AI Model Hub

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

13,634 models available

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Showing 7945–7968 of 13,634 models

Video Classification

MCG-NJU/videomae-base-short

490

transformers

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Image Segmentation

facebook/mask2former-swin-large-cityscapes-panoptic

490

transformers

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Reinforcement Learning

mradermacher/LongTraceRL-30B-i1-GGUF

490

transformers

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Depth Estimation

facebook/sapiens2-pointmap-0.4b

490

sapiens2

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Object Detection

PekingU/rtdetr_r34vd

489

transformers

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Any To Any

cyankiwi/Qwen3-Omni-30B-A3B-Thinking-AWQ-8bit

489

transformers

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Text To Video

botp/Sulphur-2-base

489

diffusers

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Object Detection

koppolusameer/rfdetr-basketball-player-ball-referee-detection

489

transformers

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Text To Video

Muapi/ltx2.3-alien-tentacle-nsfw-v1.0

487

diffusers

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Question Answering

Jacaranda/AfroLlama_V1

487

transformers

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Object Detection

vector-institute/pmc-18m-dab-detr

487

transformers

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Reinforcement Learning

mradermacher/SpatialThinker-3B-GGUF

487

transformers

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Object Detection

stevenbucaille/rf-detr-large

486

transformers

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Object Detection

qualcomm/MediaPipe-Face-Detection

485

pytorch

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Zero Shot Classification

cointegrated/rubert-tiny-bilingual-nli

485

transformers

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Robotics

jcoholich/your_repo_id

485

lerobot

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Any To Any

angalous/gemma-4-E2B-it-IQ3_M-GGUF

485

transformers

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Object Detection

dopaul/chess-piece-detector

485

ultralytics

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Object Detection

honi05/chess-piece-yolo

485

ultralytics

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Image Feature Extraction

ARTPARK-IISc/Vaani-LID_v0

485

transformers

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Audio To Audio

aufklarer/PersonaPlex-7B-MLX-8bit

483

mlx

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Reinforcement Learning

micahr234/mouse-example-model

483

mouse-core

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Text To Audio

espnet/fastspeech2_conformer_with_hifigan

482

transformers

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Any To Any

MoonRide/gemma-4-E4B-it-heretic-ara-GGUF

482

transformers

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Full changelog

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.