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How to Build Q&A Models in Python - Transformers

James Briggs via YouTube

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Overview

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Learn how to build a question-answering model using HuggingFace's Transformers library in Python. Explore the process of importing and loading models, setting up tokenizers, and creating pipelines for effective Q&A systems. Discover how to interpret output dictionaries and analyze results. Gain hands-on experience with PyTorch or TensorFlow implementations while following along with practical examples and code snippets. Enhance your natural language processing skills and unlock the potential of transformer-based models for question-answering tasks.

Syllabus

Introduction
Question Answering
Models Page
Importing Models
Loading Models
Tokenizer
Pipeline Setup
Output Dictionary
Results

Taught by

James Briggs

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