Update README.md

README.md

@@ -105,7 +105,13 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 device = "cuda"
 model = AutoModelForCausalLM.from_pretrained("PipableAI/pip-code-to-doc-1.3b").to(device)
 tokenizer = AutoTokenizer.from_pretrained("PipableAI/pip-code-to-doc-1.3b")
-
+prompt = f"""
+<function_code>
+def example_function(x):
+    return x * 2
+</function_code>
+<question>Give one line description of the python code above in natural language.</question>
+<doc>"""
 inputs = tokenizer(text, return_tensors="pt")
 outputs = model.generate(**inputs, max_new_tokens=300)
 tokenizer.decode(outputs[0], skip_special_tokens=True).split('<doc>')[-1].split('</doc>')[0]