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docs/en/quick_start/runtime/python.md

@@ -1,3 +1,54 @@
-# Python Deployment
+English | [中文](../../../cn/quick_start/runtime/python.md)
+# Python Inference
+
+Please check out the FastDeploy is already installed in your environment. You can refer to [FastDeploy Installation](../../build_and_install/) to install the pre-compiled FastDeploy, or customize your installation.
+
+This document shows an inference sample on the CPU using the PaddleClas classification model MobileNetV2 as an example.
+
+## 1. Obtaining the Module
+
+``` python
+import fastdeploy as fd
+
+model_url = "https://bj.bcebos.com/fastdeploy/models/mobilenetv2.tgz"
+fd.download_and_decompress(model_url, path=".")
+```
+
+## 2. Backend Configuration
+
+- For more examples, you can refer to [examples/runtime](https://github.com/PaddlePaddle/FastDeploy/tree/develop/examples/runtime).
+
+``` python
+option = fd.RuntimeOption()
+
+option.set_model_path("mobilenetv2/inference.pdmodel",
+                      "mobilenetv2/inference.pdiparams")
+
+# **** CPU Configuration ****
+option.use_cpu()
+option.use_ort_backend()
+option.set_cpu_thread_num(12)
+
+# Initialise runtime
+runtime = fd.Runtime(option)
+
+# Get model input name
+input_name = runtime.get_input_info(0).name
+
+# Constructing random data for inference
+results = runtime.infer({
+    input_name: np.random.rand(1, 3, 224, 224).astype("float32")
+})
+
+print(results[0].shape)
+```
+When loading is complete, you can get the following output information indicating the initialized backend and the hardware devices.
+```
+[INFO] fastdeploy/fastdeploy_runtime.cc(283)::Init	Runtime initialized with Backend::OrtBackend in device Device::CPU.
+```
+
+## Other Documents
+
+- [Runtime demos on different backends](../../../../examples/runtime/README.md)
+- [Switching hardware and backend for model inference](../../faq/how_to_change_backend.md)
 
-coming soon...