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Distilbert Base Uncased Finetuned Squad
This model is a fine-tuned version of the distilbert-base-uncased model on the SQuAD dataset, primarily used for question answering tasks.
Downloads 15
Release Time : 3/2/2022
Model Overview
This is a fine-tuned DistilBERT model specifically designed for question answering systems, capable of understanding questions and extracting answers from given text.
Model Features
Efficient Question Answering
Fine-tuned on the SQuAD dataset, it can efficiently extract answers from text.
Lightweight Model
Based on the DistilBERT architecture, it is more lightweight than the original BERT model, with faster inference speed.
Model Capabilities
Text Understanding
Question Answering
Use Cases
Education
Automated Answering System
Used in educational fields for automated answering systems, helping students quickly obtain answers.
Customer Service
Intelligent Customer Service
Used in customer service systems to automatically answer user questions.
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