Update README.md

README.md

@@ -69,7 +69,7 @@ print(embedding_max.shape) # expect to be 768
 ```python
 from transformers import AutoModelForSequenceClassification
 
-model_name = "JadenLong/MutBERT"
+model_name = "JadenLong/MutBERT-Human-Ref"
 model = AutoModelForSequenceClassification.from_pretrained(model_name, trust_remote_code=True, num_labels=2)
 ```
 
@@ -80,6 +80,7 @@ Allowed types for RoPE scaling are: `linear` and `dynamic`. To extend the model'
 If you want to scale your model context by 2x:
 
 ```python
+model_name = "JadenLong/MutBERT-Human-Ref"
 model = AutoModel.from_pretrained(model_name,
                                   trust_remote_code=True,
                                   rope_scaling={'type': 'dynamic','factor': 2.0}