# Lecture 3

## Topic

In this lecture we work with the transformers library for the first time.

## Lecture Slides

```{raw} html
<iframe src="_static/bld/pdfs/lecture_3.pdf" width="700" height="415"></iframe>
```

```{eval-rst}
:download:`Download the slides <_static/bld/pdfs/lecture_3.pdf>`
```

## Exercises


```{toctree}
---
maxdepth: 1
---
bld/notebooks/exercises/exercise_3.ipynb
bld/notebooks/solutions/exercise_3.ipynb
```

## Suggested Homework

- Re-do or finish the exercises from the class
- Vary the tasks by using different models, different texts, ...
- Skim chapter 1 of Natural Language Processing with transformers

## Additional materials

### Natural Language Processing with transformers

The book [Natural language processing with transformers](https://www.oreilly.com/library/view/natural-language-processing/9781098136789/) has served as basis for many of the course materials.


### Introduction to `pipeline`

A very accessible introduction to `pipeline`

<iframe width="560" height="315" src="https://www.youtube.com/embed/tiZFewofSLM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>