diff --git a/docs/source/basic_tutorials/gated_model_access.md b/docs/source/basic_tutorials/gated_model_access.md
index dfa0f1bc..5a79d45f 100644
--- a/docs/source/basic_tutorials/gated_model_access.md
+++ b/docs/source/basic_tutorials/gated_model_access.md
@@ -1,13 +1,5 @@
 ### Serving Private & Gated Models
 
-If the model you wish to serve is behind gated access or the model repository on Hugging Face Hub is private, and you have the access to the model, you can provide your Hugging Face Hub access token. To do so, simply head to [Hugging Face Hub tokens page](https://huggingface.co/settings/tokens), copy a token with READ access and export `HUGGING_FACE_HUB_TOKEN=<YOUR READ TOKEN>` in CLI.
+If the model you wish to serve is behind gated access or the model repository on Hugging Face Hub is private, and you have access to the model, you can provide your Hugging Face Hub access token. You can generate and copy a read token from [Hugging Face Hub tokens page](https://huggingface.co/settings/tokens)
 
-If you would like to do it through Docker, you can provide your token like below.
-
-```shell
-model=meta-llama/Llama-2-7b-chat-hf
-volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
-token=<your cli READ token>
-
-docker run --gpus all --shm-size 1g -e HUGGING_FACE_HUB_TOKEN=$token -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.0.0 --model-id $model
-```
\ No newline at end of file
+If you're using the CLI, set the `HUGGING_FACE_HUB_TOKEN` environment variable.