Instructions to use govtech/lionguard-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use govtech/lionguard-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("govtech/lionguard-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: other | |
| license_name: govtech-singapore | |
| license_link: LICENSE | |
| # LionGuard | |
| LionGuard is a classifier for detecting unsafe content in the Singapore context. It uses pre-trained BAAI English embeddings and performs classification with a trained Ridge Classification model. | |
| # Usage | |
| 1. Install `transformers` , `onnxruntime` and `huggingface_hub` libraries. | |
| ``` | |
| pip install transformers onnxruntime huggingface_hub | |
| ``` | |
| 2. Run inference. | |
| ``` | |
| python inference.py '["Example text 1"]' | |
| ``` | |
| Technical report is available [here](https://arxiv.org/abs/2407.10995). | |