huggingface/text-embeddings-inference

State-of-the-Art Embeddings, Retrieval, and Reranking

Large Language Model Text Generation Inference

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Retrieval and Retrieval-augmented LLMs

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

Seamlessly integrate LLMs into scikit-learn.

Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

🤗 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.