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Mastering PyTorch

You're reading from  Mastering PyTorch

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781789614381
Pages 450 pages
Edition 1st Edition
Languages
Author (1):
Ashish Ranjan Jha Ashish Ranjan Jha
Profile icon Ashish Ranjan Jha

Table of Contents (20) Chapters

Preface Section 1: PyTorch Overview
Chapter 1: Overview of Deep Learning using PyTorch Chapter 2: Combining CNNs and LSTMs Section 2: Working with Advanced Neural Network Architectures
Chapter 3: Deep CNN Architectures Chapter 4: Deep Recurrent Model Architectures Chapter 5: Hybrid Advanced Models Section 3: Generative Models and Deep Reinforcement Learning
Chapter 6: Music and Text Generation with PyTorch Chapter 7: Neural Style Transfer Chapter 8: Deep Convolutional GANs Chapter 9: Deep Reinforcement Learning Section 4: PyTorch in Production Systems
Chapter 10: Operationalizing PyTorch Models into Production Chapter 11: Distributed Training Chapter 12: PyTorch and AutoML Chapter 13: PyTorch and Explainable AI Chapter 14: Rapid Prototyping with PyTorch Other Books You May Enjoy

Using a pre-trained GPT-2 model as a text generator

Using the transformers library together with PyTorch, we can load most of the latest advanced transformer models for performing various tasks such as language modeling, text classification, machine translation, and so on. We demonstrated how to do so in Chapter 5, Hybrid Advanced Models.

In this section, we will load the pre-trained GPT-2-based language model. We will then extend this model so that we can use it as a text generator. Then, we will explore the various strategies we can follow to generate text from a pre-trained language model and use PyTorch to demonstrate those strategies.

Out-of-the-box text generation with GPT-2

In the form of an exercise, we will load a pre-trained GPT-2 language model using the transformers library and extend this language model as a text generation model to generate arbitrary yet meaningful texts. We will only show the important parts of the code for demonstration purposes. In order to...

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