Transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Filament plugins, Laravel packages and open source starter kits actively maintained. All MIT, with releases for v3, v4 and v5 where applicable.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A high-throughput and memory-efficient inference and serving engine for LLMs
Port of OpenAI's Whisper model in C/C++
Fully automatic censorship removal for language models
Faster Whisper transcription with CTranslate2
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
Train a tiny Transformer from scratch on your iMessage history, entirely on your Mac.
All packages have CI, Pest tests and open issues tagged good first issue.
New version available.