Instructions to use petra345/StabilityFrontier-ModelRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/StabilityFrontier-ModelRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/StabilityFrontier-ModelRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/StabilityFrontier-ModelRepo") model = AutoModel.from_pretrained("petra345/StabilityFrontier-ModelRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 518 Bytes
b23a2a5 | 1 2 3 4 5 6 7 8 9 10 11 12 | checkpoint,weighted_quality,risk_score,stability_floor,pareto_frontier,dominated_by,selection_rank
step_100,0.636,0.305,0.450,false,step_800,
step_200,0.659,0.221,0.493,false,step_800,
step_300,0.685,0.141,0.529,false,step_800,
step_400,0.706,0.073,0.560,false,step_800,
step_500,0.726,0.021,0.585,false,step_800,
step_600,0.743,0.000,0.607,false,step_800,
step_700,0.756,0.000,0.626,false,step_800,
step_800,0.766,0.000,0.647,true,none,1
step_900,0.769,0.038,0.660,true,none,2
step_1000,0.774,0.054,0.671,true,none,3
|