You're reading from Transformers for Natural Language Processing Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781803247335

Length 602 pages

Edition 2nd Edition

Languages

Processing

Tools

Processing

Concepts

Mobile Application Development

Author (1):

Denis Rothman

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Table of Contents (25) Chapters

Preface

1. What are Transformers? FREE CHAPTER

2. Getting Started with the Architecture of the Transformer Model

3. Fine-Tuning BERT Models

4. Pretraining a RoBERTa Model from Scratch

5. Downstream NLP Tasks with Transformers

6. Machine Translation with the Transformer

7. The Rise of Suprahuman Transformers with GPT-3 Engines

8. Applying Transformers to Legal and Financial Documents for AI Text Summarization

9. Matching Tokenizers and Datasets

10. Semantic Role Labeling with BERT-Based Transformers

11. Let Your Data Do the Talking: Story, Questions, and Answers

12. Detecting Customer Emotions to Make Predictions

13. Analyzing Fake News with Transformers

14. Interpreting Black Box Transformer Models

15. From NLP to Task-Agnostic Transformer Models

16. The Emergence of Transformer-Driven Copilots

17. The Consolidation of Suprahuman Transformers with OpenAI’s ChatGPT and GPT-4

18. Other Books You May Enjoy

19. Index

Appendix I — Terminology of Transformer Models

1. Appendix II — Hardware Constraints for Transformer Models

2. Appendix III — Generic Text Completion with GPT-2

3. Appendix IV — Custom Text Completion with GPT-2

4. Appendix V — Answers to the Questions

Step 2: Cloning the OpenAI GPT-2 repository

OpenAI still lets us download GPT-2 for now. This may be discontinued in the future, or maybe we will get access to more resources. At this point, the evolution of transformers and their usage moves so fast that nobody can foresee how the market will evolve, even the major research labs themselves.

We will clone OpenAI’s GitHub directory on our VM:

#@title Step 2: Cloning the OpenAI GPT-2 Repository
!git clone https://github.com/openai/gpt-2.git

When the cloning is over, you should see the repository appear in the file manager:

Figure III.2: Cloned GPT-2 repository

Click on src, and you will see that the Python files we need from OpenAI to run our model are installed:

Figure III.3: The GPT-2 Python files to run a model

You can see that we do not have the Python training files we need. We will install them when we train the GPT-2 model in the Training a GPT-2 language model section of Appendix...

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You're reading from Transformers for Natural Language Processing Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

Table of Contents (25) Chapters

Step 2: Cloning the OpenAI GPT-2 repository

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Authors (1)