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Blip Gqa Ft
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Blip Gqa Ft

Developed by phucd
A fine-tuned vision-language model based on Salesforce/blip2-opt-2.7b for visual question answering tasks
Text-to-Image
Transformers
Open Source License:MIT#Visual Question Answering Fine-tuning#Multimodal Understanding#BLIP2 Architecture
Downloads 29
Release Time : 4/20/2025

Model Overview

This model is a fine-tuned version of the BLIP-2 architecture, specializing in visual question answering tasks, capable of understanding image content and answering related questions

Model Features

Vision-Language Understanding
Capable of processing both image and text inputs, understanding image content and generating relevant responses
Efficient Fine-tuning
Fine-tuned based on pre-trained models for superior performance on specific tasks
Multimodal Capability
Combines visual and language modalities to achieve cross-modal understanding and generation

Model Capabilities

Image Understanding
Visual Question Answering
Image Caption Generation
Cross-modal Reasoning

Use Cases

Intelligent Customer Service
Product Image Q&A
Users upload product images, and the system answers various questions about the products
Improves customer service efficiency and reduces manual intervention
Educational Assistance
Textbook Image Understanding
Helps students understand charts and illustrations in textbooks
Enhances learning efficiency and comprehension depth
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