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HuBERT XL AntiDeepfake
Bit-exact copy of nii-yamagishilab/hubert-xlarge-anti-deepfake (the AntiDeepfake collection, nii-yamagishilab), hosted for the Speech Anti-Spoofing Arena. Trained with RawBoost data augmentation (default).
Vit Base Patch16 224 In21k Finetuned LoRA Food101
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Audio Cls1
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.9874 Accuracy: 0.8655
Babelbit Sn59 Miner
Hibiki-Zero is a model for simultaneous speech translation. Traditional approaches for building simultaneous translation systems rely on supervised training with word-level aligned data between the source and the...
Deepfake Audio Detector
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
OmniASR Fine Tuning 6languageKenya
This repository contains the single acoustic runtime used for the public Kaggle submission scoring 0.36878 macro-WER on the Afri Voices East Africa ASR Hackathon public leaderboard. That score belongs to the complete...
Htdemucs 6s Onnx
The first ONNX export of the 6-stem htdemucs6s variant on the Hugging Face Hub. Adds guitar and piano stems on top of the standard 4 (drums / bass / other / vocals). Runs in onnxruntime on CPU out of the box, and on...
Chatterbox Multilingual MLX v2 Q4
This model was converted to MLX format from ResembleAI/chatterbox using mlx-audio version 0.2.10.
JinKO
JinKO — Sharp Anime • Clean Lines • Balanced Color
SD Class Butterflies 32
pipeline = DDPMPipeline.frompretrained(f'chendengyi/sd-class-butterflies-32') image = pipeline().images(0) image.show()
FlowUpscaler
Flow Upscaler is a fast latent upscaler model that works in the Flux.2 latent space.
Historical Map City Block Vectorization
EfficientNet-B4 UNet + SCSE attention checkpoints from the 5-fold cross-validation ensemble used for the Research Topics in Cartography (RTCart) 2026 Task 2 competition. Together they constitute the model that scored...
Ddpm Celebahq Finetuned Butterflies 2epochs
pipeline = DDPMPipeline.frompretrained('levelife/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
Vie BLIP
Vie-BLIP is a Vietnamese image captioning model fine-tuned from Salesforce/blip-image-captioning-base. The model takes an image as input and generates a Vietnamese natural-language caption describing the image content.
Pictory ControlNet Upsample Edge Prompt Lr5e 6 Ep5
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
Ddpm Celebahq Finetuned Butterflies 2epochs
pipeline = DDPMPipeline.frompretrained('DapaoZeng/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
Owlv2 Large Patch14 Ensemble
The OWLv2 model (short for Open-World Localization) was proposed in Scaling Open-Vocabulary Object Detection by Matthias Minderer, Alexey Gritsenko, Neil Houlsby. OWLv2, like OWL-ViT, is a zero-shot text-conditioned...
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: 0.5782 Accuracy: 0.83
ControlNet Fill Circle v1
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below. prompt: cyan circle with brown floral background
TreeVGR 7B CI I1 GGUF
For a convenient overview and download list, visit our model page for this model.
