commit modelcard

README.md

@@ -1,4 +1,4 @@
-```yaml
+---
 tags:
 - mteb
 model-index:
@@ -1082,8 +1082,7 @@ model-index:
       value: 60.864524843400616
     - type: f1
       value: 79.41246877404483
-
-```
+---
 
 ZNV Embedding utilizes a 6B LLM (Large Language Model) for embedding, achieving excellent embedding results.
 
@@ -1203,5 +1202,4 @@ with torch.no_grad():
     output = znv_model(["请问你的电话号码是多少？","可以告诉我你的手机号吗？"])
     cos_sim = F.cosine_similarity(output[0],output[1],dim=0)
     print(cos_sim)
-```
-
+```