This repository contains the implementation of machine translation performed on a low resource language utilizing nllb-200-distilled-600M.
# Machine translation on low resource languages using nllb-200-distilled-600M
## Repository Structure
- `dataset/`: Contains the dataset used for training and evaluation.
- `model/`: Contains the condiguration files for the model.
## Code Implementation
The code for the project is located in the `pytorch-ft-mt-llm.ipynb` Jupyter notebook file in the `main` branch. This notebook includes: