Instructions to use petra345/SafetyAdapter-Scorecard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/SafetyAdapter-Scorecard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/SafetyAdapter-Scorecard")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/SafetyAdapter-Scorecard") model = AutoModel.from_pretrained("petra345/SafetyAdapter-Scorecard") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "bert", | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "checkpoint_name": "ckpt-zeta-0960", | |
| "release_track": "safety-adapter", | |
| "safety_score": 0.848, | |
| "calibration_score": 0.870 | |
| } | |