Welcome to Transformers4Rec’s documentation!

Contents:

• Getting Started
  • Highlights
  • Quick tour
  • Use cases
  • Installation
• Why Transformers4Rec?
  • The relationship between NLP and RecSys
  • Integration with HuggingFace Transformers
• Model Architectures
  • Feature Aggregation (Input Block)
  • Sequence Masking
  • Sequence Processing (Transformer/RNN Block)
  • Prediction head (Output Block)
  • Regularization
• Training and Evaluation
  • Data loading
  • PyTorch
  • TF Training and Evaluation
• End-to-end pipeline with NVIDIA Merlin
  • Integration with NVTabular
  • Integration with Triton Inference Server
• Examples
  • Getting started session-based with Synthetic Data
  • End-to-end session-based with Yoochoose dataset
  • Tutorial: End-to-end session-based recommendation
• API Documentation
  • transformers4rec package
  • merlin_standard_lib package
• Additional Resources
  • Transformers4Rec and Session-based recommendation
  • Competitions
  • NVIDIA Merlin
  • Supported HuggingFace architectures and pre-training approaches
  • Other Resources

Indices and tables

• Index

• Module Index

• Search Page