Update README.md

README.md

@@ -11,6 +11,42 @@ tags:
 - trl
 ---
 
+```
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+base_model = 'bigdefence/Llama-3.1-8B-bigdefence-Ko'
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+
+tokenizer = AutoTokenizer.from_pretrained(base_model)
+model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype=torch.float16, device_map="auto")
+model.eval()
+def generate_response(prompt, model, tokenizer, text_streamer,max_new_tokens=256):
+    inputs = tokenizer(prompt, return_tensors="pt", add_special_tokens=True)
+    inputs = inputs.to(model.device)
+
+    with torch.no_grad():
+        outputs = model.generate(
+            **inputs,
+            streamer=text_streamer,
+            max_new_tokens=max_new_tokens,
+            do_sample=True,
+            pad_token_id=tokenizer.eos_token_id
+        )
+
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response.replace(prompt, '').strip()
+key = "안녕?"
+prompt = f"""Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+{key}
+
+### Response:
+"""
+text_streamer = TextStreamer(tokenizer)
+response = generate_response(prompt, model, tokenizer,text_streamer)
+print(response)
+```
 # Uploaded  model
 
 - **Developed by:** bigdefence