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Distilbert Base Uncased Finetuned Squad

Developed by sasuke
This model is a fine-tuned version of distilbert-base-uncased on the SQuAD question answering dataset, suitable for QA tasks.
Downloads 16
Release Time : 6/18/2022

Model Overview

This is a fine-tuned question answering model based on the DistilBERT architecture, specifically designed for extracting answers from given text.

Model Features

Efficient and Lightweight
Based on the DistilBERT architecture, it is smaller and faster than the full BERT model while maintaining good performance.
QA Optimized
Specifically fine-tuned on the SQuAD QA dataset, excelling at extracting precise answers from text.

Model Capabilities

Text Understanding
Answer Extraction
Contextual Question Answering

Use Cases

Customer Service
Automated QA System
Used to build automated customer service systems that answer user questions
Education
Learning Assistant Tool
Helps students quickly find answers to questions from textbooks
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