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

•  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
•  17. Model Training - Part 4 Setting Up Our Training Arguments with TrainingArguments - Zero - 1920x1080 1233K.mp4  111.07 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
•  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
•  06. Downloading a Text Classification Dataset from Hugging Face Datasets - Zero - 1920x1080 818K.mp4  78.04 MB
•  15. Model Training - Part 2 Counting the Parameters in Our Model - Zero - 1920x1080 903K.mp4  74.46 MB
•  14. Model Training - Part 1 Setting Up a Pretrained Model from the Hugging Face Hub - Zero - 1920x1080 1022K.mp4  72.49 MB
•  19. Model Training - Part 6 Training Our Model and Fixing Errors Along the Way - Zero - 1920x1080 933K.mp4  72.15 MB
•  35. Making Our Demo Publicly Accessible - Part 2 Creating an App File - Zero - 1920x1080 980K.mp4  69.01 MB
•  20. Model Training - Part 7 Inspecting Our Models Loss Curves - Zero - 1920x1080 807K.mp4  66.56 MB
•  09. Preparing Text Data for Use with a Model - Part 3 Getting a Tokenizer - Zero - 1920x1080 892K.mp4  64.63 MB
•  29. Performing Inference - Part 5 Performing Inference with PyTorch - Zero - 1920x1080 851K.mp4  60.81 MB
•  39. Summary Exercises and Extensions - Zero - 1920x1080 1213K.mp4  57.66 MB
•  23. Turning Our Predictions into Prediction Probabilities with PyTorch - Zero - 1920x1080 839K.mp4  56.84 MB
•  05. Getting Setup Importing Necessary Libraries to Google Colab - Zero - 1920x1080 914K.mp4  52.18 MB
•  26. Performing Inference - Part 2 Using a Transformers Pipeline (one sample at a time) - Zero - 1920x1080 890K.mp4  51.91 MB
•  21. Model Training - Part 8 Uploading Our Model to the Hugging Face Hub - Zero - 1920x1080 1009K.mp4  48.12 MB
•  07. Preparing Text Data for Use with a Model - Part 1 Turning Our Labels into Numbers - Zero - 1920x1080 661K.mp4  46.31 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
•  27. Performing Inference - Part 3 Using a Transformers Pipeline on Multiple Samples at a Time (Batching) - Zero - 1920x1080 1160K.mp4  43.34 MB
•  10. Preparing Text Data for Use with a Model - Part 4 Exploring Our Tokenizer - Zero - 1920x1080 700K.mp4  41.24 MB
•  25. Performing Inference - Part 1 Discussing Our Options - Zero - 1920x1080 807K.mp4  40.98 MB
•  12. Setting Up an Evaluation Metric (to measure how well our model performs) - Zero - 1920x1080 788K.mp4  39.17 MB
•  03. What We're Going To Build! - Zero - 1920x1080 810K.mp4  34.56 MB
•  18. Model Training - Part 5 Setting Up an Instance of Trainer with Hugging Face Transformers - Zero - 1920x1080 1119K.mp4  33.94 MB
•  36. Making Our Demo Publicly Accessible - Part 3 Creating a README File - Zero - 1920x1080 820K.mp4  33.92 MB
•  13. Introduction to Transfer Learning (a powerful technique to get good results quickly) - Zero - 1920x1080 780K.mp4  30.3 MB
•  04. Getting Setup Adding Hugging Face Tokens to Google Colab - Zero - 1920x1080 868K.mp4  30.28 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
•  33. Turning Our Model into a Demo - Part 3 Getting Our Gradio Demo Running Locally - Zero - 1920x1080 777K.mp4  30 MB
•  22. Making Predictions on the Test Data with Our Trained Model - Zero - 1920x1080 865K.mp4  29.18 MB
•  01. Introduction (Hugging Face Ecosystem and Text Classification) - Zero - 1920x1080 619K.mp4  26.75 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
•  31. Turning Our Model into a Demo - Part 1 Gradio Overview - Zero - 1920x1080 997K.mp4  24.09 MB
•  08. Preparing Text Data for Use with a Model - Part 2 Creating Train and Test Sets - Zero - 1920x1080 582K.mp4  20.04 MB
•  16. Model Training - Part 3 Creating a Folder to Save Our Model - Zero - 1920x1080 856K.mp4  18.92 MB
•  37. Making Our Demo Publicly Accessible - Part 4 Making a Requirements File - Zero - 1920x1080 872K.mp4  18.46 MB
•  24. Sorting Our Model's Predictions by Their Probability - Zero - 1920x1080 651K.mp4  17.87 MB
•  02. More Text Classification Examples - Zero - 1920x1080 490K.mp4  11.42 MB
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