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Transformers - The definitive Guide

This is the corresponding code for the book Transformers - The definitive Guide

Instructions and Navigation

All of the code is organized into folders. Each folder starts with CH followed by the chapter number. For example, CH01. The notebooks are then organized as follows: ch01_attention_mechanism_variations.ipynb, where ch01 indicates the chapter and attention_mechanism_variations what is done in the notebook.

Repo structure

├── LICENSE
├── README.md             <- The top-level README for developers using this project.
├── CH01                  <- Per chapter folder with Jupyter notebooks.
    ├── [name].ipynb      <- Jupyter notebooks with naming as mentioned above.
├── CH02                  <- Per chapter folder with Jupyter notebooks.
...                       <- Same structure for all chapters.
├── utils                 <- Custom classes and functions and utility functions.
├── resources             <- Some miscellaneous resources.

Virtual Envrionment

The provided bash script create_env.sh automates the process of creating a Python virtual environment using either conda or pipenv, installing the required packages from a requirements.txt file. To use the script run bash create_env.sh in your terminal on Microsoft Windows (with WSL), Apple macOS, or Linux operating systems.

Running the Notebooks

Every notebook contains buttons so that the notebook can be oppend and run on the chosen cloud service like this:

Each notebook is connected with this Github repo, meaning by running a notebook, it will automatically clone the repo, so you can easily access all resources outside the notebook. Like customs functions and classes as well as utility functions to automatically install the requirements per chapter:

!git clone https://github.com/Nicolepcx/transformers-the-definitive-guide

current_path = %pwd
if '/transformers-the-definitive-guide' in current_path:
    new_path = current_path + '/utils'
else:
    new_path = current_path + '/transformers-the-definitive-guide/utils'
%cd $new_path

NOTE: You need to run the notebooks with a GPU.