Learn Hugging Face by Building a Custom AI Model
6h 32m 55s
English
Paid
Course description
Explore the Hugging Face ecosystem from scratch, including Transformers, Datasets, Hub/Spaces, and much more, by creating and configuring your own AI model for text classification. In this course, you will learn how to deploy your model for real-world use!
Watch Online
0:00
/ #1: Introduction (Hugging Face Ecosystem and Text Classification)
All Course Lessons (39)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction (Hugging Face Ecosystem and Text Classification) Demo | 06:53 | |
| 2 | More Text Classification Examples | 04:41 | |
| 3 | What We're Going To Build! | 07:22 | |
| 4 | Getting Setup: Adding Hugging Face Tokens to Google Colab | 05:53 | |
| 5 | Getting Setup: Importing Necessary Libraries to Google Colab | 09:36 | |
| 6 | Downloading a Text Classification Dataset from Hugging Face Datasets | 16:01 | |
| 7 | Preparing Text Data for Use with a Model - Part 1: Turning Our Labels into Numbers | 12:49 | |
| 8 | Preparing Text Data for Use with a Model - Part 2: Creating Train and Test Sets | 06:19 | |
| 9 | Preparing Text Data for Use with a Model - Part 3: Getting a Tokenizer | 12:54 | |
| 10 | Preparing Text Data for Use with a Model - Part 4: Exploring Our Tokenizer | 10:27 | |
| 11 | Preparing Text Data for Use with a Model - Part 5: Creating a Function to Tokenize Our Data | 17:58 | |
| 12 | Setting Up an Evaluation Metric (to measure how well our model performs) | 08:54 | |
| 13 | Introduction to Transfer Learning (a powerful technique to get good results quickly) | 07:11 | |
| 14 | Model Training - Part 1: Setting Up a Pretrained Model from the Hugging Face Hub | 12:20 | |
| 15 | Model Training - Part 2: Counting the Parameters in Our Model | 12:27 | |
| 16 | Model Training - Part 3: Creating a Folder to Save Our Model | 03:54 | |
| 17 | Model Training - Part 4: Setting Up Our Training Arguments with TrainingArguments | 15:00 | |
| 18 | Model Training - Part 5: Setting Up an Instance of Trainer with Hugging Face Transformers | 05:06 | |
| 19 | Model Training - Part 6: Training Our Model and Fixing Errors Along the Way | 13:35 | |
| 20 | Model Training - Part 7: Inspecting Our Models Loss Curves | 14:40 | |
| 21 | Model Training - Part 8: Uploading Our Model to the Hugging Face Hub | 08:02 | |
| 22 | Making Predictions on the Test Data with Our Trained Model | 05:59 | |
| 23 | Turning Our Predictions into Prediction Probabilities with PyTorch | 12:49 | |
| 24 | Sorting Our Model's Predictions by Their Probability | 05:11 | |
| 25 | Performing Inference - Part 1: Discussing Our Options | 09:41 | |
| 26 | Performing Inference - Part 2: Using a Transformers Pipeline (one sample at a time) | 10:02 | |
| 27 | Performing Inference - Part 3: Using a Transformers Pipeline on Multiple Samples at a Time (Batching) | 06:39 | |
| 28 | Performing Inference - Part 4: Running Speed Tests to Compare One at a Time vs. Batched Predictions | 10:34 | |
| 29 | Performing Inference - Part 5: Performing Inference with PyTorch | 12:07 | |
| 30 | OPTIONAL - Putting It All Together: from Data Loading, to Model Training, to making Predictions on Custom Data | 34:29 | |
| 31 | Turning Our Model into a Demo - Part 1: Gradio Overview | 03:48 | |
| 32 | Turning Our Model into a Demo - Part 2: Building a Function to Map Inputs to Outputs | 07:08 | |
| 33 | Turning Our Model into a Demo - Part 3: Getting Our Gradio Demo Running Locally | 06:47 | |
| 34 | Making Our Demo Publicly Accessible - Part 1: Introduction to Hugging Face Spaces and Creating a Demos Directory | 08:02 | |
| 35 | Making Our Demo Publicly Accessible - Part 2: Creating an App File | 12:15 | |
| 36 | Making Our Demo Publicly Accessible - Part 3: Creating a README File | 07:08 | |
| 37 | Making Our Demo Publicly Accessible - Part 4: Making a Requirements File | 03:34 | |
| 38 | Making Our Demo Publicly Accessible - Part 5: Uploading Our Demo to Hugging Face Spaces and Making it Publicly Available | 18:44 | |
| 39 | Summary Exercises and Extensions | 05:56 |
Unlock unlimited learning
Get instant access to all 38 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionComments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
AI For Developers With GitHub Copilot, Cursor AI & ChatGPT
Sources: Academind Pro
This course is designed for developers who want to use AI effectively! AI is not a threat, but a powerful tool capable of making you even more...
4 hours 55 minutes 24 seconds
Reprogram Your Subconscious
Sources: Prodigies University
The forbidden secret formula, discovered in 1919, that will help reprogram your subconscious, attract wealth, and turn dreams into reality.
1 hour 18 minutes 21 seconds
Prompt Engineering Bootcamp (Working With LLMs): Zero to Mastery
Sources: zerotomastery.io
Stop memorizing random prompts. Instead, learn how Large Language Models (LLMs) actually work and how to use them effectively. This course will take you from be
27 hours 8 minutes 45 seconds
Arduino Step by Step Getting Started
Sources: udemy
This is the original, legendary Arduino course on Udemy, by Tech Explorations, fanatically supported by Dr Peter Dalmaris. It is trusted by thousands of studen
18 hours 42 minutes 17 seconds