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

Clone this repository:

git clone https://github.com/your-username/lstm-translator.git
cd lstm-translator

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support