Update README.md

README.md

@@ -12,19 +12,26 @@ To distinguish the recognition performance of each part, prefix the file names o
 and prefix the file names of part3 with `fold-e-`.
 
 Download the pre-trained Sentence-BERT model and tokenizer from the following URL：
-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.
+
+`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
 
 
 Environment：
+
+```bash
 cd ../../qwen2_audio_baseline
 pip install -r requirements.txt
+```
 
 You can also use a mirror source to speed up the process.
-pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
+`pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple`
 
-Run:
+- Run
+```bash
 sh qwen_audio_test.sh
+```