Updated README.md

README.md

@@ -10,7 +10,7 @@ The model translates structured outputs from a Description Logic (DL) reasoner i
 
 > *“Why does fact A satisfy a class expression while foil B does not?”*
 
-Unlike standard explanations, Lucida focuses on **contrastive reasoning**, highlighting:
+Unlike standard explanations, ReCon focuses on **contrastive reasoning**, highlighting:
 
 * **Common evidence** (shared properties)
 * **Differences** (missing or distinguishing properties)
@@ -81,7 +81,7 @@ base_model = "meta-llama/Llama-3.1-8B-Instruct"
 tokenizer = AutoTokenizer.from_pretrained(base_model)
 base = AutoModelForCausalLM.from_pretrained(base_model)
 
-model = PeftModel.from_pretrained(base, "./recon-lora")
+model = PeftModel.from_pretrained(base, "vanishingMonk/Contrastive_Explainer")
 ```
 
 ---