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Sandglasset 2spk Polyvox
This repository contains the fine-tuned 2-speaker Sandglasset speech separation checkpoint used in the PolyVOX Samsung EnnovateX hackathon pipeline for real-time multi-user smart assistant command understanding in...
Siglip2 So400m Patch16 512 Guj 32768
This model is a 22.63% smaller version of google/siglip2-so400m-patch16-512 optimized for Gujarati language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to the...
Qwen3 Asr 1.7b Mizonal3 E2 Lus v2026.06
> Disclaimer / Notice: Details for these are in Peer Review and publications of the paper will be made available soon for more details.
Siglip2 Large Patch16 512 Bak 32768
This model is a 25.91% smaller version of google/siglip2-large-patch16-512 optimized for Bashkir language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to the...
Ddpm Celebahq Finetuned Butterflies 4epochs Ng
Used a small butterfly dataset to finetune the ddpm-celebahq-256, originally trained on celebrity photos: As expected, the resulets are not great did not move further to finetune yet
REAL TSE BSRNN CoreML
Native Core ML conversion of the REAL-TSE Challenge spkemb100 baseline. It extracts an enrolled target speaker from overlapping 16 kHz speech while preserving the original audio timeline.
FlashSR
FlashSR is a 2MB audio super-resolution model based on the HierSpeech++'s upsampler architecture. It upscales 16kHz audio to 48kHz at speeds ranging from 200x to 400x real-time.
RegNet X 3 2GF.tv2 In1k
This repository provides a model compiled and optimized for Mobilint NPU hardware. The model is packaged for deployment on Mobilint’s acceleration stack and is intended to be used within that environment.
ControlNet Uncanny Simpsons v2 0
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following.
Ddpm Celebahq Finetuned Butterflies 2epochs
pipeline = DDPMPipeline.frompretrained('itislulu/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
EBEN Temple Vibration Pickup
Developed by: Cnam-LMSSC Model: EBEN(M=4,P=1,Q=4) (see publication in IEEE TASLP - arXiv link) Language: French License: MIT Training dataset: speechclean subset of Cnam-LMSSC/vibravox (see VibraVox paper on arXiV)...
Audio Fake Detector
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
ControlNet Depth SDXL 1.0
from diffusers import ControlNetModel, StableDiffusionXLControlNetPipeline, AutoencoderKL from diffusers import DDIMScheduler, EulerAncestralDiscreteScheduler from PIL import Image import torch import random import...
Qwen35 9b P2s LoRA
Developed by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Model type: [More Information Needed] Language(s) (NLP): [More Information...
Sorjin1 7B
Sorjîn1-7B is a Kurdish Kurmanji language model produced by continually pretraining Qwen/Qwen2.5-7B on academic theses written in Kurdish Kurmanji.
Solar Panel Od
YOLOv11-based object detection model for solar panel surface anomaly detection. Identifies 6 defect categories in RGB images. Trained on a custom labeled dataset using both RGB and thermal modalities; this repo...
ViLT 12M Vqa
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Nos TTS Brais Vits Graphemes
Brais is a Galician TTS model developed by the Nós project. It was trained from scratch using the Coqui TTS Python library on the corpus NosBrais-GL. This corpus comprises a total of 16,121 sentences recorded by a...
De Swarm 3b Sql Hc v1.1
Developed by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Model type: [More Information Needed] Language(s) (NLP): [More Information...
NetaYume Lumina Image 2.0 DF11
For more information (including how to compress models yourself), check out and
