AI projects from Hugging Face

deberta-v3-base-prompt-injection-v2

protectai · Kit

Flags English text that tries to hijack a language model, labeling each input as benign or prompt injection. For developers who screen user input in LLM apps.

harrier-oss-v1-27b

microsoft · Kit

Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…

svd-linear-attention-roberta-base-adasplash

Hooshaai · Kit

Classifies English text, such as SST-2 sentiment, with a RoBERTa Base model whose attention is made sparse by AdaSplash, trading some accuracy for lower latenc…

hs-rerank-1

hindsight-ai · Kit

Scores how well each document answers a query, in eight languages and for inputs up to 8,192 tokens, so a search or memory system can put the best matches firs…

UIBK-Embedding-v1

DataScience-UIBK · Kit

Finds the passages that best match a query, using one model that combines token level and whole text matching. An English retrieval model from the University o…

bge-small-en-v1.5

BAAI · Kit

A small English text embedding model from BAAI that turns sentences into vectors for search and retrieval. About 33M parameters, and part of the FlagEmbedding…

bge-base-en-v1.5

BAAI · Kit

Turns English text into number vectors for search and retrieval. A 109M-parameter embedding model from BAAI, for developers who build semantic search or retrie…

Qwen3Guard-Stream-0.6B

Qwen · Kit

Checks text for safety token by token while a language model is still writing, rating each part safe, controversial or unsafe in 119 languages and dialects. Su…

auto-150m-3

ProCreations · Kit

Decides whether a coding agent's proposed tool call should run, answering approve or deny from the call, the request and the history. The smallest Auto model,…

SPARSEUP

Linkup-Platform · Kit

A 188M-parameter English sparse retrieval model from Linkup that turns queries and documents into weighted word lists for search. It scores 56.4 on BEIR, the b…

multilingual-e5-large

intfloat · Kit

Turns text in about 100 languages into 1024-number vectors for search, matching and retrieval. A 560M-parameter embedding model from intfloat, built on xlm-rob…

hs-embed-1

hindsight-ai · Kit

Turns text into compact vectors for search and matching in eight languages, with inputs up to 8,192 tokens. A small 112M embedding model built for Hindsight, r…

bge-small-zh-v1.5

BAAI · Kit

Turns Chinese text into dense vectors for search, classification, clustering and semantic matching. A 24M-parameter BGE embedding model from BAAI under the MIT…

paraphrase-multilingual-MiniLM-L12-v2

sentence-transformers · Kit

Turns sentences and paragraphs into 384-number vectors for semantic search, clustering and sentence similarity, with a multilingual model from the sentence-tra…

voyage-4-nano

MongoDB · Kit

Multilingual text embedding model of 346M parameters from the Voyage 4 series, for semantic search and retrieval, with flexible vector sizes. For developers bu…

nomic-embed-text-v1.5

nomic-ai · Kit

Turns English text into embedding vectors for search, clustering and classification, and the vectors can be cut to a smaller size. It suits developers building…

Qwen3-Embedding-4B

Qwen · Kit

Turns text and code in over 100 languages into vectors for search, retrieval, classification and clustering, with adjustable vector size and task instructions,…

harrier-oss-v1-0.6b

microsoft · Kit

Turns text in many languages into number vectors for search, clustering and similarity matching, a 0.6B embedding model from Microsoft for developers building…

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…