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Autotrain Stripped Data Training Biobart 90151144184
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Autotrain Stripped Data Training Biobart 90151144184
Developed by gpadam
This is an abstract generation model trained via the AutoTrain platform, based on the BioBART architecture, suitable for text summarization tasks.
Downloads 27
Release Time : 9/19/2023
Model Overview
This model is specifically designed for automatic text summarization, capable of extracting key information from input texts and generating concise summaries.
Model Features
Automatic Summarization
Capable of automatically extracting key information from input texts and generating concise summaries.
Efficient Training
Trained via the AutoTrain platform, the training process is efficient with low carbon emissions.
Performance Optimization
Performs well on Rouge metrics, capable of generating high-quality summaries.
Model Capabilities
Text Summarization
Key Information Extraction
Use Cases
Text Processing
News Summarization
Automatically generates brief summaries of news articles to help users quickly grasp the main content.
The generated summaries exhibit high information density and readability.
Research Report Summarization
Extracts key findings and conclusions from lengthy research reports to generate concise summaries.
Accurately captures the core content of research reports.
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