[OneHack.Us] ZerotoMastery - Learn Hugging Face by Building a Custom AI Model
File List
- 30. OPTIONAL - Putting It All Together from Data Loading, to Model Training, to making Predictions on Custom Data - Zero - 1920x1080 848K.mp4 160.7 MB
- 17. Model Training - Part 4 Setting Up Our Training Arguments with TrainingArguments - Zero - 1920x1080 1233K.mp4 111.1 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 100.4 MB
- 11. Preparing Text Data for Use with a Model - Part 5 Creating a Function to Tokenize Our Data - Zero - 1920x1080 883K.mp4 90.7 MB
- 06. Downloading a Text Classification Dataset from Hugging Face Datasets - Zero - 1920x1080 818K.mp4 78.0 MB
- 15. Model Training - Part 2 Counting the Parameters in Our Model - Zero - 1920x1080 903K.mp4 74.5 MB
- 14. Model Training - Part 1 Setting Up a Pretrained Model from the Hugging Face Hub - Zero - 1920x1080 1022K.mp4 72.5 MB
- 19. Model Training - Part 6 Training Our Model and Fixing Errors Along the Way - Zero - 1920x1080 933K.mp4 72.2 MB
- 35. Making Our Demo Publicly Accessible - Part 2 Creating an App File - Zero - 1920x1080 980K.mp4 69.0 MB
- 20. Model Training - Part 7 Inspecting Our Models Loss Curves - Zero - 1920x1080 807K.mp4 66.6 MB
- 09. Preparing Text Data for Use with a Model - Part 3 Getting a Tokenizer - Zero - 1920x1080 892K.mp4 64.6 MB
- 29. Performing Inference - Part 5 Performing Inference with PyTorch - Zero - 1920x1080 851K.mp4 60.8 MB
- 39. Summary Exercises and Extensions - Zero - 1920x1080 1213K.mp4 57.7 MB
- 23. Turning Our Predictions into Prediction Probabilities with PyTorch - Zero - 1920x1080 839K.mp4 56.8 MB
- 05. Getting Setup Importing Necessary Libraries to Google Colab - Zero - 1920x1080 914K.mp4 52.2 MB
- 26. Performing Inference - Part 2 Using a Transformers Pipeline (one sample at a time) - Zero - 1920x1080 890K.mp4 51.9 MB
- 21. Model Training - Part 8 Uploading Our Model to the Hugging Face Hub - Zero - 1920x1080 1009K.mp4 48.1 MB
- 07. Preparing Text Data for Use with a Model - Part 1 Turning Our Labels into Numbers - Zero - 1920x1080 661K.mp4 46.3 MB
- 28. Performing Inference - Part 4 Running Speed Tests to Compare One at a Time vs. Batched Predictions - Zero - 1920x1080 826K.mp4 46.2 MB
- 27. Performing Inference - Part 3 Using a Transformers Pipeline on Multiple Samples at a Time (Batching) - Zero - 1920x1080 1160K.mp4 43.3 MB
- 10. Preparing Text Data for Use with a Model - Part 4 Exploring Our Tokenizer - Zero - 1920x1080 700K.mp4 41.2 MB
- 25. Performing Inference - Part 1 Discussing Our Options - Zero - 1920x1080 807K.mp4 41.0 MB
- 12. Setting Up an Evaluation Metric (to measure how well our model performs) - Zero - 1920x1080 788K.mp4 39.2 MB
- 03. What We're Going To Build! - Zero - 1920x1080 810K.mp4 34.6 MB
- 18. Model Training - Part 5 Setting Up an Instance of Trainer with Hugging Face Transformers - Zero - 1920x1080 1119K.mp4 33.9 MB
- 36. Making Our Demo Publicly Accessible - Part 3 Creating a README File - Zero - 1920x1080 820K.mp4 33.9 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 30.3 MB
- 34. Making Our Demo Publicly Accessible - Part 1 Introduction to Hugging Face Spaces and Creating a Demos Directory - Zero - 1920x1080 650K.mp4 30.1 MB
- 33. Turning Our Model into a Demo - Part 3 Getting Our Gradio Demo Running Locally - Zero - 1920x1080 777K.mp4 30.0 MB
- 22. Making Predictions on the Test Data with Our Trained Model - Zero - 1920x1080 865K.mp4 29.2 MB
- 01. Introduction (Hugging Face Ecosystem and Text Classification) - Zero - 1920x1080 619K.mp4 26.7 MB
- 32. Turning Our Model into a Demo - Part 2 Building a Function to Map Inputs to Outputs - Zero - 1920x1080 684K.mp4 26.0 MB
- 31. Turning Our Model into a Demo - Part 1 Gradio Overview - Zero - 1920x1080 997K.mp4 24.1 MB
- 08. Preparing Text Data for Use with a Model - Part 2 Creating Train and Test Sets - Zero - 1920x1080 582K.mp4 20.0 MB
- 16. Model Training - Part 3 Creating a Folder to Save Our Model - Zero - 1920x1080 856K.mp4 18.9 MB
- 37. Making Our Demo Publicly Accessible - Part 4 Making a Requirements File - Zero - 1920x1080 872K.mp4 18.5 MB
- 24. Sorting Our Model's Predictions by Their Probability - Zero - 1920x1080 651K.mp4 17.9 MB
- 02. More Text Classification Examples - Zero - 1920x1080 490K.mp4 11.4 MB
- Onehack.us - Together we learn!.url 246 bytes
- OneHack.Us - Free Tutorials, Guides, Courses, Community Forum & more!.txt 130 bytes
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