Update README.md

README.md

@@ -16,6 +16,8 @@ language:
 
 # How to use
 
+
+### Hugggingface
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
@@ -33,6 +35,28 @@ prompt = tokenizer.apply_chat_template(conversation=messages, add_generation_pro
 pipe(prompt, max_new_tokens=100, do_sample=False, temperature=0.0, return_full_text=False)
 ```
 
+
+### VLLM
+```python
+from vllm import LLM, SamplingParams
+
+sampling_params = SamplingParams(temperature=0.0, max_tokens=100)
+llm = LLM(model="lightblue/karasu-7B-chat")
+
+messages = [{"role": "system", "content": "あなたはAIアシスタントです。"}]
+messages.append({"role": "user", "content": "イギリスの首相は誰ですか？"})
+prompt = llm.llm_engine.tokenizer.apply_chat_template(conversation=messages, add_generation_prompt=True, tokenize=False)
+prompts = [prompt]
+
+outputs = llm.generate(prompts, sampling_params)
+for output in outputs:
+    prompt = output.prompt
+    generated_text = output.outputs[0].text
+    print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
+```
+
+
+
 # Base checkpoint
 [lightblue/karasu-7B](https://huggingface.co/lightblue/karasu-7B)