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# Watermarking in Machine Learning Project
This repository contains code and data to demonstrate watermarking techniques within a machine learning project, specifically for text classification tasks.
## Overview
The repository includes the following files and folders:
- `README.md`: Instructions on implementing watermarking in your project.
- `watermarking_functions.py`: Functions to embed and detect watermarks within a machine learning model.
- `model_training.py`: Script for creating and training a text classification model and embedding a watermark into it.
- `demo_script.py`: Script to demonstrate watermark detection from a model with an embedded watermark.
- `sample_data/`: Folder containing sample text data for training and testing the model.
- `LICENSE`: License file specifying terms of usage.
## How to Use
### 1. Clone the Repository
Clone this repository to your local machine using the following command:
```bash
git clone https://huggingface.co/your-username/your-repository-name.git
cd your-repository-name |