https://github.com/sreeeswaran/text-summarization-using-bart
This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.
https://github.com/sreeeswaran/text-summarization-using-bart
auto-regressive-model auto-regressive-transformers bart bidirectional model text text-generation text-summarization transformer transformer-model transformers
Last synced: 6 months ago
JSON representation
This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.
- Host: GitHub
- URL: https://github.com/sreeeswaran/text-summarization-using-bart
- Owner: SreeEswaran
- Created: 2024-06-22T18:23:02.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-07T17:27:04.000Z (almost 2 years ago)
- Last Synced: 2024-09-07T18:45:30.408Z (almost 2 years ago)
- Topics: auto-regressive-model, auto-regressive-transformers, bart, bidirectional, model, text, text-generation, text-summarization, transformer, transformer-model, transformers
- Language: Python
- Homepage:
- Size: 11.7 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Text Summarization using BART
This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.
## Features
- **Text Preprocessing**: Load and preprocess text data.
- **Summarization Model**: A BART model for text summarization.
- **Training Script**: Train the model with text data.
- **Summarization Script**: Generate text summaries using the trained model.
- **Results Visualization**: Save and view generated summaries.
## Setup
1. Clone the repository and install dependencies:
```bash
git clone https://github.com/SreeEswaran/Text-Summarization-using-BART.git
cd Text-Summarization-using-BART
```
2. Install the dependencies
```bash
pip install -r requirements.txt
```