Optimizing Bark using 🤗 Transformers

Introducing Optimum: The Optimization Toolkit for Transformers at Scale

Boosting Wav2Vec2 with n-grams in 🤗 Transformers

Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers

Introducing Modular Diffusers - Composable Building Blocks for Diffusion Pipelines

Mixture of Experts (MoEs) in Transformers

Probabilistic Time Series Forecasting with 🤗 Transformers

Guiding Text Generation with Constrained Beam Search in 🤗 Transformers

Overview of natively supported quantization schemes in 🤗 Transformers

Hyperparameter Search with Transformers and Ray Tune

Train your first Decision Transformer

Memory-efficient Diffusion Transformers with Quanto and Diffusers

Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance

arXiv:2304. 11127v5 Announce Type: replace-cross Abstract: Recent scientific advances require complex experiment design, necessitating the meticulous tuning of many experiment parameters.