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 5809–5832 of 13,634 models

Sentence Similarity

thenlper/gte-small-zh

sentence-transformers

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Text To Speech

mlx-community/Qwen3-TTS-12Hz-0.6B-CustomVoice-8bit

mlx-audio

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Image Classification

timm/tf_efficientnetv2_xl.in21k_ft_in1k

timm

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Any To Any

coolthor/gemma-4-12B-it-NVFP4A16

transformers

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Image To Image

timdrnl/FLUX.2-klein-9B-SNOFS

diffusers

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Document Question Answering

fxmarty/tiny-doc-qa-vision-encoder-decoder

transformers

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Image Classification

Hemgg/Facemask-detection

transformers

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Image Segmentation

openmmlab/upernet-swin-base

transformers

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Text To Audio

ACE-Step/acestep-v15-xl-turbo-diffusers

diffusers

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Sentence Similarity

oshizo/sbert-jsnli-luke-japanese-base-lite

sentence-transformers

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Text To Speech

kjanh/KhanhTTS-OmniVoice

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Feature Extraction

Edue3r4t5y6/bge-m3-MUIA

transformers

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Sentence Similarity

lightonai/Agent-ModernColBERT

PyLate

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Feature Extraction

relik-ie/relik-reader-deberta-v3-large-re-wikipedia

transformers

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Sentence Similarity

GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1

sentence-transformers

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Image Classification

timm/coatnet_1_rw_224.sw_in1k

timm

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Image Classification

timm/mambaout_femto.in1k

timm

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Image Classification

nikkopg/102623_mobilenet_v2_1.0_224-finetuned-stucktip

transformers

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Image Classification

timm/efficientformer_l1.snap_dist_in1k

timm

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Translation

Helsinki-NLP/opus-mt-tc-big-en-zle

transformers

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Image Segmentation

stevenbucaille/rf-detr-seg-medium

transformers

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Translation

Helsinki-NLP/opus-mt-no-de

transformers

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Image To Image

Shar514/Flux-Uncensored-V2

diffusers

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Translation

Helsinki-NLP/opus-mt-gem-gem

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.