B

Bart Large Cnn

Developed by Xenova
A large-scale text summarization model based on the BART architecture, optimized for the CNN/DailyMail dataset
Downloads 173
Release Time : 5/2/2023

Model Overview

This model is a sequence-to-sequence model based on the BART architecture, fine-tuned specifically for text summarization tasks, capable of generating high-quality news summaries.

Model Features

Efficient Summary Generation
Capable of quickly generating accurate and coherent news summaries
Large Context Handling
Can process long documents and extract key information
Web Adaptation
Provides ONNX weight versions for easy use in browser environments

Model Capabilities

Text Summarization
Long Document Processing
Key Information Extraction

Use Cases

News Media
News Summary Generation
Automatically generate concise summaries of news articles
Produces fluent and accurate summaries, retaining key information
Content Analysis
Document Key Information Extraction
Extract core content from long documents
Effectively identifies and summarizes the main points of documents
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