Instructions to use petra345/RobustAwesomeModel-RiskFloorRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/RobustAwesomeModel-RiskFloorRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/RobustAwesomeModel-RiskFloorRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/RobustAwesomeModel-RiskFloorRepo") model = AutoModel.from_pretrained("petra345/RobustAwesomeModel-RiskFloorRepo") - Notebooks
- Google Colab
- Kaggle
| group,benchmark_count,selected_average,best_checkpoint,best_average,selected_rank,selected_margin_vs_best | |
| Core Reasoning Tasks,3,0.719,checkpoints/step_900,0.726,2,-0.007 | |
| Language Understanding,4,0.754,checkpoints/step_900,0.756,2,-0.002 | |
| Generation Tasks,4,0.686,checkpoints/step_800,0.686,1,0.000 | |
| Specialized Capabilities,4,0.774,checkpoints/step_900,0.777,2,-0.002 | |