Phi-2-super (SFT + cDPO) Base Model: microsoft/phi-2 How to run inference: import transformers impo
360pytorchconvAI
StarCoder2 Table of Contents Model Summary Use Limitations Training License Citation Model
260
DynamiCrafter (320x512) (text-)Image-to-Video/Image Animation Model Card DynamiCrafter (320x512) (
330pytorch
DynamiCrafter (576x1024) (text-)Image-to-Video/Image Animation Model Card DynamiCrafter (576x1024
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DynamiCrafter (256x256) (text-)Image-to-Video/Image Animation Model Card DynamiCrafter (256x256) (
490pytorch
StarCoder2 Table of Contents Model Summary Use Limitations Training License Citation Model
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SDXL-controlnet: Zoe-Depth These are ControlNet weights trained on stabilityai/stable-diffusion-xl-b
440pytorchstable-diffusion-xl
SDXL-controlnet: Depth These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-
270pytorchstable-diffusion-xl
SDXL-controlnet: Depth These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-
300pytorchstable-diffusion-xl
Small SDXL-controlnet: Canny These are small controlnet weights trained on stabilityai/stable-diffus
380pytorchstable-diffusion-xl
Small SDXL-controlnet: Canny These are small controlnet weights trained on stabilityai/stable-diffus
250pytorchstable-diffusion-xl
SigLIP (shape-optimized model) SigLIP model pre-trained on WebLi at resolution 384x384. It was intro
230siglipvision
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains Abstrac
400pytorchmedical
Samples generated by AnimateLCM-SVD-xt Introduction Consistency Distilled Stable Video Diffusion Ima
460pytorch
Trained by Jina AI. Jina-ColBERT Jina-ColBERT is a ColBERT-style model but based on JinaBERT so it
410
A cutting-edge foundation for your very own LLM. ?Github • ? TigerBot • ? Hugging Face 快速开始
360
English  |   中文 Building the Next Generation of Open-Source and
360
English  |   中文 Building the Next Generation of Open-Source and
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RWKV 7B World 128k for novel writing We proudly announce this is the world first 128k context model
310
CAM++说话人识别模型 CAM++模型是基于密集连接时延神经网络的说话人识别模型。相比于一些主流的说话人识别模型,比如ResNet34和ECAPA-TDNN,CAM++具有更准确的说话人识别性能和更
550pytorchaudio
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