Create how_to_change_inference_backend.md

docs/docs_en/runtime/how_to_change_inference_backend.md

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+# How to change inference backend
+
+Vision models in FastDeploy support a wide range of backends, including
+
+- OpenVINO (support models in Paddle/ONNX formats and inference on CPU only)
+- ONNX Runtime (support models in Paddle/ONNX formats and inference on CPU or GPU）
+- TensorRT (Support models in Paddle/ONNX formats and inference on GPU only
+- Paddle Inference(support models in Paddle format and inference on CPU or GPU)
+
+All the models change its inference backend through RuntimeOption
+
+**Python**
+
+```
+import fastdeploy as fd
+option = fd.RuntimeOption()
+
+# Change inference on CPU/GPU
+option.use_cpu()
+option.use_gpu()
+
+# Change backend
+option.use_paddle_backend() # Paddle Inference
+option.use_trt_backend() # TensorRT
+option.use_openvino_backend() # OpenVINO
+option.use_ort_backend() # ONNX Runtime
+```
+
+**C++**
+
+```
+fastdeploy::RuntimeOption option;
+
+# Change inference on CPU/GPU
+option.UseCpu();
+option.UseGpu();
+
+# Change backend
+option.UsePaddleBackend(); // Paddle Inference
+option.UseTrtBackend(); // TensorRT
+option.UseOpenVINOBackend(); // OpenVINO
+option.UseOrtBackend(); // ONNX Runtime
+```
+
+Please refer to `FastDeploy/examples/vision` for python or c++ inference code of different models.
+
+For more deployment methods of `RuntimeOption`, please refer to [RuntimeOption API](../../docs/api/runtime/runtime_option.md)