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Distilbert Base Uncased Finetuned Squad

Developed by gokulkarthik
This model is a fine-tuned version of distilbert-base-uncased on the SQuAD question answering dataset, suitable for question answering tasks.
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Release Time : 3/2/2022

Model Overview

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

Model Features

Efficient and Lightweight
Based on the DistilBERT architecture, it is smaller and faster than the original BERT model while maintaining high performance.
Question Answering Optimization
Specially fine-tuned on the SQuAD question answering dataset, excelling at extracting answers from given texts.
English Specialization
Optimized for English question answering tasks.

Model Capabilities

Text Understanding
Answer Extraction
Contextual Question Answering

Use Cases

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