Update README.md

README.md

@@ -154,7 +154,7 @@ python ./dataspeech/main.py "ylacombe/expresso" \
   --repo_id "expresso-tags"
 ```
 
-Note that the script will be faster if you have GPUs at your disposal. It will automatically scale up to every GPU available in your environment.
+Note that the script will be faster if you have GPUs at your disposal. It will automatically scale up to every GPU available in your environment. To control which GPUs to run the script on consider indicating via `CUDA_VISIBLE_DEVICES` environment variable.
 
 The resulting dataset will be pushed to the Hugging Face Hub under your Hugging Face handle. Mine was pushed to [reach-vb/expresso-tags](https://huggingface.co/datasets/reach-vb/expresso-tags).
 We can see that the dataset is annotated with continuous features like "speaking_rate" and "snr".