Update README.md

README.md

@@ -30,8 +30,8 @@ In addition, Doge uses Dynamic Mask Attention as sequence transformation and can
 ```python
 >>> from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig, TextStreamer
 
->>> tokenizer = AutoTokenizer.from_pretrained("wubingheng/Doge_medical_chat-197M")
->>> model = AutoModelForCausalLM.from_pretrained("wubingheng/Doge_medical_chat-197M", trust_remote_code=True)
+>>> tokenizer = AutoTokenizer.from_pretrained("wubingheng/Doge-197M-Medical-SFT")
+>>> model = AutoModelForCausalLM.from_pretrained("wubingheng/Doge-197M-Medical-SFT", trust_remote_code=True)
 
 >>> generation_config = GenerationConfig(
 ...     max_new_tokens=256,