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Distilbert Base Uncased Finetuned Squad

Developed by haddadalwi
A question-answering model fine-tuned on the squad_v2 dataset based on the distilbert-base-uncased model
Downloads 17
Release Time : 7/3/2022

Model Overview

This model is a fine-tuned version of DistilBERT, specifically designed for question-answering tasks and optimized on the SQuAD v2 dataset.

Model Features

Efficient Question Answering
Optimized for question-answering tasks, capable of efficiently handling text-based question answering.
Lightweight Model
Based on the DistilBERT architecture, it is more lightweight compared to the original BERT model while maintaining good performance.

Model Capabilities

Text Understanding
Question Answering
Context Analysis

Use Cases

Education
Automated Answering System
Used to build automated answering systems in the education field, helping students quickly obtain answers to questions.
Customer Service
Intelligent Customer Service
Can be used to build intelligent customer service systems to automatically answer common customer questions.
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