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Bart Large Cnn
This is an ONNX-optimized version of the facebook/bart-large-cnn model, primarily used for text summarization tasks.
Downloads 15
Release Time : 9/30/2024
Model Overview
This model is a text summarization model based on the BART architecture, optimized with ONNX for improved inference efficiency.
Model Features
ONNX Optimization
The model has been converted and optimized in ONNX format to improve inference efficiency.
BART-based Architecture
Adopts the BART-large architecture, providing strong text understanding and generation capabilities.
Model Capabilities
Text Summarization
Text Generation
Use Cases
Content Summarization
News Summarization
Automatically generates concise summaries of news articles.
Produces fluent and accurate news summaries.
Document Summarization
Extracts and summarizes key information from long documents.
Effectively captures the core content of documents.
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