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欢迎来到 Hugging Face 课程。
Welcome to the Hugging Face Course.

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本课程旨在带您了解
This course has been designed to teach you

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关于 Hugging Face 生态系统的一切
all about the Hugging Face ecosystem,

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包括如何使用数据集和模型中心
how to use the dataset and model hub

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以及我们所有的开源库。
as well as all our open-source libraries.

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这是本课程的目录。
Here is the Table of Contents.

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它共分为三个部分
As you can see, it's divided in three sections

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由浅入深地带您学习。
which become progressively more advanced.

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到目前为止，前两部分已经发布。
At this stage, the first two sections have been released.

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在课程的一开始，我们会教您基础知识
So first, we'll teach you the basics

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包括如何使用 Transformer 模型，
of how to use a Transformer model,

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以及如何基于您自己的数据集上进行微调
fine-tune it on your own data set

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并与社区分享结果。
and share the result with the community.

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然后，我们将带您深入了解我们的开源库
So second, we'll dive deeper into our libraries

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并教您如果能够处理任何 NLP 任务。
and teach you how to tackle any NLP task.

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我们正在积极研究最后一部分
We're actively working on the last one

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并希望在 2022 年春季完成并发布。
and hope to have it ready for you for the spring of 2022.

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第一章不需要技术知识
The first chapter requires no technical knowledge

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只会为您介绍一些基础知识
and is a good introduction to learn

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例如 Transformers 模型可以做什么
what Transformers models can do

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以及它如何帮助到您以及应用到您公司的业务中。
and how it could be of use to you or your company.

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第一部分之后的章节需要具备 Python 的相关知识
The next chapters require a good knowledge of Python

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以及机器学习和深度学习的
and some basic knowledge of

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一些基础知识。
Machine Learning and Deep Learning.

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如果您不知道什么是训练集和验证集
If you don't know what a training and validation set are

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或者梯度下降法意味着什么，
or what gradient decent means,

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您应该看看一些
you should look at an introductory course

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诸如 deeplearning.ai 或 fast.ai 发布的入门课程
such as the ones published by deeplearning.ai or fast.ai.

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如果您有一些关于某个
It's also best if you have some basics

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深度学习框架、PyTorch 或 TensorFlow 中的基础知识那就更好了。
in one Deep Learning Framework, PyTorch or TensorFlow.

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本课程介绍的各部分资料
Each part of the material introduced in this course

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在 PyTorch 和 TensorFlow 中都有一个相对应的版本，
has a version in both those frameworks,

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这样您就可以选择一个
so you will be able to pick the one

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您最熟悉的版本。
you are most comfortable with.

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这是开发这门课程的团队。
This is the team that developed this course.

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接下来每位讲师会先
I'll now let each of the speakers

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简单介绍一下自己。
introduce themselves briefly.

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- Hi，我叫马修，
- Hi, my name is Matthew,

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我是 Hugging Face 的机器学习工程师。
and I'm a Machine Learning Engineer at Hugging Face.

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我在开源团队工作
I work on the open-source team

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我负责维护
and I'm responsible for maintaining particularly

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团队内的 TensorFlow 代码。
the TensorFlow code there.

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在此之前，我是 Parsley 的机器学习工程师，
Previously, I was a Machine Learning Engineer at Parsley,

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最近该公司被 Automatic 收购，
who've recently been acquired by Automatic,

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我是一名博士后研究员
and I was a postdoctoral researcher

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之前在爱尔兰都柏林三一学院
before that at Trinity College, Dublin in Ireland

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致力于计算遗传学和视网膜疾病的研究。
working on computational genetics and retinal disease.

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- Hi，我是 Lysandre
- Hi, I'm Lysandre.

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我是 Hugging Face 的机器学习工程师
I'm a Machine Learning Engineer at Hugging Face

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我是开源团队的一员。
and I'm specifically part of the open-source team.

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我已经在 Hugging Face 团队和我的团队成员一起
I've been at Hugging Face for a few years now

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工作了好几年，
and alongside my team members,

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我一直致力于研究大多数您将在
I've been working on most of the tools

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本课程中看到的工具。
that you'll get to see in this course.

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- Hi，我是 Sylvain
- Hi, I'm Sylvain.

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我是 Hugging Face 的研究工程师
I'm a Research Engineer at Hugging Face

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也是 Transformers 代码库的主要维护者之一。
and one of the main maintainers of the Transformers Library.

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之前，我在 fast.ai 工作
Previously, I worked at fast.ai

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我帮助开发了 fast.ai 库
where I helped develop the fast.ai Library

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以及在线图书。
as well as the online book.

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在那之前，我是一名在法国的
Before that, I was a math and computer science teacher

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数学和计算机科学老师。
in France.

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- Hi，我叫 Sasha，是 Hugging Face 的一名研究员，
- Hi, my name is Sasha and I'm a Researcher at Hugging Face,

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致力于道德，
working on the ethical,

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机器学习模型的环境和社会影响相关的研究。
environmental and social impacts of machine learning models.

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之前，我是 Mila 蒙特利尔大学的
Previously, I was a postdoctoral researcher at Mila,

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博士后研究员
University in Montreal

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我还为联合国全球脉搏计划担任过
and I also worked as an Applied AI Researcher

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应用人工智能研究员。
for the United Nations Global Pulse.

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参与过 CodeCarbon 和
I've been involved in projects such as CodeCarbon

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机器学习影响计算器等项目
and the Machine Learning Impacts Calculator

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致力于衡量机器学习的碳足迹的研究。
to measure the carbon footprint of machine learning.

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- Hi，我是 Merve，我是 Hugging Face 团队的
- Hi, I'm Merve and I'm a Developer Advocate

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开发技术推广工程师
at Hugging Face.

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在此之前，我是一名机器学习工程师
Previously, I was working as a Machine Learning Engineer

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负责构建 NLP 工具和聊天机器人。
building NLP tools and chat bots.

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目前，我正在努力改进模型中心
Currently, I'm working to improve the hub

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并使机器学习民主化。
and democratize machine learning.

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- 大家好。
- Hello everyone.

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我叫 Lucile，是 Hugging Face 团队的
My name is Lucile and I'm a Machine Learning Engineer

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一名机器学习工程师
at Hugging Face.

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用两句话告诉您我是谁，
To tell you in two sentences who I am,

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我致力于开源工具的开发和支持
I work on the development and support of open-source tools

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我也参与了在自然语言处理领域的
and I also participate in several research project

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几个研究项目。
in the field of Natural Language Processing.

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- 大家好。
- Good day there.

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我是 Lewis，我是 Hugging Face 开源团队中的
I'm Lewis and I'm a Machine Learning Engineer

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一名机器学习工程师。
in the open-source team at Hugging Face.

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我热衷于为 NLP 社区开发工具
I'm passionate about developing tools for the NLP community

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您可以在很多 Hugging Face
and you'll see me at many of Hugging Face's

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对外的活动中见到我
outreach activities.

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在加入 Hugging Face 之前，
Before joining Hugging Face,

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我花了几年时间
I spent several years developing

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为初创公司和 NLP 领域的企业
machine learning applications for startups

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开发机器学习应用程序，
and enterprises in the domains of NLP,

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以及拓扑数据分析和时间序列。
topological data analysis and time series.

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在此之前，我是一名理论物理学家，
In a former life, I was a theoretical physicist,

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负责在大型强子对撞机等
where I researched particle collisions

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研究粒子碰撞。
at the Large Hadron Collider and so.

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- Hey，我是 Leandro，我是一名 Hugging Face 开源团队中
- Hey, I'm Leandro and I'm a Machine Learning Engineer

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的一名机器学习工程师
in the open-source team at Hugging Face.

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在加入 Hugging Face 之前，我是一名在瑞士的数据科学家
Before joining Hugging Face, I worked as a Data Scientist

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并在大学教授数据科学。
in Switzerland and have taught Data Science at University.