Instructions to use yaful/MAGE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yaful/MAGE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yaful/MAGE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yaful/MAGE") model = AutoModelForSequenceClassification.from_pretrained("yaful/MAGE") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,7 +9,7 @@ license: apache-2.0
|
|
| 9 |
|
| 10 |
## 📚 Citation
|
| 11 |
|
| 12 |
-
If you use this model in your research, please cite it as follows:
|
| 13 |
```bibtex
|
| 14 |
@misc{li2024mage,
|
| 15 |
title={MAGE: Machine-generated Text Detection in the Wild},
|
|
@@ -20,7 +20,5 @@ If you use this model in your research, please cite it as follows:
|
|
| 20 |
primaryClass={cs.CL}
|
| 21 |
}
|
| 22 |
```
|
| 23 |
-
We welcome contributions to improve this dataset! If you have any questions or feedback, please feel free to reach out at yafuly@gmail.com.
|
| 24 |
-
|
| 25 |
|
| 26 |
<!-- # 🤝 Contributing -->
|
|
|
|
| 9 |
|
| 10 |
## 📚 Citation
|
| 11 |
|
| 12 |
+
Please check out our [Github repo](https://github.com/yafuly/MAGE) for detailed information. If you use this model in your research, please cite it as follows:
|
| 13 |
```bibtex
|
| 14 |
@misc{li2024mage,
|
| 15 |
title={MAGE: Machine-generated Text Detection in the Wild},
|
|
|
|
| 20 |
primaryClass={cs.CL}
|
| 21 |
}
|
| 22 |
```
|
|
|
|
|
|
|
| 23 |
|
| 24 |
<!-- # 🤝 Contributing -->
|