change README.md

scripts/infer.py

@@ -0,0 +1,42 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+def generate_response(model_name: str, prompt: str, max_new_tokens: int = 512) -> str:
+
+    model = AutoModelForCausalLM.from_pretrained(
+        model_name,
+        torch_dtype="auto",
+        device_map="auto"
+    )
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+    messages = [
+        {"role": "system", "content": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant."},
+        {"role": "user", "content": prompt}
+    ]
+    text = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True
+    )
+
+    model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+    generated_ids = model.generate(
+        **model_inputs,
+        max_new_tokens=max_new_tokens
+    )
+
+    generated_ids = [
+        output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+    ]
+
+    response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+
+    return response
+
+if __name__ == "__main__":
+    model_name = "BlenderLLM"
+    prompt = "Please drow a cube."
+    result = generate_response(model_name, prompt)
+    print("Generated Response:\n", result)