Update README.md

README.md

@@ -115,6 +115,47 @@ Edge-deployed DMind-2 can monitor market dynamics 24/7, promptly alerting users
 
 ## Usage Example
 
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# 加载模型和分词器
+model = AutoModelForCausalLM.from_pretrained(
+    "zai-org/GLM-4.5-Air",
+    torch_dtype=torch.float16,
+    device_map="auto",
+    trust_remote_code=True
+)
+tokenizer = AutoTokenizer.from_pretrained(
+    "zai-org/GLM-4.5-Air",
+    trust_remote_code=True
+)
+
+# 示例对话
+prompt = """<|im_start|>user
+Please analyze the following investment opportunity:
+1. Project: Emerging Layer2 DEX Protocol
+2. TVL: $50M, growth rate 200%/month
+3. Token Economics: 70% circulating, 30% team locked for 2 years
+4. My risk tolerance: Medium
+Please provide investment advice and risk analysis.
+<|im_end|>
+<|im_start|>assistant
+"""
+
+# 生成回复
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(
+    **inputs,
+    max_length=2048,
+    temperature=0.7,
+    do_sample=True,
+    pad_token_id=tokenizer.eos_token_id
+)
+
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
 
 ## Privacy & Security