AI projects from Hugging Face

Qwen3-Reranker-0.6B

Qwen · Kit

Scores how well each passage answers a query, to put the best passages first in search and retrieval systems. A 0.6B text reranking model covering over 100 lan…

bge-reranker-v2-m3

BAAI · Kit

Scores how well a passage answers a query so you can reorder search results, across many languages. Takes a question and a document and returns one relevance s…

Qwen3-Embedding-8B

Qwen · Kit

Turns text into vectors for search, code retrieval, classification and clustering, in over 100 languages. The 8B model in Qwen's embedding family, with adjusta…

KURE-Sparse-nano

nlpai-lab · Kit

A compact Korean and English sparse retrieval model that turns queries and documents into sparse vectors for search over an inverted index, for teams building…

Qwen3-Embedding-0.6B

Qwen · Kit

Turns text into number vectors for search, retrieval, classification and clustering, in over 100 languages including code. The smallest, 0.6B-parameter text em…

bge-m3

BAAI · Kit

Turns text in more than 100 languages into vectors for search, from short sentences to documents of 8192 tokens. It supports dense, multi-vector and sparse ret…

all-MiniLM-L6-v2

sentence-transformers · Kit

Turns sentences and short paragraphs into 384-dimensional vectors for semantic search, clustering and sentence similarity. For developers building English sear…

embeddinggemma-2

google · Kit

Google DeepMind's open embedding model that places text, code, images, video and audio in one 768 number vector space, built to run on laptops and phones. Suit…

MTEB-BR Leaderboard

MTEB-BR · Kit

Ranks text embedding models on native Brazilian Portuguese tasks, with 93 models scored on 22 tasks. A static leaderboard page for researchers and engineers ch…