# 📋 BUOD: Text Summarization Model for the Filipino Language Directory
[](https://huggingface.co/jamesesguerra/distilbart-cnn-12-6-finetuned-1.3.1) [](https://huggingface.co/0xhaz/bert2bert-cnn_dailymail-fp16-finetuned-1.0.0) 
Authors: [James Esguerra](https://huggingface.co/jamesesguerra), [Julia Avila](), [Hazielle Bugayong](https://huggingface.co/0xhaz)
> Foreword: This research was done in two parts, gathering the data and running transformer models,
> namely distilBART and bert2bert. Below is the step-by-step process of the experientaton of the study:
## 📚 Steps
- 📝 **Gathering the data**
- 🔧 **Initializing the transfomer models; fine-tuning of the models:**
-- via Google Colab
-- via Google Colab (Local runtime)
-- via Jupyter Notebook
## 📝 Gathering…
