metadata
language: en
tags:
- summarization
- bart
- nlp
pipeline_tag: summarization
model_name: Automated-Text-Summarizer
Automated Text Summarizer
This model is a fine-tuned version of BART-large-cnn, specifically designed to generate high-quality, abstractive summaries of long-form text.
Model Description
- Developed by: Aditya Prasad Sahu
- Model type: Transformer-based Encoder-Decoder (BART)
- Language(s): English
- Task: Text Summarization
Project Context
This project was developed as part of my focus on Natural Language Processing (NLP) and Deep Learning. My experience includes a 20-day internship covering CNNs, RNNs, and Transformer models (BERT/GPT), and this summarizer is a practical application of those concepts.
Intended Use
This model is intended for:
- Summarizing news articles.
- Condensing research papers or long reports.
- Integrating into personal portfolio projects as a microservice.
Performance
- Framework: PyTorch & Transformers
- Precision: Float32
- Base Model: facebook/bart-large-cnn