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ZeroToMastery | Learn Hugging Face By Building A Custom AI Model

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ZeroToMastery | Learn Hugging Face By Building A Custom AI Model (Size: 1.91 GB)
  01. Introduction (Hugging Face Ecosystem and Text Classification) - Zero - 1920x1080 619K.mp4 26.75 MB
  02. More Text Classification Examples - Zero - 1920x1080 490K.mp4 11.42 MB
  03. What We're Going To Build! - Zero - 1920x1080 810K.mp4 34.56 MB
  04. Getting Setup Adding Hugging Face Tokens to Google Colab - Zero - 1920x1080 868K.mp4 30.28 MB
  05. Getting Setup Importing Necessary Libraries to Google Colab - Zero - 1920x1080 914K.mp4 52.18 MB
  06. Downloading a Text Classification Dataset from Hugging Face Datasets - Zero - 1920x1080 818K.mp4 78.04 MB
  07. Preparing Text Data for Use with a Model - Part 1 Turning Our Labels into Numbers - Zero - 1920x1080 661K.mp4 46.31 MB
  08. Preparing Text Data for Use with a Model - Part 2 Creating Train and Test Sets - Zero - 1920x1080 582K.mp4 20.04 MB
  09. Preparing Text Data for Use with a Model - Part 3 Getting a Tokenizer - Zero - 1920x1080 892K.mp4 64.63 MB
  10. Preparing Text Data for Use with a Model - Part 4 Exploring Our Tokenizer - Zero - 1920x1080 700K.mp4 41.24 MB
  11. Preparing Text Data for Use with a Model - Part 5 Creating a Function to Tokenize Our Data - Zero - 1920x1080 883K.mp4 90.74 MB
  12. Setting Up an Evaluation Metric (to measure how well our model performs) - Zero - 1920x1080 788K.mp4 39.17 MB
  13. Introduction to Transfer Learning (a powerful technique to get good results quickly) - Zero - 1920x1080 780K.mp4 30.3 MB
  14. Model Training - Part 1 Setting Up a Pretrained Model from the Hugging Face Hub - Zero - 1920x1080 1022K.mp4 72.49 MB
  15. Model Training - Part 2 Counting the Parameters in Our Model - Zero - 1920x1080 903K.mp4 74.46 MB
  16. Model Training - Part 3 Creating a Folder to Save Our Model - Zero - 1920x1080 856K.mp4 18.92 MB
  17. Model Training - Part 4 Setting Up Our Training Arguments with TrainingArguments - Zero - 1920x1080 1233K.mp4 111.07 MB
  18. Model Training - Part 5 Setting Up an Instance of Trainer with Hugging Face Transformers - Zero - 1920x1080 1119K.mp4 33.94 MB
  19. Model Training - Part 6 Training Our Model and Fixing Errors Along the Way - Zero - 1920x1080 933K.mp4 72.15 MB
  20. Model Training - Part 7 Inspecting Our Models Loss Curves - Zero - 1920x1080 807K.mp4 66.56 MB
  21. Model Training - Part 8 Uploading Our Model to the Hugging Face Hub - Zero - 1920x1080 1009K.mp4 48.12 MB
  22. Making Predictions on the Test Data with Our Trained Model - Zero - 1920x1080 865K.mp4 29.18 MB
  23. Turning Our Predictions into Prediction Probabilities with PyTorch - Zero - 1920x1080 839K.mp4 56.84 MB
  24. Sorting Our Model's Predictions by Their Probability - Zero - 1920x1080 651K.mp4 17.87 MB
  25. Performing Inference - Part 1 Discussing Our Options - Zero - 1920x1080 807K.mp4 40.98 MB
  26. Performing Inference - Part 2 Using a Transformers Pipeline (one sample at a time) - Zero - 1920x1080 890K.mp4 51.91 MB
  27. Performing Inference - Part 3 Using a Transformers Pipeline on Multiple Samples at a Time (Batching) - Zero - 1920x1080 1160K.mp4 43.34 MB
  28. Performing Inference - Part 4 Running Speed Tests to Compare One at a Time vs. Batched Predictions - Zero - 1920x1080 826K.mp4 46.23 MB
  29. Performing Inference - Part 5 Performing Inference with PyTorch - Zero - 1920x1080 851K.mp4 60.81 MB
  30. OPTIONAL - Putting It All Together from Data Loading, to Model Training, to making Predictions on Custom Data - Zero - 1920x1080 848K.mp4 160.75 MB
  31. Turning Our Model into a Demo - Part 1 Gradio Overview - Zero - 1920x1080 997K.mp4 24.09 MB
  32. Turning Our Model into a Demo - Part 2 Building a Function to Map Inputs to Outputs - Zero - 1920x1080 684K.mp4 25.96 MB
  33. Turning Our Model into a Demo - Part 3 Getting Our Gradio Demo Running Locally - Zero - 1920x1080 777K.mp4 30 MB
  34. Making Our Demo Publicly Accessible - Part 1 Introduction to Hugging Face Spaces and Creating a Demos Directory - Zero - 1920x1080 650K.mp4 30.09 MB
  35. Making Our Demo Publicly Accessible - Part 2 Creating an App File - Zero - 1920x1080 980K.mp4 69.01 MB
  36. Making Our Demo Publicly Accessible - Part 3 Creating a README File - Zero - 1920x1080 820K.mp4 33.92 MB
  37. Making Our Demo Publicly Accessible - Part 4 Making a Requirements File - Zero - 1920x1080 872K.mp4 18.46 MB
  38. Making Our Demo Publicly Accessible - Part 5 Uploading Our Demo to Hugging Face Spaces and Making it Publicly Available - Zero - 1920x1080 940K.mp4 100.44 MB
  39. Summary Exercises and Extensions - Zero - 1920x1080 1213K.mp4 57.66 MB
  OneHack.Us - Free Tutorials, Guides, Courses, Community Forum & more!.txt 130 B
  Onehack.us - Together we learn!.url 246 B
  ▲ 41 total files

Description


Visit >>> https://onehack.us/

https://i.ibb.co/ZfnR3RG/Blue-32.png

ZeroToMastery - Learn Hugging Face by Building a Custom AI Model


Learn the Hugging Face ecosystem from scratch including Transformers, Datasets, Hub/Spaces, and more by building and customizing your own AI text classification model and launch it for use in the real-world!

Course details:

Gain real-world experience by learning how to utilize Hugging Face to solve practical problems with your own AI text classification model!

What you'll learn:
- How to prepare and process datasets using Hugging Face Datasets
- Techniques for training and fine-tuning text classification models with Hugging Face Transformers
- Methods for evaluating model performance using Hugging Face Evaluate
- Steps to deploy your trained model to the Hugging Face Hub
- How to create interactive demos for machine learning models using Gradio
- Practical experience in the full lifecycle of a machine learning project, from data preparation to deployment

Why Is This Hugging Face Project Awesome?
Because it'll take your AI and machine learning skills to the next level!

With this hands-on course you'll get to work directly with real-world data, building and training your own model to categorize text with accuracy. The course guides you through every step, from preparing your dataset to creating an interactive demo using Gradio, which you can proudly showcase on your Hugging Face profile.

By the end, you'll have not just theoretical knowledge, but a practical, deployable model that demonstrates your ability to tackle one of the most relevant challenges in AI today. Nothing is better than seeing your work in action (well...maybe other than showing it off to potential employers)!

Wait... What's a Project?
One of the most common things we hear from students is: "I want to build more projects!"

We love hearing that, because building projects is really the best way to learn. And unique, challenging projects can really make your portfolio stand out for potential employers.

But also...it just feel so good when you actually build something real!

That's why we've created ZTM Projects. A collection of comprehensive portfolio and practice projects that you can use to advance your knowledge, learn new skills, build your portfolio, and sometimes even just have fun!

Prerequisites:
- Basic knowledge of Python
- Machine Learning knowledge recommended but not required

General Details:
Author: Daniel Bourke
Duration: 6h 33m
Released: 9/2024
Language: English

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

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