Update README.md

README.md

@@ -16,18 +16,25 @@ license: apache-2.0
 ## Code Example
 
 ```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers import AutoTokenizer
+import transformers
+import torch
 
-model_id = "macadeliccc/WestLake-7B-v2-laser-truthy-dpo"
-tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = "macadeliccc/WestLake-7B-v2-laser-truthy-dpo"
+messages = [{"role": "user", "content": "What is a large language model?"}]
 
-model = AutoModelForCausalLM.from_pretrained(model_id)
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
 
-text = "Create an idea for a TV show and write a short pilot script"
-inputs = tokenizer(text, return_tensors="pt")
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
 
-outputs = model.generate(**inputs, max_new_tokens=4096)
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
 ## Evaluations