Yalda Embedding
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…
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…
vllm-sr · Kit
Answers choice, yes-or-no, score, box and tracking questions about text, images or video in one call, with a probability for each answer. For people building r…
vllm-sr · Kit
Answers choice, yes-or-no and score questions about text, images or video in one call, with a probability for each answer. A 2B decision model for routing and…
vllm-sr · Kit
Answers choice, yes-or-no and score questions about text, images or video in one call, returning a probability for each answer. A small decision model for rout…
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…
stephenlb · Kit
Answers yes/no, multiple-choice and score questions about a text with a probability for each answer, using a Gemma 4 12B base with a small decision head. For d…
perplexity-ai · Kit
Turns text, images and document pages into vectors for search, and can embed each chunk with its surrounding document in view. For developers who build retriev…
OpenMOSS-Team · Kit
Watches a live video stream and answers questions while frames keep arriving, staying silent when nothing new shows. For developers and researchers working on…
nvidia · Kit
Transcribes English speech into lowercase text. A 1.1B FastConformer Transducer model from the NVIDIA NeMo and Suno.ai teams, for developers who add speech rec…
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…
nace-ai · Kit
Scores yes or no, multiple choice and rating questions about a document in one pass, with a probability for every option. An 8B decision model from Nace.AI tha…
microsoft · Kit
Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…
marcoyang · Kit
Turns 16 kHz speech and general audio into 1280-number frame-level features, as a pretrained Zipformer encoder with about 600M parameters. For researchers who…
Maincode · Kit
Completes and writes Python code from a function signature or a docstring. A 1B code model from Maincode that is small enough to run on consumer hardware, for…
lightonai · Kit
Turns queries and documents into sparse vectors you can search with an inverted index, across several languages and long text. A 339M multilingual retrieval mo…
inclusionAI · Kit
A multilingual text-to-speech model from inclusionAI that clones a voice from a short clip, designs voices from a description, and controls emotion, speed and…
inclusionAI · Kit
Listens to audio with a text instruction and answers in text, with optional spoken replies. A compact audio-language model from inclusionAI for speech recognit…
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…
FINAL-Bench · Kit
Reads a situation and a set of typed questions, then returns a probability for every option in one forward pass, with no text generated. For builders adding ca…
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…