Update README.md

README.md

@@ -1,5 +1,4 @@
 ---
-license: apache-2.0
 language:
 - zh
 metrics:
@@ -31,6 +30,19 @@ And you can use `infer.py` to evaluate your model:
 ```shell
 python infer.py --data_path YOUR_DATA_FILE.jsonl
 ```
+
+Models can be loaded by:
+```python
+from tokenization_internlm import InternLMTokenizer
+from modeling_internlm import InternLMForSequenceClassification
+
+tokenizer = InternLMTokenizer.from_pretrained("CaasiHUANG/flames-scorer", trust_remote_code=True)
+model = InternLMForSequenceClassification.from_pretrained("CaasiHUANG/flames-scorer", trust_remote_code=True)
+
+```
+
+
+
 Please note that:
 1. Ensure each entry in `YOUR_DATA_FILE.jsonl` includes the fields: "dimension", "prompt", and "response".
 2. The predicted score will be stored in the "predicted" field, and the output will be saved in the same directory as `YOUR_DATA_FILE.jsonl`.