From 96b7c212c44ed6c96518e7aa8d759bff98a77e5f Mon Sep 17 00:00:00 2001
From: Maxime Ellerbach <maxime.ellerbach@huggingface.co>
Date: Wed, 4 Mar 2026 15:08:49 +0100
Subject: [PATCH] chore(docs): updating deprecated huggingface-cli to hf
 (#3071)

* chore(docs): updating deprecated huggingface-cli to hf

* small typo in my-org
---
 docs/source/earthrover_mini_plus.mdx | 4 ++--
 docs/source/envhub.mdx               | 4 ++--
 docs/source/il_robots.mdx            | 8 ++++----
 docs/source/lekiwi.mdx               | 4 ++--
 4 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/docs/source/earthrover_mini_plus.mdx b/docs/source/earthrover_mini_plus.mdx
index cfc3a2eef..37986a7a2 100644
--- a/docs/source/earthrover_mini_plus.mdx
+++ b/docs/source/earthrover_mini_plus.mdx
@@ -170,13 +170,13 @@ Once you can drive the robot well, you can start recording data to train AI mode
 We use Hugging Face to store your data online. First, log in with your token from [Hugging Face settings](https://huggingface.co/settings/tokens):
 
 ```bash
-huggingface-cli login --token ${HUGGINGFACE_TOKEN} --add-to-git-credential
+hf auth login --token ${HUGGINGFACE_TOKEN} --add-to-git-credential
 ```
 
 Store your Hugging Face username:
 
 ```bash
-HF_USER=$(huggingface-cli whoami | head -n 1)
+HF_USER=$(hf auth whoami | awk -F': *' 'NR==1 {print $2}')
 echo $HF_USER
 ```
 
diff --git a/docs/source/envhub.mdx b/docs/source/envhub.mdx
index df103d0dd..36c08a8b3 100644
--- a/docs/source/envhub.mdx
+++ b/docs/source/envhub.mdx
@@ -155,10 +155,10 @@ Upload your repository to Hugging Face:
 pip install huggingface_hub
 
 # Login to Hugging Face
-huggingface-cli login
+hf auth login
 
 # Create a new repository
-huggingface-cli repo create my-custom-env --type space --org my-org
+hf repo create my-org/my-custom-env
 
 # Initialize git and push
 git init
diff --git a/docs/source/il_robots.mdx b/docs/source/il_robots.mdx
index bad88f88e..e49132a8e 100644
--- a/docs/source/il_robots.mdx
+++ b/docs/source/il_robots.mdx
@@ -159,7 +159,7 @@ We use the Hugging Face hub features for uploading your dataset. If you haven't
 Add your token to the CLI by running this command:
 
 ```bash
-huggingface-cli login --token ${HUGGINGFACE_TOKEN} --add-to-git-credential
+hf auth login --token ${HUGGINGFACE_TOKEN} --add-to-git-credential
 ```
 
 Then store your Hugging Face repository name in a variable:
@@ -327,7 +327,7 @@ You can look for other LeRobot datasets on the hub by searching for `LeRobot` [t
 You can also push your local dataset to the Hub manually, running:
 
 ```bash
-huggingface-cli upload ${HF_USER}/record-test ~/.cache/huggingface/lerobot/{repo-id} --repo-type dataset
+hf upload ${HF_USER}/record-test ~/.cache/huggingface/lerobot/{repo-id} --repo-type dataset
 ```
 
 #### Record function
@@ -491,7 +491,7 @@ If your local computer doesn't have a powerful GPU you could utilize Google Cola
 Once training is done, upload the latest checkpoint with:
 
 ```bash
-huggingface-cli upload ${HF_USER}/act_so101_test \
+hf upload ${HF_USER}/act_so101_test \
   outputs/train/act_so101_test/checkpoints/last/pretrained_model
 ```
 
@@ -499,7 +499,7 @@ You can also upload intermediate checkpoints with:
 
 ```bash
 CKPT=010000
-huggingface-cli upload ${HF_USER}/act_so101_test${CKPT} \
+hf upload ${HF_USER}/act_so101_test${CKPT} \
   outputs/train/act_so101_test/checkpoints/${CKPT}/pretrained_model
 ```
 
diff --git a/docs/source/lekiwi.mdx b/docs/source/lekiwi.mdx
index b339225d8..7e7c1a680 100644
--- a/docs/source/lekiwi.mdx
+++ b/docs/source/lekiwi.mdx
@@ -279,13 +279,13 @@ We use the Hugging Face hub features for uploading your dataset. If you haven't
 Add your token to the CLI by running this command:
 
 ```bash
-huggingface-cli login --token ${HUGGINGFACE_TOKEN} --add-to-git-credential
+hf auth login --token ${HUGGINGFACE_TOKEN} --add-to-git-credential
 ```
 
 Then store your Hugging Face repository name in a variable:
 
 ```bash
-HF_USER=$(huggingface-cli whoami | head -n 1)
+HF_USER=$(hf auth whoami | awk -F': *' 'NR==1 {print $2}')
 echo $HF_USER
 ```