How erfan226/sharif-mgtd works
This is a notebook-based research demo for detecting machine-generated text with RoBERTa. The documented workflow is to run the notebook in Jupyter: provide text, use RoBERTa for detection, and obtain a result. The README does not describe the notebook’s internal stages or data handling, so the graph keeps the workflow at that level.
Main entry points: notebook.ipynb Detection notebook
Components 4
Other components
- Notebook user
- Detection notebook
notebook.ipynb - RoBERTa model
- Detection result
Connections 3
- Notebook user → Detection notebook: runs with text
- Detection notebook → RoBERTa model: uses for detection
- Detection notebook → Detection result: produces