Eva02 Base Patch16 Clip 224.merged2b
The EVA CLIP model is a vision-language model built on the OpenCLIP and timm frameworks, supporting tasks like zero-shot image classification.
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Release Time : 12/26/2024
Model Overview
This model combines the EVA architecture and CLIP framework, enabling the understanding of relationships between images and text, suitable for multimodal tasks.
Model Features
Zero-shot learning
Performs image classification tasks without task-specific fine-tuning.
Multimodal understanding
Capable of processing and understanding both image and text information simultaneously.
Efficient architecture
Combines EVA02 and CLIP frameworks to balance performance and efficiency.
Model Capabilities
Zero-shot image classification
Image-text matching
Multimodal feature extraction
Use Cases
Computer vision
Image classification
Classify unseen image categories
Performs well on multiple benchmark datasets
Image retrieval
Retrieve relevant images based on text descriptions
Content moderation
Inappropriate content detection
Identify potentially inappropriate content in images
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