Fine-Tune T5 for Document Classification - Part 1: Creating Dataset with Web Scraping
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Learn how to personalize a Flan-T5 model for document classification using your own dataset in this 16-minute tutorial. Discover the process of collecting information from DuckDuckGo using a web scraper, focusing on the first part of creating a custom dataset. Explore the provided Python script on GitHub to understand the implementation details of the web scraping technique. Gain valuable insights into preparing data for fine-tuning a T5 model, setting the foundation for improved document classification tasks.
Syllabus
Fine Tune T5 for Document Classification Part 1 (Create Dataset / Web Scrapping )
Taught by
The Machine Learning Engineer
Related Courses
TensorFlow: Working with NLPLinkedIn Learning Introduction to Video Editing - Video Editing Tutorials
Great Learning via YouTube HuggingFace Crash Course - Sentiment Analysis, Model Hub, Fine Tuning
Python Engineer via YouTube GPT3 and Finetuning the Core Objective Functions - A Deep Dive
David Shapiro ~ AI via YouTube How to Build a Q&A AI in Python - Open-Domain Question-Answering
James Briggs via YouTube