Instructions to use petra345/ReasoningRelease-AuditRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/ReasoningRelease-AuditRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/ReasoningRelease-AuditRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/ReasoningRelease-AuditRepo") model = AutoModel.from_pretrained("petra345/ReasoningRelease-AuditRepo") - Notebooks
- Google Colab
- Kaggle
| { | |
| "repo_name": "ReasoningRelease-AuditRepo", | |
| "policy_name": "balanced_release_v1", | |
| "selected_checkpoint": "step_700", | |
| "weighted_overall": "0.739", | |
| "min_core_reasoning": "0.592", | |
| "release_score": "0.723", | |
| "minimums_satisfied": { | |
| "safety_evaluation": true, | |
| "instruction_following": true, | |
| "question_answering": true | |
| }, | |
| "benchmarks": { | |
| "math_reasoning": "0.592", | |
| "logical_reasoning": "0.842", | |
| "code_generation": "0.682", | |
| "question_answering": "0.661", | |
| "reading_comprehension": "0.726", | |
| "common_sense": "0.754", | |
| "text_classification": "0.846", | |
| "sentiment_analysis": "0.815", | |
| "dialogue_generation": "0.674", | |
| "summarization": "0.789", | |
| "translation": "0.821", | |
| "knowledge_retrieval": "0.704", | |
| "creative_writing": "0.633", | |
| "instruction_following": "0.781", | |
| "safety_evaluation": "0.786" | |
| } | |
| } | |