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A Token-level Text Image Foundation Model for Document Understanding
DINOv3-food is a food image recognition model fine-tuned from facebook/dinov3-vitl16-pretrain-lvd1689m on TSOTSA-Img, a merged food image dataset built from AFD, FruitVeg-81, Food-101, and UECFood256.
In Japan, Onsen are hot springs and the bathing facilities and traditional inns around them. Onsen may be either outdoor baths (Roten-Buro / Noten-Buro) or indoor baths (Uchiyu). The traditional white, lightweight,...
This model is a fine-tuned version of ntu-spml/distilhubert on the Chest Voice and Falsetto Dataset dataset. It achieves the following results on the evaluation set: Loss: 0.4966 Accuracy: 0.9066
> ⚠️ Non-commercial use only. This model is licensed CC BY-NC 4.0, > inherited from the original Meta AI checkpoint. Unlike most other onnx-asr > conversions in this collection (Apache-2.0 / CC0 / CC-BY), this model...
another i2i adetailer and reactor merger. used DENwinniepuppiwi and DENdaniellesharp for the look
This repository contains one safetensors artifact from the Daniel Media Studio archive. It is separated so the file, provenance, license status, and usage notes remain reviewable on one page.
Fine-tuned google/vit-base-patch16-224 для классификации изображений на три класса: cat, dog, panda.
Join The Tinkerer on Whop. Membership gets you early releases, private tools and a bunch of extra stuff.
Check out @mnemic 's article about captioning differences for Flux.
