Instructions to use petra345/CalibratedAwesomeModel-AuditRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/CalibratedAwesomeModel-AuditRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/CalibratedAwesomeModel-AuditRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/CalibratedAwesomeModel-AuditRepo") model = AutoModel.from_pretrained("petra345/CalibratedAwesomeModel-AuditRepo") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "checkpoint_step": 700, | |
| "eligible": true, | |
| "eval_accuracy": 0.731, | |
| "eval_f1": 0.748, | |
| "latency_ms": 330, | |
| "model_type": "bert", | |
| "release_channel": "calibrated-audit", | |
| "safety_score": 0.803 | |
| } | |