Update README.md

README.md

@@ -11,11 +11,19 @@ Place the WAV and JSON files in `dev_data`.
 To distinguish the recognition performance of each part, prefix the file names of part1 with `fold-d-`, prefix the file names of part2 with `fold-a-` `fold-b-` `fold-c-`, 
 and prefix the file names of part3 with `fold-e-`.
 
-Download the pre-trained Sentence-BERT model and tokenizer from the following URL：
+Download the pre-trained Sentence-BERT model and tokenizer from the following URL
+and Place the downloaded pre-trained model and tokenizer inside the `../../qwen2_audio_baseline/Bert_pretrain`
 
-`git clone https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/tree/main`
+- Example commands
+  
+```
+git clone https://huggingface.co/PeacefulData/2025_DCASE_AudioQA_Baselines
+cd 2025_DCASE_AudioQA_Baselines
+mkdir Bert_pretrain
+cd Bert_pretrain
+git clone https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/tree/main
+```
 
-Place the downloaded pre-trained model and tokenizer inside the `../../qwen2_audio_baseline/Bert_pretrain`
 
 Get the API for qwen2-audio-instruct from the following URL：
 https://help.aliyun.com/zh/model-studio/get-api-key?spm=a2c4g.11186623.0.0.4eee4823sRBTDW&accounttraceid=3dc788b6beba4fd8a4415f2eff7b4ed5prhq