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Vit Gpt2 Image Captioning
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Vit Gpt2 Image Captioning

Developed by Xenova
An image captioning model based on ViT and GPT2 architectures, capable of converting input images into natural language descriptions.
Image-to-Text
Transformers
#Web-based Image Caption Generation#ONNX Format Adaptation#Vision-Language Multimodal
Downloads 2,163
Release Time : 5/2/2023

Model Overview

This model combines Vision Transformer (ViT) and GPT2 language model to automatically generate concise and accurate textual descriptions for input images. Suitable for applications requiring the integration of image understanding and text generation.

Model Features

Vision-Language Joint Modeling
Combines Vision Transformer and GPT2 language model for end-to-end image-to-text generation
ONNX Format Support
Provides ONNX weights adapted for Transformers.js, facilitating web-based deployment
Lightweight Deployment
Optimized model suitable for running in Web environments

Model Capabilities

Image Understanding
Natural Language Generation
Image-to-Text Conversion

Use Cases

Accessibility Technology
Image Alt Text Generation
Automatically generates textual descriptions of images for visually impaired users
Enhances visually impaired users' understanding of image content
Content Management
Automatic Image Tagging
Automatically generates descriptive tags for large volumes of images
Improves image retrieval and management efficiency
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