Transformers for Text Classification and Feature Extraction

teach practical transformer use while keeping claims honest.

Units

1. Unit 09.00: 09.00 Transformer blocks at a practical level
2. Unit 09.01: 09.01 Tokenizers, truncation, padding, and attention masks
3. Unit 09.02: 09.02 Using pretrained models for feature extraction
4. Unit 09.03: 09.03 Fine-tuning boundaries and evaluation
5. Unit 09.04: 09.04 Error analysis and bias checks for text models
6. Unit 09.05: 09.05 Project step: transformer-assisted classification report

Module work

• Activity
• Knowledge check
• Summary