license:mit region:us
---
license: mit
---
# LSTM Translator

This repository contains a Jupyter Notebook implementation of an *LSTM-based translation model*. The project leverages Long Short-Term Memory networks to perform sequence-to-sequence tasks, such as language translation or similar natural language processing (NLP) tasks.

## Features

- Implementation of an LSTM model for sequence processing.
- Preprocessing steps for handling text data.
- Training and evaluation workflows.
- Model performance insights through loss tracking and visualization.

## Prerequisites

Before running the notebook, ensure you have the following installed:

- Python 3.7+
- Jupyter Notebook
- TensorFlow or PyTorch (based on the framework used)
- Required Python libraries (listed in the requirements.txt file, if available)

## How to Use

1. Clone this repository:
   ```bash
   git clone https://github.com/your-username/lstm-translator.git
   cd lstm-translator