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Bigbird Roberta Natural Questions
A question-answering model based on the BigBird architecture, specifically optimized and trained for the Natural Questions dataset
Downloads 41
Release Time : 3/2/2022
Model Overview
This model is a question-answering system based on the BigBird architecture, specially trained on the Natural Questions dataset. It can handle QA tasks and supports various answer types including null, long answers, short answers, and more.
Model Features
Efficient Long Sequence Processing
Based on the BigBird architecture, it can effectively handle long sequence inputs, making it suitable for QA tasks.
Multi-Type Answer Support
Can predict various answer types including null, long answers, short answers, yes/no, and more.
Pre-trained Model Integration
Integrated into the HuggingFace Transformers library for easy usage.
Model Capabilities
Question Answering System
Text Understanding
Long Text Processing
Use Cases
Question Answering System
Natural Question Answering
Answering questions posed in natural language
Achieves a 47.44 exact match rate on the Natural Questions dataset.
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