Update README.md

README.md

@@ -9,4 +9,30 @@ datasets:
 library_name: transformers
 ---
 
-base Yi-6B-200k
+## Examples
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_path = 'chinoll/Yi-6b-200k-dpo'
+
+tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)
+
+# Since transformers 4.35.0, the GPT-Q/AWQ model can be loaded using AutoModelForCausalLM.
+model = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    device_map="auto",
+    torch_dtype='auto'
+).eval()
+
+# Prompt content: "hi"
+messages = [
+    {"role": "user", "content": "hi"}
+]
+
+input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
+output_ids = model.generate(input_ids.to('cuda'))
+response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
+
+# Model response: "Hello! How can I assist you today?"
+print(response)
+```