This repository contains the example code from our O'Reilly book Natural Language Processing with Transformers:

You can run these notebooks on cloud platforms like Google Colab or your local machine. Note that most chapters require a GPU to run in a reasonable amount of time, so we recommend one of the cloud platforms as they come pre-installed with CUDA.

To run these notebooks on a cloud platform, just click on one of the badges in the table below:

Chapter	Colab	Kaggle	Gradient	Studio Lab
Introduction
Text Classification
Transformer Anatomy
Multilingual Named Entity Recognition
Text Generation
Summarization
Question Answering
Making Transformers Efficient in Production
Dealing with Few to No Labels
Training Transformers from Scratch
Future Directions

Nowadays, the GPUs on Colab tend to be K80s (which have limited memory), so we recommend using Kaggle, Gradient, or SageMaker Studio Lab. These platforms tend to provide more performant GPUs like P100s, all for free!

To run the notebooks on your own machine, first clone the repository:

git clone https://github.com/nlp-with-transformers/notebooks
cd notebooks-test

Next, you'll need to install a few packages that depend on your operating system and hardware:

• PyTorch
• TensorFlow (optional, since only used in a few chapters)
• PyTorch Scatter (only used in Chapter 11)
• librosa (only used in Chapter 11)
• libsndfile (only used in Chapter 11)

Once you have install the above requirements, create a virtual environment and install the remaining Python dependencies:

conda create -n book python=3.8 -y && conda activate book
from install import *
install_requirements()
# Use the following to run Chapter 7
# install_requirements(is_chapter7)

If you'd like to cite this book, you can use the following BibTeX entry:

@book{tunstall2022natural,
  title={Natural Language Processing with Transformers: Building Language Applications with Hugging Face},
  author={Tunstall, Lewis and von Werra, Leandro and Wolf, Thomas},
  isbn={1098103246},
  url={https://books.google.ch/books?id=7hhyzgEACAAJ},
  year={2022},
  publisher={O'Reilly Media, Incorporated}
}