| # 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 |