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# Python 预测样例

**如果您看到这个目录，我们会假设您已经对Paddle Inference有了一定的了解。如果您刚刚接触Paddle Inference不久，建议您[访问这里](https://paddle-inference.readthedocs.io/en/latest/#)对Paddle Inference做一个初步的认识。**

在这个目录下，我们为大家准备了图像中使用的分类，检测，以及NLP使用Ernie/Bert模型等Python测试样例。


## 前提准备

为了能够顺利运行样例，请您在环境中安装**1.7**或以上版本的Paddle，具体的安装方式请参照[飞桨官方页面](https://www.paddlepaddle.org.cn/)的指示方式。


**验证是否安装成功：**

1）Shell下进入python解释器  

2） 输入`import paddle.fluid`，再输入`paddle.fluid.install_check.run_check()`

如果出现`Your Paddle Fluid is installed successfully!`， 说明您已经成功安装。

有了Paddle Python环境后，我们开始进入各个目录进行样例测试吧～

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