Update README.md

README.md

@@ -40,21 +40,6 @@ inputs = tokenizer(input_text, return_tensors="pt").cuda()
 outputs = model.generate(**inputs, max_length=128)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
-This code will output the following result:
-```
-def quick_sort(arr):
-    if len(arr) <= 1:
-        return arr
-    pivot = arr[0]
-    left = []
-    right = []
-    for i in range(1, len(arr)):
-        if arr[i] < pivot:
-            left.append(arr[i])
-        else:
-            right.append(arr[i])
-    return quick_sort(left) + [pivot] + quick_sort(right)
-```
 
 #### 2）Code Insertion
 ```python
@@ -78,10 +63,7 @@ inputs = tokenizer(input_text, return_tensors="pt").cuda()
 outputs = model.generate(**inputs, max_length=128)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True)[len(input_text):])
 ```
-This code will output the following result:
-```
-   for i in range(1, len(arr)):
-```
+
 #### 3）Repository Level Code Completion
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM