Large language models

Deep Dive: Vision Transformers On Hugging Face Optimum Graphcore

A Gentle Introduction to 8-bit Matrix Multiplication for transformers at scale using transformers, accelerate and bitsandbytes

Train and Fine-Tune Sentence Transformers Models

Efficient training of language models to fill in the middle

A hazard analysis framework for code synthesis large language models

Building a Playlist Generator with Sentence Transformers

Introducing The World's Largest Open Multilingual Language Model: BLOOM

Convert Transformers to ONNX with Hugging Face Optimum

Best practices for deploying language models

Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.

Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers

Accelerated Inference with Optimum and Transformers Pipelines

Getting Started with Transformers on Habana Gaudi

Habana Labs and Hugging Face Partner to Accelerate Transformer Model Training

Introducing Decision Transformers on Hugging Face 🤗

Accelerate BERT inference with Hugging Face Transformers and AWS Inferentia

New GPT-3 capabilities: Edit & insert

We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.

Guiding Text Generation with Constrained Beam Search in 🤗 Transformers

Lessons learned on language model safety and misuse

We describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.

Fine-Tune ViT for Image Classification with 🤗 Transformers

Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers