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ModelHugging Face

Vapor Water Meter Yolo26

Best checkpoint used by the Vapor meter-reading demo:

Other
Status
ListedB
ModelHugging Face

360LayoutAnalysis

在文档版式分析中,精细化的标注非常有必要,其中:段落的标注尤其关键,因为它直接影响到文本的语义理解和信息提取。当前,在版式分析领域,据我们了解,在论文场景中,以往的开源数据集如:CDLA(A Chinese document layout analysis),缺乏对段落信息的标注;在研报场景中的版式分析模型还相对空缺。

Other
Status
ListedC
ModelHugging Face

Warmly Qwen35 08b Enko GGUF

EN/KO 어휘 프루닝 마스터 neureps/Qwen3.5-0.8B-enko 기반. Warmly(온기) 앱의 소형 티어(저·중램 기기) 배포 모델이자 이미지 캡셔너를 담는다. 한 모델이 캡션(비전)과 댓글(텍스트)을 모두 낸다.

Otherneureps/Qwen3.5-0.8B-enko
Status
ListedB
ModelHugging Face

Sulphur ComfyUI Runpod Backup

This repo is a lightweight restore kit for the RunPod ComfyUI Sulphur/LTX setup. It intentionally does not include giant model weights. The restore script downloads them from Hugging Face and recreates symlinks.

LoRALTX-Video 2.3
Status
ListedC
ModelHugging Face

Flux2Klein9B

This repository provides a highly optimized, modular deployment ecosystem for the Flux.2 Klein 9B architecture. Structured specifically for advanced pipeline integration within ComfyUI, this repository contains...

Otherblack-forest-labs/FLUX.2-klein-9B
Status
ListedC
ModelHugging Face

Fine Tuned Efficient Sam

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

Other
Status
ListedC
ModelHugging Face

Vitpose Base Simple

with ONNX weights to be compatible with Transformers.js.

Othernielsr/vitpose-base-simple
Status
ListedB
ModelHugging Face

Multicrab Detector Yolo11s100

A YOLO11s object detection model fine-tuned to detect and classify multiple crab species in a single frame, including scenes with several individuals or overlapping crabs. Trained for 100 epochs. Base architecture:...

OtherUltralytics/YOLO11
Status
ListedC
ModelHugging Face

Blip Ipvqa Final

This model is a fine-tuned version of Salesforce/blip-vqa-base trained on the Agri-VQA Plus (IPVQA) dataset.

Text modelSalesforce/blip-vqa-base
Status
ListedB
ModelHugging Face

Navoiy Tts

Lison Navoiy TTS is Aisha's public Uzbek expressive text-to-speech model artifact built on CosyVoice2.

OtherFunAudioLLM/CosyVoice2-0.5B
Status
ListedB
ModelHugging Face

Kyutai Stt 2.6b En GGUF

GGUF conversion of kyutai/stt-2.6b-en for the CrispASR kyutai-stt backend.

Otherkyutai/stt-2.6b-en
Status
ListedB
ModelHugging Face

Hubert Finetuned Expresso

This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.2814 Accuracy: 0.9297

Otherfacebook/hubert-base-ls960
Status
ListedB
ModelHugging Face

Scalesurfer v8

This repository contains the ScaleSurfer 3D TransUNet volume segmentation checkpoint fine-tuned for FreeSurfer v8 labels.

Other
Status
ListedB
ModelHugging Face

VideoMAE Kinetics Wlasl2000 CoR 20ep

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 2.4903 Accuracy: 0.4454

OtherMCG-NJU/videomae-base-finetuned-kinetics
Status
ListedB
ModelHugging Face

World Initializer Image To Panorama

GenEx World Initializer is panorama generation pipeline built on top of the FluxFillPipeline.

Modelsblack-forest-labs/FLUX.1-Fill-dev
Status
ListedB
ModelHugging Face

ControlNet

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.

ControlNetstabilityai/stable-diffusion-xl-base-1.0
Status
ListedB
ModelHugging Face

VideoMAE BdSLW60 FrameRate Corrected With Augment 20 Epoch

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on BdSLW60 dataset. It achieves the following results on the evaluation set (Val): Loss: 0.0299 Accuracy: 0.9965 Precision: 0.9967...

OtherMCG-NJU/videomae-base-finetuned-kinetics
Status
ListedB
ModelHugging Face

Pictory ControlNet Crayon R8 Edge Lr1e 4 Ep20

This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.

ControlNet
Status
ListedB
ModelHugging Face

Unlearn Ucf101 Videomae Base Random Label 8 42

This model is a fine-tuned version of MCG-NJU/videomae-base on the ucf101 dataset. It achieves the following results on the evaluation set: Loss: 0.8919 Accuracy: 0.8004 Test Accuracy: 0.8004 Df Accuracy: 0.9385...

OtherMCG-NJU/videomae-base
Status
ListedC
ModelHugging Face

SDXL Seg ControlNet

These are controlnet weights trained on SG161222/RealVisXLV4.0 with new type of conditioning. You can find some example images below.

ControlNetSG161222/RealVisXL_V4.0
Status
ListedB