder uploads, private-repository downloads, and agent/tooling workflows that need a stable command-line interface to the Hub.

Why package nerds care

`hf` is significant because it packages a cloud ML platform into a single Unix-style command with predictable subcommands. It is also a snapshot of the Python packaging-to-system-packaging boundary: the same tool can arrive through pip, a standalone installer, uvx, or Homebrew, and its credential/cache conventions must behave consistently across those routes.

The rename from `huggingface-cli` to `hf` is package-nerd notable because it created the usual compatibility question around executable names, aliases, formula names, shell completion, and scripts written before the CLI redesign.

Timeline

  • 2020s: `huggingface_hub` developed as Hugging Face's Python client for Hub models, datasets, Spaces, and repository operations.
  • 2025-07-25: Hugging Face announced that the CLI had been renamed from `huggingface-cli` to `hf`.
  • 2025: The CLI used a resource-action command pattern for auth, download, upload, repo, cache, and Jobs workflows.
  • 2025: Hugging Face described the Hub client v1.0 as the result of five years of building the foundation of open machine learning.
  • Package-manager era: Homebrew packages the CLI as `hf`, while the input still records the legacy `huggingface-cli` executable for compatibility.

Related projects

  • `hf` is related to `huggingface_hub`, the Hugging Face Hub, HfApi, HfFileSystem, Hugging Face Jobs, Spaces, Storage Buckets, Inference Endpoints, Tiny Agents, and the legacy `huggingface-cli` command.

security posture

No protected-tool coverage found yet

No matching local secret-handling manifest was found for hf. Nucleus package metadata is still published here so future coverage has a stable package URL.

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • Homebrew bottle metadata is available for 6 platform targets.
  • Installs with 4 runtime dependencies.
  • Build metadata lists 2 build dependencies.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Credential files

Credential-bearing paths to review before unattended agent runs.

Unix
~/.cache/huggingface/token

executables

Installed executables

CommandKindExposureNote
hfcliglobal executable
huggingface-clicliglobal executable
tiny-agentscliglobal executable

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-07-08
manager version1.22.0
manager updated2026-07-04
local dataok
upstreamnot checked
latest detectednot detected

https://huggingface.co/docs/huggingface_hub/guides/cli

install metadata

Package metadata

Package keybrew:hf
Version1.22.0
Package managerHomebrew
Package manager pagehttps://formulae.brew.sh/formula/hf
Homepagehttps://huggingface.co/docs/huggingface_hub/guides/cli
Repositoryhttps://github.com/huggingface/huggingface_hub
Upstream docshttps://huggingface.co/docs/huggingface_hub/guides/cli
LicenseApache-2.0
Source archivehttps://files.pythonhosted.org/packages/77/ea/dc54b4dda5841cb3a7812a178695be776e7c15c597887c2ed892f17d015a/huggingface_hub-1.22.0.tar.gz
Last updated2026-07-04T14:39:31Z
Pulseupdated
Dependenciescertifi, git-lfs, libyaml, python@3.14
Build dependenciespkgconf, rust
Bottleavailable (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namehf
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Combined YAML source

View the package source record on GitHub.

combined/hf.yml

Used sources

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated agent safety answer
  • curated configuration and credential file locations
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment