Add pipeline usage to the model card

README.md

@@ -7,7 +7,29 @@ This is a codebert model for detecting Python clone codes, fine-tuned on the dat
 
 # How to use
 
-To use the model, you can follow the instructions in the original source code at https://github.com/sangHa0411/CloneDetection/blob/main/inference.py. A more general inference code may be published later.
+To use the model, you can follow the original inference source code at https://github.com/sangHa0411/CloneDetection/blob/main/inference.py.
+
+More conveniently, a pipeline for this model has been implemented, and you can initialize it with only two lines of code:
+```python
+from transformers import pipeline
+
+pipe = pipeline(model="Lazyhope/python-clone-detection", trust_remote_code=True)
+```
+To use it, pass a tuple of code pairs:
+```python
+code1 = """def token_to_inputs(feature):
+    inputs = {}
+    for k, v in feature.items():
+        inputs[k] = torch.tensor(v).unsqueeze(0)
+
+    return inputs"""
+code2 = """def f(feature):
+    return {k: torch.tensor(v).unsqueeze(0) for k, v in feature.items()}"""
+
+is_clone = pipe((code1, code2))
+is_clone
+# {False: 1.3705984201806132e-05, True: 0.9999862909317017}
+```
 
 # Credits