[OneHack.Us] ZerotoMastery - Learn Hugging Face by Building a Custom AI Model

1. 30. OPTIONAL - Putting It All Together from Data Loading, to Model Training, to making Predictions on Custom Data - Zero - 1920x1080 848K.mp4 164.60 MB
2. 17. Model Training - Part 4 Setting Up Our Training Arguments with TrainingArguments - Zero - 1920x1080 1233K.mp4 113.74 MB
3. 38. Making Our Demo Publicly Accessible - Part 5 Uploading Our Demo to Hugging Face Spaces and Making it Publicly Available - Zero - 1920x1080 940K.mp4 102.85 MB
4. 11. Preparing Text Data for Use with a Model - Part 5 Creating a Function to Tokenize Our Data - Zero - 1920x1080 883K.mp4 92.92 MB
5. 06. Downloading a Text Classification Dataset from Hugging Face Datasets - Zero - 1920x1080 818K.mp4 79.91 MB
6. 15. Model Training - Part 2 Counting the Parameters in Our Model - Zero - 1920x1080 903K.mp4 76.25 MB
7. 14. Model Training - Part 1 Setting Up a Pretrained Model from the Hugging Face Hub - Zero - 1920x1080 1022K.mp4 74.23 MB
8. 19. Model Training - Part 6 Training Our Model and Fixing Errors Along the Way - Zero - 1920x1080 933K.mp4 73.89 MB
9. 35. Making Our Demo Publicly Accessible - Part 2 Creating an App File - Zero - 1920x1080 980K.mp4 70.66 MB
10. 20. Model Training - Part 7 Inspecting Our Models Loss Curves - Zero - 1920x1080 807K.mp4 68.16 MB
11. 09. Preparing Text Data for Use with a Model - Part 3 Getting a Tokenizer - Zero - 1920x1080 892K.mp4 66.19 MB
12. 29. Performing Inference - Part 5 Performing Inference with PyTorch - Zero - 1920x1080 851K.mp4 62.27 MB
13. 39. Summary Exercises and Extensions - Zero - 1920x1080 1213K.mp4 59.04 MB
14. 23. Turning Our Predictions into Prediction Probabilities with PyTorch - Zero - 1920x1080 839K.mp4 58.20 MB
15. 05. Getting Setup Importing Necessary Libraries to Google Colab - Zero - 1920x1080 914K.mp4 53.43 MB
16. 26. Performing Inference - Part 2 Using a Transformers Pipeline (one sample at a time) - Zero - 1920x1080 890K.mp4 53.15 MB
17. 21. Model Training - Part 8 Uploading Our Model to the Hugging Face Hub - Zero - 1920x1080 1009K.mp4 49.27 MB
18. 07. Preparing Text Data for Use with a Model - Part 1 Turning Our Labels into Numbers - Zero - 1920x1080 661K.mp4 47.42 MB
19. 28. Performing Inference - Part 4 Running Speed Tests to Compare One at a Time vs. Batched Predictions - Zero - 1920x1080 826K.mp4 47.34 MB
20. 27. Performing Inference - Part 3 Using a Transformers Pipeline on Multiple Samples at a Time (Batching) - Zero - 1920x1080 1160K.mp4 44.38 MB
21. 10. Preparing Text Data for Use with a Model - Part 4 Exploring Our Tokenizer - Zero - 1920x1080 700K.mp4 42.23 MB
22. 25. Performing Inference - Part 1 Discussing Our Options - Zero - 1920x1080 807K.mp4 41.96 MB
23. 12. Setting Up an Evaluation Metric (to measure how well our model performs) - Zero - 1920x1080 788K.mp4 40.11 MB
24. 03. What We're Going To Build! - Zero - 1920x1080 810K.mp4 35.39 MB
25. 18. Model Training - Part 5 Setting Up an Instance of Trainer with Hugging Face Transformers - Zero - 1920x1080 1119K.mp4 34.75 MB
26. 36. Making Our Demo Publicly Accessible - Part 3 Creating a README File - Zero - 1920x1080 820K.mp4 34.73 MB
27. 13. Introduction to Transfer Learning (a powerful technique to get good results quickly) - Zero - 1920x1080 780K.mp4 31.03 MB
28. 04. Getting Setup Adding Hugging Face Tokens to Google Colab - Zero - 1920x1080 868K.mp4 31.00 MB
29. 34. Making Our Demo Publicly Accessible - Part 1 Introduction to Hugging Face Spaces and Creating a Demos Directory - Zero - 1920x1080 650K.mp4 30.81 MB
30. 33. Turning Our Model into a Demo - Part 3 Getting Our Gradio Demo Running Locally - Zero - 1920x1080 777K.mp4 30.72 MB
31. 22. Making Predictions on the Test Data with Our Trained Model - Zero - 1920x1080 865K.mp4 29.88 MB
32. 01. Introduction (Hugging Face Ecosystem and Text Classification) - Zero - 1920x1080 619K.mp4 27.39 MB
33. 32. Turning Our Model into a Demo - Part 2 Building a Function to Map Inputs to Outputs - Zero - 1920x1080 684K.mp4 26.58 MB
34. 31. Turning Our Model into a Demo - Part 1 Gradio Overview - Zero - 1920x1080 997K.mp4 24.67 MB
35. 08. Preparing Text Data for Use with a Model - Part 2 Creating Train and Test Sets - Zero - 1920x1080 582K.mp4 20.53 MB
36. 16. Model Training - Part 3 Creating a Folder to Save Our Model - Zero - 1920x1080 856K.mp4 19.37 MB
37. 37. Making Our Demo Publicly Accessible - Part 4 Making a Requirements File - Zero - 1920x1080 872K.mp4 18.91 MB
38. 24. Sorting Our Model's Predictions by Their Probability - Zero - 1920x1080 651K.mp4 18.30 MB
39. 02. More Text Classification Examples - Zero - 1920x1080 490K.mp4 11.69 MB
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