Update utils.py

utils.py

@@ -24,6 +24,7 @@ from datasets import load_dataset
 import evaluate
 
 
+
 def is_stop_word_or_prefix(s: str, stop_words: list) -> bool:
     for stop_word in stop_words:
         if s.endswith(stop_word):
@@ -59,6 +60,7 @@ def load_tokenizer_and_model(base_model, load_8bit=False):
     else:
         device = "cpu"
 
+    
     tokenizer = AutoTokenizer.from_pretrained(base_model, use_fast = True, use_auth_token=True)
     if device == "cuda":
         model = AutoModelForCausalLM.from_pretrained(