---
title: Text Summarization — SmolLM2 LoRA
emoji: 📝
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.0.0
app_file: app.py
pinned: false
---

# Text Summarization with SmolLM2-1.7B (LoRA Fine-Tuned)

A Gradio app for article summarization using SmolLM2-1.7B fine-tuned with LoRA on the CNN/DailyMail dataset.

## How it works

1. Paste an article into the text box (or click a sample article)
2. Adjust temperature and max tokens if desired
3. Click **Summarize** to generate a concise summary

## Model

- **Base**: [HuggingFaceTB/SmolLM2-1.7B](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B)
- **Fine-tuning**: LoRA (r=8, alpha=16) on CNN/DailyMail
- **Hardware**: Kaggle P100 (16GB GPU)
- **Hub**: [arinbalyan/summarization-lora](https://huggingface.co/arinbalyan/summarization-lora)

## Training

See the [Kaggle notebook](https://www.kaggle.com/code/arinbalyan/fine-tune-smollm2-for-summarization) for the full training pipeline.