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This course demonstrates how to build a table question-answering system in Python using Hugging Face Transformers, an MPNet retriever, Pinecone, and TAPAS. It covers retrieving relevant tables and answering direct, sum, and average questions over their data.
Syllabus
Intro
Table QA process
Getting the code
Colab GPU and prerequisites
Dataset download and preprocessing
Table QA retrieval pipeline
First test, can it retrieve tables?
TAPAS model for table QA
Asking more table QA questions
Asking advanced aggregation questions to TAPAS
Final thoughts
Taught by
James Briggs