update

README.md

@@ -25,12 +25,12 @@ GEB-1.3B在MMLU、C-Eval和CMMLU等常用基准测试中表现优异，超过了
 ```python
 from transformers import AutoTokenizer, AutoModel
 import torch
-model = AutoModel.from_pretrained("/GEBAGI/GEB-1.3", trust_remote_code=True).bfloat16().cuda()
-tokenizer = AutoTokenizer.from_pretrained("/GEBAGI/GEB-1.3", trust_remote_code=True)
-while True:
-    query = "你好"
-    response, history = model.chat(tokenizer, query, history=[])
-    print(response)
+model = AutoModel.from_pretrained("GEB-AGI/geb-1.3b", trust_remote_code=True).bfloat16().cuda()
+tokenizer = AutoTokenizer.from_pretrained("GEB-AGI/geb-1.3b", trust_remote_code=True)
+
+query = "你好"
+response, history = model.chat(tokenizer, query, history=[])
+print(response)
 ```
 ## 协议