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Browse AI models for multimodal decomposition and recomposition pipelines — plug any model into your extractors.

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Image Segmentation

apple/coreml-detr-semantic-segmentation

141

coreml

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Image Segmentation

Xenova/deeplabv3-mobilevit-small

141

transformers.js

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Audio Classification

Xenova/ast-finetuned-speech-commands-v2

141

transformers.js

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Text To Audio

sil-ai/senga-LUK-aligned-speecht5

141

transformers

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Question Answering

amara16/distilbert-extractive-qa-project

141

transformers

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Question Answering

wissamantoun/araelectra-base-artydiqa

141

transformers

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Zero Shot Image Classification

bakhil-aissa/MedSiglip

141

transformers

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Text To Video

weiweiw01/Wan2.1-T2V-14B-gguf

141

gguf

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Text To Video

liskasYR/Sulphur-2-base

141

diffusers

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Audio Classification

ramen-noodels/white_switch_click_detector

141

transformers

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Object Detection

mlboydaisuke/RF-DETR-CoreAI

141

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Zero Shot Image Classification

m-toman/siglip2-large-patch16-256-vision

141

transformers

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Question Answering

Proactive-Interactive-R1/Proactive-Interactive-R1-Math-7B

141

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Audio To Audio

AXERA-TECH/Speech-Translation.axera

140

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Image Segmentation

Dojofdd/DANet-Fracture-Segmentation

140

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Zero Shot Image Classification

TencentARC/QA-CLIP-ViT-L-14

140

transformers

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Image Feature Extraction

UCSC-VLAA/openvision-vit-large-patch14-224

140

open_clip

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Text To Video

ZuluVision/MoviiGen1.1

140

104

diffusers

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Audio Classification

DJMOON/my_awesome_mind_model

140

transformers

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Audio Classification

Simma7/audio_model

140

transformers

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Zero Shot Image Classification

Leonardo6/clip-imagenet-finetuned

140

transformers

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Image To Text

RepublicOfKorokke/GLM-OCR-oQ8-fp16

140

mlx

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Text To Video

nvidia/AnyFlow-Wan2.1-T2V-14B-Diffusers

140

diffusers

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Image Segmentation

facebook/mask2former-swin-base-IN21k-cityscapes-panoptic

140

transformers

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Jun 22, 2026200+ model pages and new retrieval deep-divesExpanded the model catalog with enriched pages (architecture, benchmarks, Mixpeek SDK examples, and pipeline pairings) across embedding, vision-language, video, audio, OCR, and reranking models — plus new vendor-neutral guides on Matryoshka embeddings, reasoning rerankers, and retrieval feedback loops.