Resource directory
Find what you need for your workflow.
Guides: techniques, setup, and troubleshootingSearch Sweet Tea Pipes, external workflows, models, node packs, and guides in one evidence-linked catalog.
Start with a workflow instead ↗Search results
All resources
20 shown of 41,716
CIFAR10 Custom Cnn
Model ini adalah arsitektur Convolutional Neural Network (CNN) kustom yang dilatih dari awal pada dataset CIFAR-10 untuk tugas klasifikasi gambar menjadi 10 kelas berbeda.
Qwen35b Espanol LoRA
Adapter LoRA r=64 (64MB) para Qwen/Qwen3.6-35B-A3B: fine-tune orientado a español neutro con sesgo chileno, eliminando el voseo/modismos rioplatenses que Qwen arrastra al hablar español.
Ddpm Celebahq Finetuned Butterflies 2epochs
pipeline = DDPMPipeline.frompretrained('jyj1007/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
Emoji VAE Init
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Music Splitter Mixit
Mixture-only (MixIT) music source separator — a torchaudio ConvTasNet trained with a hand-rolled generalized MixIT loss on full mixes (no stems). Outputs feed a downstream pitch analyzer; the bar is usable partial...
Glpn Nyu Finetuned Diode 230530 193901
This model is a fine-tuned version of vinvino02/glpn-nyu on the diode-subset dataset. It achieves the following results on the evaluation set: Loss: 1.5356 Mae: 3.1497 Rmse: 3.6237 Abs Rel: 6.0096 Log Mae: 0.6926 Log...
Siglip2 Giant Opt Patch16 384 Nld 32768
This model is a 13.74% smaller version of google/siglip2-giant-opt-patch16-384 optimized for Dutch language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to the...
Diamond S2s
Diamond restores degraded speech to near-studio quality. It takes low-quality input — codec artifacts, band-limited telephony audio, lossy compression — and reconstructs a clean 44.1 kHz waveform.
Pictory ControlNet Upsample Edge Lr5e 5 Ep20
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
Videomae Base Wlasl 2000 20ep CoR
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 7.7331 Accuracy: 0.0051
BEN2
BEN2 (Background Erase Network) introduces a novel approach to foreground segmentation through its innovative Confidence Guided Matting (CGM) pipeline. The architecture employs a refiner network that targets and...
Test Upload Model
This model is a fine-tuned version of MCG-NJU/videomae-base on the UCF Crime dataset with event-based binary classification. It achieves the following results on the evaluation set:
Vilt B32 Finetuned Vqa Willowmore
This model is a fine-tuned version of dandelin/vilt-b32-finetuned-vqa on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.2704
Siglip2 Giant Opt Patch16 384 Mya 32768
This model is a 13.74% smaller version of google/siglip2-giant-opt-patch16-384 optimized for Burmese language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to...
Medsiglip Modality Ft v8
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
IlluRealXL
v0.2 - A mix of my favorite realistic Illustrious models, built on the core foundation of CyberRealistic CyberIllustrious .
Videomae Base Finetuned Ucf101 Subset
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.4312 Accuracy: 0.8645
Head Mvimage Diffuser
This repository contains the model of the paper SOAP: Style-Omniscient Animatable Portraits.
Videomae Base Finetuned Ucf101 Subset
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.5028 Accuracy: 0.7857
Unlearn Ucf101 Videomae Large Bad Teaching 10 42
This model is a fine-tuned version of MCG-NJU/videomae-large on the ucf101 dataset. It achieves the following results on the evaluation set: Loss: 0.7369 Accuracy: 0.884 Test Accuracy: 0.884 Df Accuracy: 0.9510...
