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MLQ Distilbart Bbc
M
MLQ Distilbart Bbc
Developed by DeepNLP-22-23
This model is a text summarization model fine-tuned on the BBC News Summary dataset based on sshleifer/distilbart-cnn-12-6, developed by the Deep Natural Language Processing Course Lab at Politecnico di Torino.
Downloads 20
Release Time : 11/24/2022
Model Overview
This is a model specifically designed for summarizing BBC news texts, capable of generating concise summaries of news content.
Model Features
Efficient Summarization
Based on the DistilBART architecture, it reduces model size while maintaining performance.
BBC News Optimization
Fine-tuned specifically for BBC news content, making it suitable for news summarization tasks.
Lightweight
Fewer parameters compared to the original BART model, resulting in faster inference speed.
Model Capabilities
News Text Summarization
English Text Processing
Generating Concise Content
Use Cases
News Media
News Summary Generation
Automatically generates concise summaries for BBC news articles
ROUGE-2 score of 61.43
Content Aggregation
News Digest Creation
Automatically generates summary content for daily news digests
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