Book Content
chapters • 12h28m total length
1. From Bag-of-Words to the Transformers
2. A Hands-On Introduction to the Subject
3. Autoencoding Language Models
4. Autoregressive and Other Language Models
5. Fine-Tuning Language Models for Text Classification
6. Fine-Tuning Language Models for Token Classification
7. Text Representation
8. Working with Efficient Transformers
9. Cross-Lingual and Multilingual Language Modeling
10. Serving Transformer Models
11. Attention Visualization and Experiment Tracking
