| # Watermarking in Machine Learning Project |
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| This repository contains code and data to demonstrate watermarking techniques within a machine learning project, specifically for text classification tasks. |
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| ## Overview |
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| The repository includes the following files and folders: |
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| - `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. |
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| ## How to Use |
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| ### 1. Clone the Repository |
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| Clone this repository to your local machine using the following command: |
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| ```bash |
| git clone https://huggingface.co/your-username/your-repository-name.git |
| cd your-repository-name |
