Hackable and optimized Transformers building blocks, supporting a composable construction.
🤗 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 subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
A library for mechanistic interpretability of GPT-style language models
Scalable and memory-optimized training of diffusion models
State-of-the-Art Embeddings, Retrieval, and Reranking
1 capture since 2026-05-25
