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Electra Contrastdata Squad

Developed by mlxen
This model is a fine-tuned version of the ELECTRA-small discriminator based on the SQuAD dataset, suitable for question-answering tasks.
Downloads 19
Release Time : 11/28/2022

Model Overview

This is a question-answering model based on the ELECTRA-small architecture, fine-tuned on the SQuAD dataset, and can be used for tasks such as reading comprehension.

Model Features

Based on ELECTRA Architecture
Uses the ELECTRA-small discriminator architecture with an efficient pre-training method.
SQuAD Fine-tuning
Fine-tuned on the SQuAD question-answering dataset, suitable for reading comprehension tasks.
Lightweight Model
Based on the small version of ELECTRA, with lower computational resource requirements.

Model Capabilities

Question Answering System
Reading Comprehension
Text Understanding

Use Cases

Education
Automatic Question Answering System
Used to build automatic question-answering systems in the education field.
Information Retrieval
Document Understanding
Helps users quickly extract answers from documents.
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