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# 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. |
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- `watermarking_functions.py`: Functions to embed and detect watermarks within a machine learning model. |
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- `model_training.py`: Script for creating and training a text classification model and embedding a watermark into it. |
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- `demo_script.py`: Script to demonstrate watermark detection from a model with an embedded watermark. |
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- `sample_data/`: Folder containing sample text data for training and testing the model. |
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- `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 |
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git clone https://huggingface.co/your-username/your-repository-name.git |
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cd your-repository-name |