v1

a smol course v1

Participation is open, free, and now!

This course is open and peer reviewed. To get involved with the course open a pull request and submit your work for review. Here are the steps:

1. Fork the repo here
2. Read the material, make changes, do the exercises, add your own examples.
3. Open a PR on the december_2024 branch
4. Get it reviewed and merged

This should help you learn and to build a community-driven course that is always improving.

Installation

We maintain the course as a package so you can install dependencies easily via a package manager. We recommend uv for this purpose, but you could use alternatives like pip or pdm.

Using uv

With uv installed, you can install the course like this:

uv venv --python 3.11.0
uv sync

Using pip

All the examples run in the same python 3.11 environment, so you should create an environment and install dependencies like this:

# python -m venv .venv
# source .venv/bin/activate
pip install -r requirements.txt

Google Colab

From Google Colab you will need to install dependencies flexibly based on the hardware you're using. Like this:

pip install transformers trl datasets huggingface_hub