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Resnet50 Clip.cc12m
R
Resnet50 Clip.cc12m
Developed by timm
基于CC12M数据集训练的ResNet50架构CLIP模型，支持零样本图像分类任务
Downloads 233
Release Time : 10/23/2024
Model Overview
该模型是兼容open_clip和timm框架的双用途视觉语言模型，采用ResNet50架构和快速GELU激活函数，适用于零样本图像分类任务
Model Features
双框架兼容
同时支持open_clip和timm框架，提供更灵活的使用方式
快速GELU激活
采用quickgelu激活函数，可能提升模型训练和推理效率
零样本学习
支持零样本图像分类，无需针对特定任务进行微调
Model Capabilities
零样本图像分类
图像特征提取
跨模态理解
Use Cases
计算机视觉
图像分类
对未见过的图像类别进行分类
视觉搜索
基于文本描述检索相关图像
多模态应用
图文匹配
评估图像与文本描述的匹配程度
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