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…
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…
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…
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…
ZhuYuhan · Kit
Finds when an event happens in a video and answers multiple-choice questions about it, by scoring candidates directly. Built on Qwen3.5-4B for video researcher…
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…
Qwen · Kit
Turns text into number vectors for search, retrieval and clustering in more than 100 languages, as a 0.6B model in GGUF format. Suits developers building searc…
perplexity-ai · Kit
Scores queries against text, images and document pages with a ColBERT-style model that keeps one small vector per token. For developers who build search over m…
openbmb · Kit
Scores OCR readings of text, formula and table regions with a quality value between 0 and 1, in GGUF files for llama.cpp. For people who check OCR results on t…
Octopus1 · Kit
Turns motion-sensor recordings (accelerometer and gyroscope) into feature vectors with a PyTorch encoder. It suits researchers who build models on inertial sen…
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…
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…
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…
ggml-org · Kit
Small 421M-parameter decision model in GGUF form that you serve locally and call through a systemone API. For developers who use llama.cpp tooling and want a c…
galilai-group · Kit
Encodes video clips and single images into feature vectors, trained by self-supervised learning on about 5,300 video hours. A video encoder for researchers, un…
flowercomputers · Kit
Turns text into 1024-dimension vectors with a static embedding model, trimmed to 25 languages. Fast sentence similarity and retrieval, without a transformer, i…
facebook · Kit
Turns videos and images into embeddings for video classification, retrieval, or as the video encoder of a vision-language model. Built by FAIR at Meta for deve…
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…
ACE-Step · Kit
Generates music and other audio in just 8 steps with a 4B-parameter diffusion model, run locally through a Gradio interface. For creators and developers with a…
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…
sensenova · Kit
A unified multimodal model for creating and editing images, with legible Chinese and English text, native 4K output and control through boxes and reference ima…