Update README.md

README.md

@@ -44,7 +44,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 
 model_id = "Qwen/Qwen3-0.6B"
-adapter_id = "AxelDlv00/EULAI-Qwen3-0.6B-SFT"
+adapter_id = "AxelDlv00/EULAI"
 
 tokenizer = AutoTokenizer.from_pretrained(adapter_id)
 model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
@@ -53,9 +53,9 @@ model = PeftModel.from_pretrained(model, adapter_id)
 prompt = "We collect your GPS data continuously even when the application is closed."
 messages = [{"role": "user", "content": prompt}]
 
-inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to("cuda")
-outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.1)
+inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, enable_thinking=False, return_tensors="pt").to("cuda")
 
+outputs = model.generate(inputs, max_new_tokens=512, temperature=0.1)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```