Zero Shot Image Classification

Visual feature extraction model utilizing CLIP architecture.

Optimized model for visual tasks based on advanced architectures.

Capable of generating captions based on image and text inputs.

Biomedical multimodal model designed for text and image data.

Visual model designed to encode images and texts together.

Combines vision and language understanding, enhancing multimodal applications.

Combines vision and language understanding for advanced multimodal tasks.

Explores fashion-oriented tasks with advanced language understanding.

A model combining vision and language processing.

Integrates vision and language capabilities for enhanced understanding.

Integrates extended training for improved multilayer understanding.

CLIP model fine-tuned for image-text understanding.

Combines vision and language capabilities for image and text understanding.

Tiny version of the CLIP model for image-text pairing tasks.

CLIP model optimized for image-text understanding across domains.

Larger CLIP model variant designed for high accuracy.

Large CLIP model variant optimized for Korean language understanding.

CLIP model optimized for image and text understanding in Chinese.

Large CLIP model focused on Chinese context understanding.

A large CLIP model variant optimized for high-resolution outputs.

Huge CLIP model designed for deep Chinese language and imagery tasks.

A model focused on classical and modern literature interactions.

A model combining CLIP functionalities for visual-textual tasks.