# Lecture 6
## Topic
In this lecture we extract features from a transformer model and use them to do
classification with sklearn.
## Lecture Slides
```{raw} html
```
```{eval-rst}
:download:`Download the slides <_static/bld/pdfs/lecture_6.pdf>`
```
## Exercises
```{toctree}
---
maxdepth: 1
---
bld/notebooks/exercises/exercise_6.ipynb
bld/notebooks/solutions/exercise_6.ipynb
```
## Slides from guest lecture
```{raw} html
```
```{eval-rst}
:download:`Download the slides <_static/pdfs/enacom.pdf>`
```
## Suggested Homework
- Experiment with different classification models and their tuning parameters and try to get a better score
## 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.
Chapter 2 covers the material of this lecture.
### Videos