Transformers for Text Classification and Feature Extraction

teach practical transformer use while keeping claims honest.

Units

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

Module work

• Activity
• Knowledge check
• Summary