How to deploy models in the PaddlePaddle framework?

There are several common methods for deploying models in the PaddlePaddle framework.

1. PaddleLite is a lightweight deployment engine provided by PaddlePaddle specifically for mobile deployment, supporting platforms such as Android and iOS. With PaddleLite, models can be converted into offline models suitable for mobile devices and run on them.
2. With Paddle Serving, a deployment framework provided by PaddlePaddle, models can be deployed as services for other applications to access via API calls. This enables the deployment of models to servers and the provision of API interfaces for other applications to utilize.
3. By utilizing the PaddlePaddle Inference API, users can call PaddlePaddle models for inference through Python code. This API allows for integrating models into one’s own applications in order to achieve model inference capabilities.

The above are some common deployment methods for PaddlePaddle models, the specific choice of which method to use depends on the deployment scenario and requirements. You can choose the appropriate deployment method based on your specific situation.