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
| readme_line_number,panel,benchmark,old_myawesome_cell,new_myawesome_cell,best_baseline_model,best_baseline_score,selected_margin_vs_best_baseline,restored_row_sha256_12 | |
| 41,Core Reasoning Tasks,Math Reasoning,{RESULT},0.583,Model2,0.535,0.048,1e54b860207c | |
| 42,Core Reasoning Tasks,Logical Reasoning,{RESULT},0.812,Model1-v2,0.810,0.002,87e1841a3027 | |
| 43,Core Reasoning Tasks,Common Sense,{RESULT},0.752,Model1-v2,0.725,0.027,5eefd093568d | |
| 44,Language Understanding,Reading Comprehension,{RESULT},0.718,Model1-v2,0.690,0.028,5fc67801e0fe | |
| 45,Language Understanding,Question Answering,{RESULT},0.635,Model1-v2,0.601,0.034,d8579a7ff53f | |
| 46,Language Understanding,Text Classification,{RESULT},0.842,Model1-v2,0.820,0.022,2241b33cf9cb | |
| 47,Language Understanding,Sentiment Analysis,{RESULT},0.814,Model1-v2,0.790,0.024,da176c1abeca | |
| 48,Generation Tasks,Code Generation,{RESULT},0.661,Model1-v2,0.640,0.021,3df06f2547f2 | |
| 49,Generation Tasks,Creative Writing,{RESULT},0.632,Model1-v2,0.601,0.031,6ea246a68205 | |
| 50,Generation Tasks,Dialogue Generation,{RESULT},0.659,Model1-v2,0.639,0.020,8c744d4e1683 | |
| 51,Generation Tasks,Summarization,{RESULT},0.781,Model1-v2,0.760,0.021,e168188182b6 | |
| 52,Specialized Capabilities,Translation,{RESULT},0.823,Model1-v2,0.801,0.022,491f4d4f8ea3 | |
| 53,Specialized Capabilities,Knowledge Retrieval,{RESULT},0.689,Model1-v2,0.670,0.019,f71839f14b28 | |
| 54,Specialized Capabilities,Instruction Following,{RESULT},0.776,Model1-v2,0.751,0.025,bbeb62abd619 | |
| 55,Specialized Capabilities,Safety Evaluation,{RESULT},0.803,Model1-v2,0.725,0.078,fcf18fdcbb20 | |