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Distilbert Base Uncased Finetuned Squad

Developed by sam999
This model is a question-answering model fine-tuned on the SQuAD dataset based on DistilBERT, designed for extractive question-answering tasks.
Downloads 15
Release Time : 5/8/2022

Model Overview

A lightweight version of DistilBERT, fine-tuned on the SQuAD question-answering dataset, used to extract answers from given text.

Model Features

Lightweight Model
Based on the DistilBERT architecture, it is smaller and faster than the original BERT model while maintaining high performance.
Optimized for Q&A Tasks
Specifically fine-tuned for the SQuAD question-answering dataset, excelling at extracting answers from text.

Model Capabilities

Text Understanding
Answer Extraction
Context Analysis

Use Cases

Education
Automated Answering System
Helps students quickly find answers to questions from textbooks
Customer Service
FAQ Auto-Response
Extracts answers from knowledge base documents
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