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Distilbart Cnn 12 6
DistilBART-CNN-12-6 is a distilled version of the BART model, optimized for text summarization tasks, with a smaller size while maintaining high performance.
Downloads 218
Release Time : 9/5/2023
Model Overview
This model is a lightweight text summarization model based on the BART architecture, compressed using knowledge distillation techniques, suitable for generating concise and accurate text summaries.
Model Features
Lightweight and Efficient
Reduces model size through knowledge distillation while maintaining performance close to the original model.
ONNX Compatible
Provides ONNX format weights for easy deployment on web platforms using Transformers.js.
Summarization Quality
Performs well on the CNN/Daily Mail dataset, capable of generating coherent and accurate summaries.
Model Capabilities
Text summarization generation
Long text compression
Key information extraction
Use Cases
News Media
News Summarization Generation
Automatically generates concise summaries of news articles.
Helps readers quickly grasp the main points of the article.
Content Analysis
Document Key Information Extraction
Extracts core content from long documents.
Improves document processing efficiency.
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