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Gpt2 Question Answering Squad2
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Gpt2 Question Answering Squad2
Developed by danyaljj
A question-answering model based on the GPT-2 architecture, fine-tuned specifically for the SQuAD2 dataset, capable of answering questions based on given text.
Downloads 16
Release Time : 3/2/2022
Model Overview
This model is a GPT-2-based question-answering model fine-tuned on the SQuAD2 dataset, excelling at extracting answers from provided text. Suitable for applications like question-answering systems and educational assistance.
Model Features
GPT-2 Architecture
Leverages GPT-2's powerful text understanding and generation capabilities, making it suitable for question-answering tasks.
SQuAD2 Fine-tuning
Fine-tuned specifically for the SQuAD2 question-answering dataset, improving answer accuracy.
Context Understanding
Capable of understanding the context of given text and extracting accurate answers.
Model Capabilities
Text Understanding
Question Answering Generation
Context Extraction
Use Cases
Education
Reading Comprehension Assistance
Helps students understand article content and answer related questions.
Improves students' reading comprehension skills
Customer Service
FAQ Auto-Response
Automatically answers user questions based on provided FAQ documents.
Reduces manual customer service workload
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