[docs] minor doc fix (huggingface#36127)

fix

examples/pytorch/multiple-choice/README.md

@@ -21,7 +21,7 @@ limitations under the License.
 `run_swag` allows you to fine-tune any model from our [hub](https://huggingface.co/models) (as long as its architecture as a `ForMultipleChoice` version in the library) on the SWAG dataset or your own csv/jsonlines files as long as they are structured the same way. To make it works on another dataset, you will need to tweak the `preprocess_function` inside the script.
 
 ```bash
-python examples/multiple-choice/run_swag.py \
+python examples/pytorch/multiple-choice/run_swag.py \
 --model_name_or_path FacebookAI/roberta-base \
 --do_train \
 --do_eval \