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README_zh.md
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@@ -41,7 +41,7 @@ ModelScope开源了数百个(当前600+)模型，涵盖自然语言处理、计
<p align="center"> <p align="center">
<br> <br>
<img src="https://modelscope.oss-cn-beijing.aliyuncs.com/resource/inference.gif" width="1024"/> <img src="data/resource/inference.gif" width="1024"/>
<br> <br>
<p> <p>
@@ -129,7 +129,7 @@ ModelScope开源了数百个(当前600+)模型，涵盖自然语言处理、计
给定一张图片，你可以使用如下代码进行人像抠图. 给定一张图片，你可以使用如下代码进行人像抠图.
![image](https://resouces.modelscope.cn/document/docdata/2023-2-16_20:53/dist/ModelScope%20Library%E6%95%99%E7%A8%8B/resources/1656989748829-9ab3aa9b-461d-44f8-98fb-c85bc6f670f9.png) ![image](data/resource/portrait_input.png)
```python ```python
>>> import cv2 >>> import cv2
@@ -140,7 +140,7 @@ ModelScope开源了数百个(当前600+)模型，涵盖自然语言处理、计
>>> cv2.imwrite('result.png', result['output_img']) >>> cv2.imwrite('result.png', result['output_img'])
``` ```
输出图像如下 输出图像如下
![image](https://resouces.modelscope.cn/document/docdata/2023-2-16_20:53/dist/ModelScope%20Library%E6%95%99%E7%A8%8B/resources/1656989768092-5470f8ac-cda8-4703-ac98-dbb6fd675b34.png) ![image](data/resource/portrait_output.png)
对于微调和评估模型， 你需要通过十多行代码构建dataset和trainer，调用`trainer.train()`和`trainer.evaluate()`即可。 对于微调和评估模型， 你需要通过十多行代码构建dataset和trainer，调用`trainer.train()`和`trainer.evaluate()`即可。

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