Update README.md

README.md

@@ -99,11 +99,73 @@ Hugging Face Hub 本身不能自动运行上传的模型，但通过 `Spaces`
 通过这些方式，您可以让模型仓库既支持在线运行，也便于用户离线部署。
 
 ## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+```python
+import os
+import torch
+from model import AutoModel, Config
+
+def load_model(model_path, config_path):
+    """
+    加载模型权重和配置
+    """
+    # 加载配置
+    if not os.path.exists(config_path):
+        raise FileNotFoundError(f"配置文件未找到: {config_path}")
+    print(f"加载配置文件: {config_path}")
+    config = Config()
+    
+    # 初始化模型
+    model = AutoModel(config)
+    
+    # 加载权重
+    if not os.path.exists(model_path):
+        raise FileNotFoundError(f"模型文件未找到: {model_path}")
+    print(f"加载模型权重: {model_path}")
+    state_dict = torch.load(model_path, map_location=torch.device("cpu"))
+    model.load_state_dict(state_dict)
+    model.eval()
+    print("模型加载成功并设置为评估模式。")
+    
+    return model, config
+
+
+def run_inference(model, config):
+    """
+    使用模型运行推理
+    """
+    # 模拟示例输入
+    image = torch.randn(1, 3, 224, 224)  # 图像输入
+    text = torch.randn(1, config.max_position_embeddings, config.hidden_size)  # 文本输入
+    audio = torch.randn(1, config.audio_sample_rate)  # 音频输入
+
+    # 模型推理
+    outputs = model(image, text, audio)
+    vqa_output, caption_output, retrieval_output, asr_output, realtime_asr_output = outputs
+
+    # 打印结果
+    print("\n推理结果:")
+    print(f"VQA output shape: {vqa_output.shape}")
+    print(f"Caption output shape: {caption_output.shape}")
+    print(f"Retrieval output shape: {retrieval_output.shape}")
+    print(f"ASR output shape: {asr_output.shape}")
+    print(f"Realtime ASR output shape: {realtime_asr_output.shape}")
+
+if __name__ == "__main__":
+    # 文件路径
+    model_path = "AutoModel.pth"
+    config_path = "config.json"
+
+    # 加载模型
+    try:
+        model, config = load_model(model_path, config_path)
+
+        # 运行推理
+        run_inference(model, config)
+    except Exception as e:
+        print(f"运行失败: {e}")
+```
 
 ### Direct Use
-
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
 [More Information Needed]