d3-turbo
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, 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…
torchcast-ai · Kit
A 4B decision model built on Qwen3.5-4B that returns yes/no probabilities, choice distributions and score distributions in one pass without generating text. Fo…
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…
sky7350 · Kit
Gives a probability for each allowed answer to a question about a given state, as yes/no, a choice or a score, without writing text. For developers who add qui…
perplexity-ai · Kit
Picks the best option for a decision from text and images, such as which team should handle a request, with a probability for each choice, for developers who b…
perplexity-ai · Kit
Sorts a request into the choices you set, from text and images, using a Q8_0 GGUF copy of a small decision model. For developers who can run a protocol v3 runt…
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…
mukaddamzaid · Kit
Answers typed questions about a case, given as text, JSON or a photo, in one pass with a probability for each allowed answer. A 27B decision model that writes…
mlx-community · Kit
A 4-bit MLX copy of Cloudflare's clef-flash that turns a state and typed questions into a probability for every allowed answer on Apple Silicon Macs. Not a cha…
microsoft · Kit
Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…
ibm-granite · Kit
Handles summaries, classification, extraction, question answering, RAG, code tasks and tool calling in 12 languages with a 340M-parameter instruct model from I…
harshatheg · Kit
Extracts structured fields, routes decisions and classifies text on Apple Silicon with MLX, scoring every schema field at once. Cuts latency 5.6x to 7.0x on an…
google-t5 · Kit
A 220 million parameter text-to-text model that handles translation between English, French, Romanian and German, and also summarization, question answering an…
google-bert · Kit
Fills in masked words and extracts text features in 104 languages. A case-sensitive BERT base model meant to be fine-tuned for classification, tagging and ques…
doofz · Kit
Answers typed questions about a ticket, email or document in one fast pass, with calibrated probabilities, extracted numbers, excerpts and citations. A 322M mu…
bartowski · Kit
Static GGUF quantizations of Cloudflare's clef decision model, which scores every answer option to typed questions about a state in one pass instead of writing…
answerdotai · Kit
Predicts a hidden word in English text or code, and after fine-tuning serves as a larger long-context encoder for search, classification and retrieval. Made fo…
answerdotai · Kit
Predicts a hidden word in English text or code, and after fine-tuning serves as a long-context encoder for search, classification and retrieval. Made for devel…
SupersonicLabs · Kit
Takes a text, a question and a list of possible answers, and picks the best one for classification, routing, ordered scores and yes-or-no calls. A 144M model f…
Poindexter-Labs · Kit
Returns structured decisions from plain-language context: pick one option, judge a yes or no claim, or score an item against a rubric. For developers building…
ironbcc · Kit
A 9B decision model based on Qwen3.5-9B. You give it a situation, a question and options, and it returns how likely each option is, in one pass with no text ge…
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…
distilbert · Kit
A small, fast English language model distilled from BERT base, with 67M parameters. Fills in masked words and is mainly meant to be fine-tuned for classificati…
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…
gevaertlab · Kit
Scores the answer options of medical questions from text or images in one pass, without writing text. A research model from Stanford's Gevaert Lab, not a medic…
dmis-lab · Kit
Predicts masked words in English text and gives you a pre-trained encoder with a 32K context to fine-tune for classification or retrieval. A fill-mask model fr…
Remek · Kit
Answers typed questions about a message, document or agent trace with a calibrated probability for each allowed answer, in one pass without generating text. An…
google-bert · Kit
Fills in masked words and extracts text features for English. The uncased BERT base model from Google, meant to be fine-tuned for classification, tagging and q…
convaiinnovations · Kit
Reads text such as emails and tickets in 100+ languages and answers typed questions with probabilities in one pass. A 322M model, with no text generation, for…
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…
Sense-X · Kit
A Gradio demo that runs the Sense-X UniFormer video model on a clip and reports its class, with three example videos included. Suits students and developers wh…
Sense-X · Kit
A Gradio demo that runs the Sense-X UniFormer image model on a picture and reports its class, with a few example photos included. Suits students and developers…
keras-io · Kit
Shows a forest-based classifier built in TensorFlow inside a Gradio page, from an example by Khalid Salama and adapted by Tannia Dubon. For students and develo…
keras-io · Kit
Demonstrates RandAugment, a random data augmentation method for image classification, with a Keras model in a Gradio page and four sample pictures. For machine…
keras-io · Kit
Identifies flower types in a photo with a small MobileViT model from Keras in a Gradio page, with example images included. For machine learning learners and pl…
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,…
baselabs · Kit
Returns calibrated probabilities for yes-or-no, multiple-choice and scored questions about a text or an image, from one 2B model. For teams that route, triage…
vllm-sr · Kit
A 9B model that answers several choice, yes or no and score questions about text, images or video in one call, returning a probability for every answer instead…
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 instead of text. A 27B decision…
StrandsAgents · Kit
Makes fast decisions for agent workflows by picking among options and rating things on a scale, with a calibrated confidence for every answer. For developers w…
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…
vllm-sr · Kit
Answers many questions about one text, image or video input at once, with a probability for each answer and no generated text. A 27B multimodal decision model…
vllm-sr · Kit
Answers choice, yes or no, and score questions about text, images and video in one call, returning a probability for each answer instead of generated text. For…
Ultralytics · Kit
Finds objects in images and video with the Ultralytics YOLO model family, which also covers segmentation, classification, depth, pose and tracking. For develop…
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…
openjev · Kit
Answers typed decisions about text, web pages and screenshots, picking a choice, a yes-or-no probability or a score from your own labels in one forward pass. F…
perplexity-ai · Kit
Reads a situation and several questions in one pass, then answers each with a choice, a yes or no, or a score. Built for teams that route, flag or rate incomin…
nvidia · Kit
Predicts classes or values for new table rows from labeled example rows given as context. NVIDIA's pretrained tabular foundation model for classification and r…
baselabs · Kit
Answers a set of questions about a situation in one pass and returns a calibrated probability for each option. A 9B decision model from Base Labs at Baseten, t…
perplexity-ai · Kit
A small Perplexity decision model built on Qwen3.5-4B that reads text and images and answers choice, yes-or-no and score questions with probabilities, for fast…
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…
sarvamai · Kit
Scores every answer option for questions about a text, with a probability for each, in one forward pass. For teams that need fixed-choice decisions, such as ti…
inclusionAI · Kit
Makes typed decisions from a text state and named questions, returning probabilities for choices, yes or no answers and ordinal scores, with no generated text.…
baselabs · Kit
Answers a set of questions about a situation in one pass and returns a calibrated probability for each option. A 27B decision model from Base Labs at Baseten,…
convaiinnovations · Kit
Answers typed questions about a message, email, ticket or JSON record with calibrated probabilities in one pass of about 33 ms, in 100+ languages. For develope…
HAL-X-AI · Kit
Answers plain-language questions about a message, document, image or chart with a probability for every option, in tens of milliseconds. For developers who rou…
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…
Andy1621 · Kit
A Gradio demo that labels short videos with the Andy1621/uniformer model, with three sample clips. It suits people who want to try video classification in a br…
Andy1621 · Kit
A Gradio demo that classifies pictures with the Andy1621/uniformer model, with four sample pictures. It suits people who want to try image classification in a…
abidlabs · Kit
A Gradio 3.0.17 image classifier demo with two sample photos, a cheetah and a lion. It suits people who want to try image classification in a browser.
abidlabs · Kit
A Gradio image classifier demo with four sample photos, a banana, a car, a cheetah and a lion. It suits people who want to try image classification in a browse…