Hub Python Library documentation

Environment variables

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Environment variables

huggingface_hub can be configured using environment variables.

If you are unfamiliar with environment variable, here are generic articles about them on macOS and Linux and on Windows.

This page will guide you through all environment variables specific to huggingface_hub and their meaning.



To configure the Hub base url. You might want to set this variable if your organization is using a Private Hub.

Defaults to "".


To configure the inference api base url. You might want to set this variable if your organization is pointing at an API Gateway rather than directly at the inference api.

Defaults to "".


To configure where huggingface_hub will locally store data. In particular, your token and the cache will be stored in this folder.

Defaults to "~/.cache/huggingface" unless XDG_CACHE_HOME is set.


To configure where repositories from the Hub will be cached locally (models, datasets and spaces).

Defaults to "$HF_HOME/hub" (e.g. "~/.cache/huggingface/hub" by default).


To configure where assets created by downstream libraries will be cached locally. Those assets can be preprocessed data, files downloaded from GitHub, logs,…

Defaults to "$HF_HOME/assets" (e.g. "~/.cache/huggingface/assets" by default).


To configure the User Access Token to authenticate to the Hub. If set, this value will overwrite the token stored on the machine (in "$HF_HOME/token").

See login reference for more details.


Set the verbosity level of the huggingface_hub’s logger. Must be one of {"debug", "info", "warning", "error", "critical"}.

Defaults to "warning".

For more details, see logging reference.


Integer value to define under which size a file is considered as “small”. When downloading files to a local directory, small files will be duplicated to ease user experience while bigger files are symlinked to save disk usage.

For more details, see the download guide.

Boolean values

The following environment variables expect a boolean value. The variable will be considered as True if its value is one of {"1", "ON", "YES", "TRUE"} (case-insensitive). Any other value (or undefined) will be considered as False.


If set, no HTTP calls will me made when trying to fetch files. Only files that are already cached will be accessed. This is useful in case your network is slow and you don’t care about having absolutely the latest version of a file.

Note: even if the latest version of a file is cached, calling hf_hub_download still triggers a HTTP request to check that a new version is not available. Setting HF_HUB_OFFLINE=1 will skip this call which speeds up your loading time.


Authentication is not mandatory for every requests to the Hub. For instance, requesting details about "gpt2" model does not require to be authenticated. However, if a user is logged in, the default behavior will be to always send the token in order to ease user experience (never get a HTTP 401 Unauthorized) when accessing private or gated repositories. For privacy, you can disable this behavior by setting HF_HUB_DISABLE_IMPLICIT_TOKEN=1. In this case, the token will be sent only for “write-access” calls (example: create a commit).

Note: disabling implicit sending of token can have weird side effects. For example, if you want to list all models on the Hub, your private models will not be listed. You would need to explicitly pass token=True argument in your script.


For time consuming tasks, huggingface_hub displays a progress bar by default (using tqdm). You can disable all the progress bars at once by setting HF_HUB_DISABLE_PROGRESS_BARS=1.


If you are on a Windows machine, it is recommended to enable the developer mode or to run huggingface_hub in admin mode. If not, huggingface_hub will not be able to create symlinks in your cache system. You will be able to execute any script but your user experience will be degraded as some huge files might end-up duplicated on your hard-drive. A warning message is triggered to warn you about this behavior. Set HF_HUB_DISABLE_SYMLINKS_WARNING=1, to disable this warning.

For more details, see cache limitations.


Some features of huggingface_hub are experimental. This means you can use them but we do not guarantee they will be maintained in the future. In particular, we might update the API or behavior of such features without any deprecation cycle. A warning message is triggered when using an experimental feature to warn you about it. If you’re comfortable debugging any potential issues using an experimental feature, you can set HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1 to disable the warning.

If you are using an experimental feature, please let us know! Your feedback can help us design and improve it.


By default, some data is collected by HF libraries (transformers, datasets, gradio,..) to monitor usage, debug issues and help prioritize features. Each library defines its own policy (i.e. which usage to monitor) but the core implementation happens in huggingface_hub (see send_telemetry).

You can set HF_HUB_DISABLE_TELEMETRY=1 as environment variable to globally disable telemetry.


Set to True to download files from the Hub using hf_transfer. It’s a Rust-based package that enables faster download (up to x2 speed-up). Be aware that this is still experimental so it might cause issues in your workflow. In particular, it does not support features such as progress bars, resume download, proxies or error handling.

Note: hf_transfer has to be installed separately from Pypi.

From external tools

Some environment variables are not specific to huggingface_hub but still taken into account when they are set.


Boolean value. When set, huggingface-cli tool will not print any ANSI color. See


Used only when HF_HOME is not set!

This is the default way to configure where user-specific non-essential (cached) data should be written on linux machines.

If HF_HOME is not set, the default home will be "$XDG_CACHE_HOME/huggingface" instead of "~/.cache/huggingface".