# CLIP architecture

The EVA CLIP model is a vision-language model based on OpenCLIP and the timm framework, supporting zero-shot image classification tasks.

EVA-CLIP is a large-scale vision-language model based on the CLIP architecture, supporting tasks such as zero-shot image classification.

EVA-CLIP is a vision-language model based on the CLIP architecture, supporting zero-shot image classification tasks.

The EVA CLIP model is a vision-language model built on the OpenCLIP and timm frameworks, supporting tasks like zero-shot image classification.

Zero-shot image classification model based on ResNet50 architecture and CLIP technology

MobileCLIP S0 is an ONNX adaptation of Apple's ml-mobileclip project, a zero-shot image classification model optimized for mobile devices.

A small CLIP model based on ViT architecture, suitable for zero-shot image classification tasks, trained on the LAION-400M dataset.

A vision-language model based on the OpenCLIP library, supporting zero-shot image classification tasks.

CLIP model based on ViT architecture for zero-shot image classification tasks

A vision-language pretrained model based on the CLIP architecture, supporting zero-shot image classification and cross-modal retrieval tasks