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2xLexicaRRDBNet Sharp
Name: 2xLexicaRRDBNetSharp Author: Philip Hofmann Release Date: 01.06.2023 License: CC BY 4.0 Network: RRDBNet Scale: 2 Purpose: Upscaling AI generated images - a bit sharper then above model Iterations: 220'000...
TTA COCO DETR R50
Re-hosted verbatim from facebook/detr-resnet-50 (Apache-2.0) for reproducible test-time-adaptation evaluation in TTAKit. Pinned by tag v1.0. Load with transformers.AutoModelForObjectDetection.frompretrained.
Uncensored
This is an uncensored version of google/gemma-4-12B-it created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from...
ControlNet Dwpose SDXL 1.0
Here are the ControlNet weights trained on SDXL with DWPose conditioning.
Unlearn Ucf101 Videomae Base Neggrad 2 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: -10.3563 Accuracy: 0.0109 Test Accuracy: 0.0109 Df Accuracy: 0.0117...
Siglip2vision Small Patch16 Naflex
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Siglip2 Giant Opt Patch16 384 Por 32768
This model is a 13.74% smaller version of google/siglip2-giant-opt-patch16-384 optimized for Portuguese language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to...
ControlNet v1 1 FP16 Safetensors
Safetensors/FP16 versions of the new ControlNet-v1-1 checkpoints.
UAE
This repository contains the weights for Unified Autoencoding (UAE), introduced in the paper The Prism Hypothesis: Harmonizing Semantic and Pixel Representations via Unified Autoencoding.
Text Recognition Pipeline
CRNN-based text recognition model trained on ICDAR2003 for optical character recognition (OCR) tasks.
Hubert Finetuned SAVEE
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: 1.4798 Accuracy: 0.4167
Parakeet Primeline Onnx
sherpa-onnx-kompatibler ONNX-Export (int8-quantisiert) von primeline/parakeet-primeline, einem deutschen Fine-Tune von nvidia/parakeet-tdt-0.6b-v3 (FastConformer-TDT, 0.6B Parameter).
Distilhubert Finetuned Gtzan
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset. It achieves the following results on the evaluation set: Loss: 0.5659 Accuracy: 0.84
Skydata
U-2-Netp is a lightweight version of the U2Net model designed for efficient and effective image segmentation tasks, especially for generating masks. It retains the core architectural design of U2Net while being...
Ddpm Celebahq Finetuned Butterflies
pipeline = DDPMPipeline.frompretrained('pratik220704/ddpm-celebahq-finetuned-butterflies') image = pipeline().images[0] image
ControlNet Persian Text v1
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
XORTRON NXTXPRTXXL GGUF
For a convenient overview and download list, visit our model page for this model.
Wav2vec2 Ser
This model is a fine-tuned version of elgeish/wav2vec2-large-xlsr-53-arabic on an unknown dataset. It achieves the following results on the evaluation set: Loss: 1.1711 Accuracy: 0.5944 Macro F1: 0.5922 Uar: 0.5944
My ControlNet Model
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
W2v Bert 2.0 Khmer Customize Data Final
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
