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…
An n8n workflow that watches a Notion database for new pages. It reads each page, cuts the text into chunks, turns the chunks into vectors with an OpenAI embed…
An n8n workflow that watches a Notion database for new pages. It reads each page, cuts the text into chunks, turns the chunks into vectors with a Gemini embedd…
An n8n workflow that answers questions about the GitHub REST API. It downloads GitHub’s OpenAPI description, stores it in Pinecone as OpenAI embeddings, and le…
An n8n workflow that recommends movies from a chat window. It loads your movie CSV into Qdrant with OpenAI embeddings, and an AI Agent asks for three picks clo…
An n8n workflow that downloads the Texas Tax Code, stores its sections in Qdrant with Mistral embeddings and adds a chat. An OpenAI agent answers from the clos…
An n8n workflow that loads quarterly earnings PDFs from Google Drive into a Pinecone index with Gemini embeddings. An OpenAI agent then searches that index for…
An n8n workflow that reads the PDF and text files in a Supabase storage bucket, stores their text as OpenAI embeddings in a Supabase table, and gives you a cha…
n8n workflow
An n8n workflow that reads one Google Doc, turns its text into OpenAI embeddings and stores them in a Pinecone index, so the document can be searched by meanin…
microsoft · Kit
Microsoft’s official inference framework for 1-bit LLMs, built on llama.cpp. It runs ternary models such as BitNet b1.58 on x86 and ARM CPUs, and has a GPU ker…