AI projects from Hugging Face

Julia 1

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…

Copernicus (31B)

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…

Seb-9B-v2

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…

V-JEPA 2

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 base uncased

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…

bge-small-zh-v1.5

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…

MANTA-27B

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…

UltraBERT-380M

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…

basal-omni-1.0-ultra

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…

BERT base model (uncased)

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…

Laya Multilingual

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-embed-text-v1.5

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…

Uniformer_video_demo by Sense-X

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…

Uniformer_image_demo by Sense-X

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…

TFClassificationForest

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…

RandAugment for Image Classification

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…

Flowers Classification MobileViT

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…

Qwen3-Embedding-4B

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,…

joey-1

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…

d3-flash

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…