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Welcome to the Hugging Face Course.

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This course has been designed to teach you

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all about the Hugging Face ecosystem,

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how to use the dataset and model hub

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as well as all our open-source libraries.

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Here is the Table of Contents.

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As you can see, it's
divided in three sections

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which become progressively more advanced.

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At this stage, the first two
sections have been released.

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So first, we'll teach you the basics

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of how to use a Transformer model,

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fine-tune it on your own data set

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and share the result with the community.

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So second, we'll dive
deeper into our libraries

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and teach you how to tackle any NLP task.

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We're actively working on the last one

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and hope to have it ready for
you for the spring of 2022.

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The first chapter requires
no technical knowledge

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and is a good introduction to learn

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what Transformers models can do

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and how it could be of use
to you or your company.

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The next chapters require
a good knowledge of Python

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and some basic knowledge of

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Machine Learning and Deep Learning.

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If you don't know what a
training and validation set are

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or what gradient decent means,

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you should look at an introductory course

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such as the ones published by
deeplearning.ai or fast.ai.

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It's also best if you have some basics

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in one Deep Learning Framework,
PyTorch or TensorFlow.

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Each part of the material
introduced in this course

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has a version in both those frameworks,

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so you will be able to pick the one

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you are most comfortable with.

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This is the team that
developed this course.

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I'll now let each of the speakers

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introduce themselves briefly.

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- Hi, my name is Matthew,

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and I'm a Machine Learning
Engineer at Hugging Face.

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I work on the open-source team

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and I'm responsible for
maintaining particularly

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the TensorFlow code there.

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Previously, I was a Machine
Learning Engineer at Parsley,

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who've recently been
acquired by Automatic,

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and I was a postdoctoral researcher

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before that at Trinity
College, Dublin in Ireland

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working on computational
genetics and retinal disease.

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- Hi, I'm Lysandre.

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I'm a Machine Learning
Engineer at Hugging Face

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and I'm specifically part
of the open-source team.

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I've been at Hugging
Face for a few years now

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and alongside my team members,

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I've been working on most of the tools

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that you'll get to see in this course.

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- Hi, I'm Sylvain.

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I'm a Research Engineer at Hugging Face

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and one of the main maintainers
of the Transformers Library.

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Previously, I worked at fast.ai

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where I helped develop the fast.ai Library

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as well as the online book.

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Before that, I was a math
and computer science teacher

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in France.

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- Hi, my name is Sasha and I'm
a Researcher at Hugging Face,

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working on the ethical,

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environmental and social impacts
of machine learning models.

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Previously, I was a
postdoctoral researcher at Mila,

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University in Montreal

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and I also worked as an
Applied AI Researcher

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for the United Nations Global Pulse.

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I've been involved in
projects such as CodeCarbon

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and the Machine Learning
Impacts Calculator

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to measure the carbon
footprint of machine learning.

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- Hi, I'm Merve and I'm
a Developer Advocate

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at Hugging Face.

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Previously, I was working as
a Machine Learning Engineer

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building NLP tools and chat bots.

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Currently, I'm working to improve the hub

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and democratize machine learning.

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- Hello everyone.

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My name is Lucile and I'm
a Machine Learning Engineer

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at Hugging Face.

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To tell you in two sentences who I am,

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I work on the development and
support of open-source tools

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and I also participate in
several research project

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in the field of Natural
Language Processing.

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- Good day there.

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I'm Lewis and I'm a
Machine Learning Engineer

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in the open-source team at Hugging Face.

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I'm passionate about developing
tools for the NLP community

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and you'll see me at
many of Hugging Face's

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outreach activities.

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Before joining Hugging Face,

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I spent several years developing

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machine learning applications for startups

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and enterprises in the domains of NLP,

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topological data analysis and time series.

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In a former life, I was
a theoretical physicist,

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where I researched particle collisions

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at the Large Hadron Collider and so.

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- Hey, I'm Leandro and I'm
a Machine Learning Engineer

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in the open-source team at Hugging Face.

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Before joining Hugging Face,
I worked as a Data Scientist

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in Switzerland and have taught
Data Science at University.