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bart-large-cnn-finetuned-news-summarizer
devesh1011/bart-large-cnn-finetuned-news-summarizer
bart-large-cnn-finetuned-news-summarizer is a machine learning model from devesh1011. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
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-q…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Dec 7, 2024
- Updated
- Dec 11, 2024
- SHA
- f7fd04f1
Base models
Model card
From the Hugging Face model README
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
- Repository: https://github.com/devesh1011/ai-news-summarizer
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
- Library
- peft
- Created
- Dec 7, 2024
- Updated
- Dec 11, 2024