Update README.md

README.md

@@ -7,6 +7,7 @@ language:
 pipeline_tag: translation
 tags:
 - translate
+- awq
 ---
 # **Seagull-13b-translation-AWQ 📇**
 ![Seagull-typewriter](./Seagull-typewriter-pixelated.png)
@@ -64,7 +65,7 @@ It follows only **ChatML** format.
 ```
 
 #### Example
-**I highly recommend to use vllm. I will write a guide for quick and easy inference if requested.**
+**I highly recommend to inference model with vllm. I will write a guide for quick and easy inference if requested.**
 
 Since, chat_template already contains insturction format above.
 You can use the code below.
@@ -74,7 +75,8 @@ device = "cuda" # the device to load the model onto
 model = AutoModelForCausalLM.from_pretrained("kuotient/Seagull-13B-translation")
 tokenizer = AutoTokenizer.from_pretrained("kuotient/Seagull-13B-translation")
 messages = [
-    {"role": "user", "content": "바나나는 원래 하얀색이야?"},
+    {"role": "system", "content", "주어진 문장을 한국어로 번역하세요."}
+    {"role": "user", "content": "Here are five examples of nutritious foods to serve your kids."},
 ]
 encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")