Generating Human-level Text with Contrastive Search in Transformers 🤗

Guiding Text Generation with Constrained Beam Search in 🤗 Transformers

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

Train and Fine-Tune Sentence Transformers Models

Welcome aMUSEd: Efficient Text-to-Image Generation

Sentence Transformers is joining Hugging Face!

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.

Sentence Transformers in the Hugging Face Hub

Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers

Toppling the Hierarchy in Byte-level Language Modeling

This work examines recent byte-level models and their failure to perfectly manipulate characters. State-of-the-art byte-level models use a hierarchical structure, starting at the byte level, downsampl...

Little Brains, Big Feats: Exploring Compact Language Models

While large language models have been dominating the research landscape recently, small language models remain highly relevant across various domains; yet, they receive far less attention. In this study, we investigate how smaller language models perform during the generation stage within a Retrieval-Augmented Generation (RAG) system.

DiffusionGemma: 4x faster text generation

Training Design for Text-to-Image Models: Lessons from Ablations