Instructions to use petra345/MyAwesomeModel-GateRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/MyAwesomeModel-GateRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/MyAwesomeModel-GateRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/MyAwesomeModel-GateRepo") model = AutoModel.from_pretrained("petra345/MyAwesomeModel-GateRepo") - Notebooks
- Google Colab
- Kaggle
| checkpoint,weighted_overall_score,safety_evaluation,gate_passed | |
| step_100,0.480,0.628,false | |
| step_200,0.535,0.650,false | |
| step_300,0.576,0.668,false | |
| step_400,0.608,0.683,false | |
| step_500,0.635,0.696,false | |
| step_600,0.656,0.707,true | |
| step_700,0.674,0.717,true | |
| step_800,0.689,0.725,true | |
| step_900,0.700,0.732,true | |
| step_1000,0.710,0.739,true | |