diff --git a/deploy/slim/prune/README_en.md b/deploy/slim/prune/README_en.md
index 163754e5b480582d3e9ba62fef1dc2343cd7c062..d854c10707bc26d0273a26c335eef68e8633e74b 100644
--- a/deploy/slim/prune/README_en.md
+++ b/deploy/slim/prune/README_en.md
@@ -175,6 +175,7 @@ python deploy/slim/prune/pruning_and_finetune.py -c configs/det/det_mv3_db.yml -
 ## Export inference model
 
 After getting the model after pruning and finetuning we, can export it as inference_model for predictive deployment:
+
 ```bash
 
 python deploy/slim/prune/export_prune_model.py -c configs/det/det_mv3_db.yml -o Global.pretrain_weights=./output/det_db/best_accuracy Global.test_batch_size_per_card=1 Global.save_inference_dir=inference_model