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