Update README.md

README.md

@@ -70,7 +70,7 @@ Loss steadily decreased during training, and accuracy remained consistently abov
 from transformers import AutoTokenizer, AutoModelForCausalLM
 from peft import PeftModel
 
-base = "mistralai/Mistral-7B-v0.2"
+base = "mistralai/Mistral-7B-Instruct-v0.2"
 adapter = "Dc-4nderson/transcript_summarizer_model"
 
 tokenizer = AutoTokenizer.from_pretrained(base)
@@ -86,6 +86,8 @@ text = (
 inputs = tokenizer(text, return_tensors="pt")
 outputs = model.generate(**inputs, max_new_tokens=30000)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+
+```
 🧾 License
 
 Released under the MIT License — free for research and commercial use with attribution.