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Update 4.0 基于Hugging Face -Transformers的预训练模型微调.md

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@ -125,8 +125,8 @@ Encoder-decoder | BART, T5, Marian, mBART |摘要生成、翻译、生成式问
>或单击[Open in Colab](https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter1/section3.ipynb)以打开包含其它管道应用代码示例的 Google Colab 笔记本。 >或单击[Open in Colab](https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter1/section3.ipynb)以打开包含其它管道应用代码示例的 Google Colab 笔记本。
如果您想在本地运行示例，我们建议您查看[设置](https://huggingface.co/course/chapter0)。 如果您想在本地运行示例，我们建议您查看[设置](https://huggingface.co/course/chapter0)。
## 3. Behind the pipeline ## 3. Behind the pipeline
>本节代码[Open in Colab](https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section2_pt.ipynb) (PyTorch) >本节代码:[Open in Colab](https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section2_pt.ipynb) (PyTorch)<br>
[YouTube视频：what happend inside the pipeline function](https://youtu.be/1pedAIvTWXk) >YouTube视频：[what happend inside the pipeline function](https://youtu.be/1pedAIvTWXk)
让我们从一个完整的例子开始，看看当我们在第1节中执行以下代码时，幕后发生了什么： 让我们从一个完整的例子开始，看看当我们在第1节中执行以下代码时，幕后发生了什么：
```python ```python