Update README.md

README.md

@@ -11,12 +11,53 @@ tags:
 - trl
 ---
 
-# Uploaded  model
-
-- **Developed by:** lsef
+- **Developed by:** lwef
 - **License:** apache-2.0
 - **Finetuned from model :** beomi/Llama-3-Open-Ko-8B
 
+# korean dialogue summary fine-tuned model
+# how to use
+```python
+prompt_template = '''
+아래 대화를 요약해 주세요. 대화 형식은 '#대화 참여자#: 대화 내용'입니다.
+### 대화 >>>{dialogue}
+
+### 요약 >>>'''
+
+if True:
+    from unsloth import FastLanguageModel
+    model, tokenizer = FastLanguageModel.from_pretrained(
+        model_name = "lwef/llama3-8B-ko-dialogue-summary-finetuned", # YOUR MODEL YOU USED FOR TRAINING
+        max_seq_length = 2048,
+        dtype = None,
+        load_in_4bit = True,
+    )
+    FastLanguageModel.for_inference(model) # Enable native 2x faster inference
+dialogue = '''#P01#: 아 행삶 과제 너무 어려워... 5쪽 쓸게 없는데 ㅡㅡ #P02#: 몬냐몬냐너가더잘써 ㅎㅎ #P01#: 5쪽 대충 의식의 흐름대로 쭉 써야지..이제 1쪽씀 ;; 5쪽 에는 네줄만 적어야지 #P02#: 안대... 뭔가분량중요할거같아 거의꽉채워서쓰셈 #P01#: 못써 쓸말업써 #P02#: 이거중간대체여?? #P01#: ㄴㄴ 그냥 과제임 그래서 더 짜증남'''
+
+formatted_prompt = prompt_template.format(dialogue=dialogue)
+
+# 토크나이징
+inputs = tokenizer(
+    formatted_prompt,
+    return_tensors="pt"
+).to("cuda")
+
+outputs = model.generate(
+    **inputs,
+    max_new_tokens = 128,
+    eos_token_id=tokenizer.eos_token_id, # EOS 토큰을 사용하여 명시적으로 출력의 끝을 지정.
+    use_cache = True
+)
+decoded_outputs = tokenizer.batch_decode(outputs, skip_special_tokens=True)
+result = decoded_outputs[0]
+
+print(result)
+result = result.split('### 요약 >>>')[-1].strip()
+print(result)
+```
+
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+I highly recommend checking the Unsloth notebook.