Model Card for News Article Summarizer
Model Details
Model Description
This is a fine-tuned text summarization model based on facebook/bart-large-cnn, optimized using LoRA (Low-Rank Adaptation) on a custom dataset of global news articles. The model is designed to generate concise, high-quality summaries from long-form news content.
- Developed by: [Devesh]
- Model type: Text Summarization
- Language(s) (NLP): English
- License: [Specify license, e.g., Apache 2.0]
- Finetuned from model: facebook/bart-large-cnn
Model Sources
Uses
Direct Use
The model is suitable for summarizing news articles, reports, and other long-form textual content into concise summaries for applications like:
- News aggregation platforms
- Content summarization for journalism
- Automated report generation
