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Bart Large CNN Onnx
BART Large CNN is a pre-trained model based on the BART architecture, specifically designed for text summarization tasks.
Downloads 13
Release Time : 12/2/2024
Model Overview
This model is based on the BART architecture and optimized for generating text summaries, capable of processing long texts and producing concise summaries.
Model Features
Efficient Text Summarization
Capable of quickly generating high-quality text summaries, suitable for long text processing.
Based on BART Architecture
Combines the advantages of bidirectional and auto-regressive Transformers, making it suitable for generation tasks.
Pre-trained Model
Pre-trained on large-scale datasets, ready for direct use in downstream tasks or fine-tuning.
Model Capabilities
Text Summarization
Long Text Processing
Generating Concise Summaries
Use Cases
News Summarization
Automatic News Summarization
Automatically generates concise summaries of lengthy news articles for quick browsing.
The generated summaries are accurate and concise, retaining key information.
Academic Paper Summarization
Paper Summarization
Automatically generates summaries of academic papers to help researchers quickly grasp the content.
The summaries accurately reflect the core viewpoints of the papers.
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