Update README.md

README.md

@@ -7,7 +7,7 @@ license: apache-2.0
 <!-- Provide a quick summary of what the model is/does. -->
 base_model: Qwen/Qwen2.5-7B-Instruct
 
-This is an MTIPA-7B merged LoRA version. If you are unable to directly use [MTIPA-7B-LoRA](https://huggingface.co/LLMMINE/MTIPA-7B-PositionTask/tree/main), please load the model directly
+**This is an MTIPA-7B merged LoRA version.** If you are unable to directly use [MTIPA-7B-LoRA](https://huggingface.co/LLMMINE/MTIPA-7B-PositionTask/tree/main), please load the model directly
 
 It should be noted that the MTIPA, TIPA, and training data for this model are all from Chinese, and support for other languages may not be sufficient. If you need to train a model specific to a particular language or for a general purpose, please refer to our paper and GitHub
 
@@ -17,7 +17,7 @@ This model is trained on the MTIPA dataset, and its function is to predict the p
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 base_model = AutoModelForCausalLM.from_pretrained(
-    "MTIPA-7B-POSITION-MERGE",
+    "LLMMINE/MTIPA-7B-POSITION-MERGE",
     trust_remote_code=True,
     torch_dtype="auto",
     device_map="auto")