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Vilt Finetuned 100
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Vilt Finetuned 100

Developed by bangbrecho
A vision-language model fine-tuned on VQA datasets based on the ViLT-B32-MLM model
Text-to-Image
Transformers
Open Source License:Apache-2.0#Visual Question Answering Fine-tuning#Multimodal Understanding#Image-Text Alignment
Downloads 15
Release Time : 5/7/2025

Model Overview

This model is a vision-language model based on the ViLT architecture, fine-tuned on VQA (Visual Question Answering) datasets, capable of understanding image content and answering related questions.

Model Features

Multimodal Understanding
Capable of processing both visual and textual information to understand image content and answer related questions
Transformer-based Architecture
Utilizes advanced Transformer architecture to effectively capture relationships between visual and language features
Fine-tuning Optimization
Specially fine-tuned on VQA datasets to enhance performance in visual question answering tasks

Model Capabilities

Image Content Understanding
Visual Question Answering
Multimodal Feature Extraction

Use Cases

Smart Assistants
Image Content Q&A
Answering natural language questions about image content
Educational Technology
Visual Learning Aid
Helping students understand image content in educational materials
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