format code chunks in readme

README.md

@@ -89,7 +89,7 @@ attn_implementation='sdpa'<br>
 Details can be found on our <a href="https://github.com/Kingsoft-LLM/QZhou-Embedding">GitHub</a>.
 #### Evaluation code usage
 Find our benchmark evaluation code on <a href="https://github.com/Kingsoft-LLM/QZhou-Embedding">GitHub</a>. The mteb benchmark script is **run_mteb_all_v2.py**, and the cmteb benchmark script is **run_cmteb_all.py**. Run the following command:
-```
+```bash
 POOLING_MODE=mean
 normalize=true
 use_instruction=true
@@ -116,7 +116,7 @@ This is a general script that can be used to evaluate other huggingface embeddin
 
 ### Sentence-transformers
 
-```
+```py
 from sentence_transformers import SentenceTransformer
 
 model = SentenceTransformer("Kingsoft-LLM/QZhou-Embedding")
@@ -145,7 +145,7 @@ similarity = model.similarity(query_embeddings, document_embeddings)
 
 ### Huggingface Transformers
 
-```
+```py
 import torch
 import torch.nn.functional as F