Rename huggingface_cli to hf (#39630)

* Rename huggingface_cli to hf

* hfh

docs/source/en/custom_models.md

@@ -271,7 +271,7 @@ The model is ready to be pushed to the Hub now. Log in to your Hugging Face acco
 <hfoption id="huggingface-CLI">
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 </hfoption>

docs/source/en/model_sharing.md

@@ -28,7 +28,7 @@ To share a model to the Hub, you need a Hugging Face [account](https://hf.co/joi
 <hfoption id="huggingface-CLI">
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 </hfoption>

docs/source/en/quicktour.md

@@ -49,7 +49,7 @@ notebook_login()
 Make sure the [huggingface_hub[cli]](https://huggingface.co/docs/huggingface_hub/guides/cli#getting-started) package is installed and run the command below. Paste your User Access Token when prompted to log in.
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 </hfoption>

docs/source/en/tasks/semantic_segmentation.md

@@ -289,7 +289,7 @@ You could also create and use your own dataset if you prefer to train with the [
           }
      )
 
-     # step 3: push to Hub (assumes you have ran the huggingface-cli login command in a terminal/notebook)
+     # step 3: push to Hub (assumes you have ran the hf auth login command in a terminal/notebook)
      dataset.push_to_hub("your-name/dataset-repo")
 
      # optionally, you can push to a private repo on the Hub