How to generate text: using different decoding methods for language generation with Transformers

Generating Human-level Text with Contrastive Search in Transformers 🤗

Guiding Text Generation with Constrained Beam Search in 🤗 Transformers

Faster Text Generation with Self-Speculative Decoding

Universal Assisted Generation: Faster Decoding with Any Assistant Model

How to train a new language model from scratch using Transformers and Tokenizers

Train and Fine-Tune Sentence Transformers Models

Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers

On the quantitative analysis of decoder-based generative models

Transformer-based Encoder-Decoder Models

Training a language model with 🤗 Transformers using TensorFlow and TPUs

Tokenization in Transformers v5: Simpler, Clearer, and More Modular

Introduction to Transformers: an NLP Perspective

arXiv:2311. 17633v2 Announce Type: replace-cross Abstract: Transformers have dominated empirical machine learning models of natural language processing.