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Vilt Finetuned 200
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Vilt Finetuned 200

Developed by Atul8827
Vision-language model based on ViLT architecture, fine-tuned for specific tasks
Text-to-Image
Transformers
Open Source License:Apache-2.0#Vision-Language Pretraining#Multimodal Understanding#Zero-shot Learning
Downloads 35
Release Time : 12/1/2023

Model Overview

This model is a vision-language model based on the ViLT architecture, fine-tuned for handling vision-language tasks. Although evaluation metrics indicate suboptimal performance, it may be optimized for specific scenarios.

Model Features

Joint Vision-Language Modeling
Capable of processing both image and text inputs to understand the relationship between them
Transformer-based Architecture
Utilizes advanced Transformer architecture for feature extraction and representation learning
Lightweight Design
The B32 version suggests a lightweight model balancing performance and efficiency

Model Capabilities

Image-text matching
Visual Question Answering
Image-text relation understanding
Multimodal feature extraction

Use Cases

Content Understanding
Social Media Content Analysis
Analyze image-text content and their relationships in social media
E-commerce
Product Image-Text Matching
Verify consistency between product images and descriptive texts
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