subtitles/zh-CN/69_what-to-do-when-you-get-an-error.srt

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（呼呼）
(whoosh)

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- 在本视频中，我们将学习第一件事
- In this video we'll learn the first things to

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当你得到一个错误时做。
do when you get an error.

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这不是将笔记本电脑扔出窗外。
This is not throwing your laptop through the window.

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假设我们要使用问答管道
Let's say we want to use the question answering pipeline

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在特定型号上，我们收到以下错误。
on a particular model and we get the following error.

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Python 中的错误可能看起来势不可挡
Errors in Python can appear overwhelming

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因为你得到了很多信息打印出来
because you get so much information printed out

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但那是因为 Python 试图帮助你
but that's because Python is trying to help you

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尽其所能解决你的问题。
the best it can to solve your problem.

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在本视频中，我们将了解如何解读
In this video, we'll see how to interpret

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我们得到的错误报告。
the error report we get.

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首先要注意的是顶部
The first thing to notice at the very top

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是 Python 给你显示了一个清晰的箭头
is that Python shows you with a clear arrow

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触发错误的代码行
the line of code that triggers the error

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所以你不必摆弄你的代码
so you don't have to fiddle with your code

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并删除随机线以找出
and remove random lines to figure out

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错误来自哪里。
where the error comes from.

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答案就在你面前。
You have the answer in front of you right here.

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你在下面看到的错误是代码的一部分
The errors you see below are a part of the code

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Python 试图在运行指令时执行。
Python tried to execute while running the instruction.

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我们在管道函数中
Here we are inside the pipeline function

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零出现在这条线上
and zero came on this line

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在尝试执行函数 “check_tasks” 时，
while trying to execute the function "check_tasks,"

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然后引发了我们看到的 KeyError 显示。
which then raised the KeyError we see displayed.

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请注意，Python 会准确地告诉你
Note that Python tells you exactly

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它正在执行的功能所在的位置，
where the function it's executing lives,

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所以如果你喜欢冒险
so if you feel adventurous

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你甚至可以去检查源代码。
you can even go inspect the source code.

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这整件事被称为 “追溯”。
This whole thing is called the "Traceback."

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如果你在 Colab 上运行代码
If you're running your code on Colab

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Traceback 自动最小化，
the Traceback is automatically minimized,

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所以你必须点击展开它。
so you have to click to expand it.

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在回溯的最后
At the very end of the Traceback

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你终于得到了实际的错误信息。
you finally get the actual error message.

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遇到你应该做的第一件事
The first thing you should do when encountering

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错误是阅读该错误消息。
an error is to read that error message.

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它告诉我们它不知道
Here it's telling us it doesn't know

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问答任务
the question answering task

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并帮助我们列出了清单
and helpfully gives us the list

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我们可以看到支持的任务
of supported tasks in which we can see

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那个 “问答” 实际上是。
that "question-answering" actually is.

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仔细一看，
Looking more closely though,

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我们用下划线来惊奇这两个词
we used an underscore to surprise the two words

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当任务写有减号时，
when the task is written with a minus,

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所以我们应该解决这个问题。
so we should fix that.

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现在让我们用正确编写的标签重试我们的代码
Now let's retry our code with the tags properly written

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今天发生了什么？
and what is happening today?

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另一个错误。
Another error.

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正如我们之前所说，我们去看看底部
As we said before, we go look at the bottom

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阅读实际的错误信息。
to read the actual error message.

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它告诉我们应该检查
It's telling us that we should check

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我们的模型是正确的模型标识符，
our model is a correct model identifier,

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所以让我们跳到 hf.co/models。
so let's hop onto hf.co/models.

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我们可以看到我们的模型列在那里
We can see our model listed there

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在可用于问答的那些。
in the ones available for question answering.

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不同之处在于它拼写为 “distilbert”
The difference is that it's spelled "distilbert"

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用一个 L，我们用两个，
with one L, and we use two,

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所以让我们解决这个问题。
so let's fix that.

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我们终于得到了结果。
We finally get our results.

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如果我们的错误更复杂，
If our error is more complex,

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你可能需要使用 Python 调试器。
you might need to use the Python debugger.

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查看下面的视频以了解操作方法。
Check out the videos below to learn how.