CLIP Implementation

CLIP for Captions is a powerful computer vision and natural language understanding model that bridges the gap between images and text. It enables the generation of descriptive captions for images by understanding the visual content and its relationship to language. With CLIP, you can effortlessly create meaningful and contextually relevant image captions, making it a valuable tool for various applications like image indexing, content discovery, and more. This GitHub repository provides an implementation of CLIP for captioning tasks, allowing you to leverage this cutting-edge technology in your projects.