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- [Instructor] 在这段视频中，我们将了解如何
- [Instructor] In this video, we're going to understand how

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管理模型仓库
to manage a model repository

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在 Hugging Face Hub 模型中心。
on the Hugging Face Hub Model Hub.

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为了处理仓库
In order to handle a repository

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你应该首先拥有一个 Hugging Face 帐户。
you should first have a Hugging Face account.

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在描述中有创建新帐户
A link to create a new account is available

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的链接。
in the description.

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登录后，你可以创建一个新的仓库
Once you are logged in, you can create a new repository

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通过单击 New Model 选项。
by clicking on the New Model option.

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你会看到类似下面的模型。
You should be facing a similar model to the following.

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在 Owner 输入框中，你可以放置自己的命名空间
In the owner input, you can put either your own namespace

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或你组织的任何命名空间。
or any of your organization's namespaces.

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Model name 是模型标识符
The Model name is the model identifier

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它将被用于
that will then be used

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在所选命名空间上识别你的模型。
to identify your model on the chosen namespace.

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最后可以在 Public(公共) 和 Private(私有) 之间选择。
The final choice is between public and private.

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任何人都可以访问公共模型。
Public models are accessible by anyone.

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这是推荐的免费选项，
This is the recommended free option,

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因为这使你的模型易于访问和共享。
as this makes your model easily accessible and shareable.

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你的命名空间的所有者
The owners of your namespace are the only ones

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是唯一可以更新和更改你的模型。
who can update and change your model.

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一个更高级的选项是私有选项。
A more advanced option is the private option.

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在这种情况下，
In this case,

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只有你的命名空间的所有者
only the owners of your namespace

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对你的模型有可见性。
will have visibility over your model.

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其他用户不会知道它的存在
Other users won't know it exists

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并且将无法使用它。
and will not be able to use it.

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让我们创建一个虚拟模型来试试看。
Let's create a dummy model to play with.

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创建模型后，
Once your model is created,

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来自该模型的管理。
comes the management of that model.

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你可以使用三个选项卡。
Three tabs are available to you.

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你面对的是第一个，这是 Model card 页面。
You're facing the first one, which is the Model card page.

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这是你用来向全世界展示模型
This is the page you use to showcase your model

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的页面。
to the world.

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我们稍后会看到它是如何完成的。
We'll see how it can be completed in a bit.

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第二个是 Files and Versions 选项卡。
The second one is the Files and Versions tab.

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你的模型本身就是一个 Git 仓库。
Your model itself is a Git repository.

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如果你不知道什么是 Git 仓库，
If you're unaware of what is a Git repository,

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你可以将其视为包含文件的文件夹。
you can think of it as a folder containing files.

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如果你以前从未使用过 Git，
If you have never used Git before,

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我们建议观看视频描述中
we recommend looking at an introduction

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提供的介绍内容。
like the one provided in this video's description.

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Git 仓库支持按照时间推移
The Git repository allows you to see the changes happening

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查看本文件夹中的变化，也就是版本。
over time in this folder, hence the term versions.

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我们稍后会看到如何添加文件和版本。
We'll see how to add files and versions in a bit.

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最后一个选项卡是 Settings 选项卡，
The final tab is the settings tab,

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可以管理模型的可见性
which allows you to manage your model's visibility

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和可用性。
and availability.

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让我们首先从将文件添加到仓库开始。
Let's first start by adding files to the repository.

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还好有 add file 按钮
Files can be added

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通过网页操作即可添加文件。
through the web interface thanks to the add file button.

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添加的文件可以是任何类型，python，JSON，纯文本，
The added files can be of any type, python, JSON, text,

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任君选择。
you name it.

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除了你添加的文件及其内容，
Alongside your added file and its content,

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你还应该命名你的 change 或 commit。
you should name your change or commit.

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通常，使用 Hugging Face Hub Python 库
Generally, adding files is simpler

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或使用命令行添加文件
by using the Hugging Face Hub Python library

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比较简单。
or by using the command-line.

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我们将展示如何使用 
We'll showcase how to do this

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Hugging Face Hub Python 库做到这一点
using the Hugging Face Hub Python library,

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并且在描述中有一个链接
and there is a link in the description

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可以指向这个视频的前一个版本，
to the previous version of this video,

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展示如何使用 Git 和命令行执行此操作。
showcasing how to do this using Git and the command-line.

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首先，确保你已登录
First, make sure you're logged

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进入你的 Hugging Face 帐户，
into your Hugging Face account,

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可以通过命令行或者 Python 运行时中操作。
either through the command-line or in a Python runtime.

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我们要看的第一种方法
The first approach we'll take a look at

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正在使用 upload_file 方法。
is using the upload file method.

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这提供了一个极其简单的 API
This offers an extremely simple API

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通过 hub 上传文件。
to upload files through the hub.

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其中三个必需的参数
The three required parameters

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是文件的当前位置，
are the current location of the file,

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该文件在仓库中的路径，
the path of that file in the repository,

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以及你要推送到的仓库的标识符。
and the id of the repository to which you're pushing.

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还有一些额外的参数。
There are a few additional parameters.

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token 参数，
The token parameter,

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如果你想指定一个和登录时
if you would like to specify a different token

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所保存的不同的 token，
than the one saved in your cache with your login,

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repo_type 参数，
the repo type parameter,

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如果你想推送到 dataset 或 space。
if you would like to push to a dataset or a space.

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我们将使用这种方法上传一个名为 readme.md 的文件
We'll upload a file called readme.md to the repository

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到仓库。
using this method.

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我们首先用那个名字保存一个文件，
We first start by saving a file with that name,

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其中包含一些关于
which contains some information

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仓库本身的信息。
about the repository itself.

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在这里，一个标题。
Here, a title.

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现在文件已保存，
Now that the file is saved,

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让我们使用 upload_file 方法将其上传到 hub。
let's use the upload file method to upload it to the hub.

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如果我们切换到 Web 界面一秒钟
If we switch to the web interface for a second

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并刷新页面，我们会看到显示了 README。
and refresh the page, we'll see that the README is shown.

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文件上传成功。
The file upload was a success.

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除了这个方法之外还有一个 delete_file 方法
Alongside this method exists a delete file method

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这样你就可以完全管理你的仓库。
so that you may manage your repository fully.

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我们将使用它来删除我们刚刚创建的文件。
We'll use it to delete the file we have just created.

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如果我们再次刷新页面，很好，
If we refresh the page once again, good,

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该文件确实被删除了。
the file was indeed deleted.

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这两种方法操作起来非常简单。
This approach using only these two methods is super simple.

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它不需要安装 Git 或 Git LFS，
It doesn't need Git or Git LFS installed,

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但它确实有一个限制。
but it does come with a limitation.

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一个人可以上传的最大文件大小
The maximum file size one can upload

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限制为 5 GB。
is limited to five gigabytes.

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为了克服这个限制，
To overcome this limit,

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我们来看看第二种方法
let's take a look at the second method

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这是仓库实用程序。
which is the repository utility.

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该类封装了 Git 和 Git LFS 方法，
This class is a wrapper over Git and Git LFS methods,

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它抽象了大部分的复杂性
which abstracts most of the complexity

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并提供灵活的 API
and offers a flexible API

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管理你的在线仓库。
to manage your online repositories.

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让我们来看看它是如何工作的。
Let's take a look at how it works.

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我们首先从实例化仓库实用程序开始。
We first start by instantiating the repository utility.

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为了克隆我们刚刚创建的仓库
We provide the clone from parameter,

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我们可以通过传递参数进行克隆。
in order to clone the repository we just created.

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仓库现已克隆到本地文件夹中。
The repository is now cloned in the local folder.

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我们刚刚初始化的 repo 对象
The repo object that we have just initialized

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提供了很多对我们有用的方法。
offers quite a few methods which are useful for us.

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我们有兴趣将模型推送到 hub。
We're interested in pushing a model to the hub.

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我将从加载模型和分词器开始
I'll start by loading a model and tokenizer

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这是几个小时前训练过的。
I trained a few hours ago.

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我们现在将遵循传统的 Git 方法
We'll now follow the traditional Git approach

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首先 pull 最新的更改内容
by first pulling latest changes

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使用 git_pull 方法。
using the git_pull method.

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我们刚刚克隆了仓库，
We just cloned the repository,

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所以除非这是一个超级活跃的仓库，
so unless this is a super active repository,

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否则不太可能内容的变化。
it's unlikely that new changes are available.

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但在做任何新的事情之前养成 pull 最新内容
But it's always a good idea to pull the latest changes

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的好习惯也是不错的。
before doing anything new.

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现在我们已经 pull 了仓库，
Now that we have pulled the repository,

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我会将模型和分词器保存在该文件夹中。
I'll save the model and tokenizer inside that folder.

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这包括模型权重、配置文件、
This includes the model weights, configuration file,

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和分词器文件。
and tokenizer files.

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现在模型已保存，
Now that the model is saved,

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我们将继续使用传统的 Git 方法
we'll continue with the traditional Git approach

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并将其推送到远程仓库。
and push it to the remote repository.

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如果我们使用命令行，
If we were using the command-line,

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我们将不得不调用一些
there are a few Git LFS specific commands

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特定的 Git LFS 命令。
we would have to invoke.

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但是在这里，huggingface_hub 包
But here, the Hugging Face hub package

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会处理所有这些。
takes care of all of that.

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我们将从使用 git_add 方法暂存文件开始。
We'll start by staging the files using the git_add method.

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然后我们将使用 git_commit 方法提交这些更改，
We'll then commit these changes using Git commit method,

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并提供有用的 commit 信息。
and providing a helpful commit message.

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最后，我们将更改推送到远端，
Finally, we'll push the changes to the remote,

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使用 git_push 方法。
using the Git push method.

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如果我们回到 Files and Versions 选项卡，
If we go back to the Files and Versions tab,

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我们现在可以看到新提交的文件。
we can now see the newly committed files.

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我们甚至可以在 inference API 中使用模型。
We can even play with the model in the inference API.

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不幸的是，我们模型的首页
Unfortunately, the front page of our model

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还是显得非常空。
is still very empty.

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让我们添加一个 README markdown 文件
Let's add a README markdown file

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让整体显得完整一点点。
to complete it a little bit.

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这个 README 被称为 Model card
This README is known as the Model card

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可以说它同样重要
and it's arguably as important

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作为模型仓库中的模型和分词器文件。
as the model and tokenizer files in the model repository.

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这是你的模型的综合定义
It is the central definition

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和模型文档，
and documentation of your model,

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确保社区成员的可重用性
ensuring reusability by fellow community members

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和结果的可重复性。
and reproducibility of results.

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提供一个平台，让其他成员
Providing a platform on which other members

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可以构建他们的工件。
may build their artifacts.

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为了简单起见我们只会在此处添加标题
We'll only add a title and a small description here

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和简短描述，
for simplicity's sake,

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但我们鼓励你添加相关信息
but we encourage you to add information relevant

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说明模型是如何训练的，
to how was the model trained,

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它的预期用途和限制，
it's intended use and limitations,

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以及目前一直的潜在偏差，
as well as it's identified potential biases,

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评估结果，
evaluation results,

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以及有关如何使用你的模型的代码示例。
and code samples on how to use your model.

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为 Model Hub 贡献出色的模型。
Great work contributing a model to the Model Hub.

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该模型现在可以在下游库中使用
This model can now be used in downstream libraries

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只需指定你的模型标识符。
simply by specifying your model identifier.

