mmBERT-base
jhu-clsp · Kit
Reads and encodes text in over 1,800 languages, for classification, embeddings, retrieval and fill-in-the-blank tasks. Built for developers and researchers who…
jhu-clsp · Kit
Reads and encodes text in over 1,800 languages, for classification, embeddings, retrieval and fill-in-the-blank tasks. Built for developers and researchers who…
Yaldat · Kit
Turns Persian text into 1,024-number embeddings for semantic search and retrieval. Built for developers who need to match Persian questions to the right passag…
unsloth · Kit
Turns English text into embeddings for search and retrieval, in a small GGUF file of 33.2M parameters. For developers who build search or retrieval apps on mod…
speechbrain · Kit
Checks whether two audio recordings come from the same speaker and can output speaker embeddings, using an ECAPA-TDNN model in SpeechBrain. For developers and…
nomic-ai · Kit
Turns sentences into vectors on your own machine through llama.cpp, using compact GGUF files, for search and RAG questions. For developers who want local text…
neuralmind · Kit
A BERT model pretrained on Brazilian Portuguese that fills in masked words and produces text embeddings. For NLP developers and researchers who work with Portu…
microsoft · Kit
Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…
ggml-org · Kit
Runs a GGUF copy of Google's embeddinggemma-2, a 271M feature extraction model, with the llama command or the Llama app. For developers who want a small text e…
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…
city96 · Kit
A GGUF conversion of Google's T5 v1.1 XXL text encoder, for turning text into embeddings in llama.cpp or feeding image generation models through ComfyUI-GGUF.…
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…
5CD-AI · Kit
Transcribes Vietnamese and mixed Vietnamese and English speech, offline or in 0.48 second streaming chunks, with a 359M-parameter model on Google's EmbeddingGe…
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…
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…
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…
pyannote · Kit
Turns a voice recording into a speaker embedding with a pyannote.audio wrapper around the WeSpeaker ResNet34 model, so you can compare how alike two speakers s…
mrm8488 · Kit
A 272M model, fine-tuned from EmbeddingGemma 2, that reads the state of a workflow and a schema of questions and returns a typed answer with a calibrated confi…
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…
m-a-p · Kit
A music encoder that turns whole songs of 30 to 360 seconds into numeric features at frame or recording level. It suits music AI researchers and developers wor…
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…
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,…
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…
litert-community · Kit
The 740M multimodal EmbeddingGemma 2 packaged for on-device use with LiteRT-LM. It maps text, code, images, video and audio into one shared 768-dimensional vec…
MineAITechnology · Kit
Scores how close two short English texts are in meaning with a small 57.8M embedding model trained from scratch, an early experiment for people who study or ba…
laion · Kit
A 340M-parameter audio-text model from LAION that places sounds and English text in one embedding space, for zero-shot audio classification, audio-text search…
unsloth · Kit
Turns text into 768-dimensional vectors for on-device search, retrieval and clustering. The base model also covers images, video and audio. Packaged as GGUF by…
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…
gradium · Kit
Provides 102 ready-made voices for the Phonon S text-to-speech model across English, French, German, Spanish and Portuguese, each as a small embedding file you…
Cactus-Compute · Kit
A small on-device model from Cactus Compute for tool calling, structured extraction and text embeddings, used through the cactus Python package. For developers…
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…
Cactus-Compute · Kit
Transcribes speech in seven languages with word timestamps and speech embeddings, in a model only 16.9 MB in size. Runs from a short Python script, for develop…
memorilla · Kit
Holds memory-module checkpoints for Memorilla, which add a memory to a frozen Qwen3-8B model through a Qwen3-Embedding-4B encoder. For researchers testing memo…
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…
Detomo · Kit
A Streamlit app from Detomo for identifying car parts from pictures, with an ONNX model and saved embeddings in its repository. For people exploring image clas…
webml-community · Kit
A browser page that plots text embeddings in a 3D view, using the EmbeddingGemma model in ONNX form. For developers and learners who want to see how embeddings…
rayyan0 · Kit
A Gradio demo of the vidore ColPali v1.3 model, shipped with a stored file of page embeddings. For developers and researchers trying out visual document retrie…
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…
jasperai · Kit
A Gradio app from jasperai that finds the nearest matches in the MONET dataset from an uploaded image or a caption keyword, using DINOv2, CLIP or SSCD embeddin…
google · Kit
A leaderboard page for the Massive Sound Embedding Benchmark, published by Google, built with Gradio. For researchers who compare sound embedding models.
google · Kit
A Gradio draw challenge from google built around the EmbeddingGemma 2 model. The card gives no rules, so the page itself shows how to play.
Caspivs · Kit
Ranks documents, compares sentences across languages and searches your own images by text, all inside your browser so nothing you type or upload leaves your de…
avantiwhenever · Kit
Shows how to pick which poster to display for each title using CLIP image embeddings instead of viewing history. A static browser demo inspired by a public Net…
mteb · Kit
Ranks embedding models for text, images, audio and video on a leaderboard page that runs in the browser or in Docker. For people choosing which embedding model…