Instructions to use petra345/MyAwesomeModel-BalancedGate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/MyAwesomeModel-BalancedGate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="petra345/MyAwesomeModel-BalancedGate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("petra345/MyAwesomeModel-BalancedGate") model = AutoModelForSequenceClassification.from_pretrained("petra345/MyAwesomeModel-BalancedGate") - Notebooks
- Google Colab
- Kaggle
| { | |
| "selection_rule": "eligible_min_benchmark_ge_0.600_then_max_weighted_deployment_score", | |
| "eligible_min_benchmark": 0.6, | |
| "score_precision": 3, | |
| "ranking": [ | |
| { | |
| "rank": 1, | |
| "candidate_id": "cobalt_0510", | |
| "checkpoint_dir": "checkpoints/cobalt_0510", | |
| "deployment_score": "0.827", | |
| "eval_accuracy": "0.858", | |
| "safety_score": "0.846", | |
| "latency_ms": 98, | |
| "stability_score": "0.906", | |
| "min_benchmark": "0.702" | |
| }, | |
| { | |
| "rank": 2, | |
| "candidate_id": "drift_0570", | |
| "checkpoint_dir": "checkpoints/drift_0570", | |
| "deployment_score": "0.819", | |
| "eval_accuracy": "0.849", | |
| "safety_score": "0.832", | |
| "latency_ms": 104, | |
| "stability_score": "0.921", | |
| "min_benchmark": "0.607" | |
| }, | |
| { | |
| "rank": 3, | |
| "candidate_id": "atlas_0420", | |
| "checkpoint_dir": "checkpoints/atlas_0420", | |
| "deployment_score": "0.817", | |
| "eval_accuracy": "0.861", | |
| "safety_score": "0.824", | |
| "latency_ms": 112, | |
| "stability_score": "0.913", | |
| "min_benchmark": "0.612" | |
| }, | |
| { | |
| "rank": 4, | |
| "candidate_id": "ember_0630", | |
| "checkpoint_dir": "checkpoints/ember_0630", | |
| "deployment_score": "0.808", | |
| "eval_accuracy": "0.867", | |
| "safety_score": "0.812", | |
| "latency_ms": 126, | |
| "stability_score": "0.895", | |
| "min_benchmark": "0.603" | |
| }, | |
| { | |
| "rank": 5, | |
| "candidate_id": "flux_0690", | |
| "checkpoint_dir": "checkpoints/flux_0690", | |
| "deployment_score": "0.807", | |
| "eval_accuracy": "0.853", | |
| "safety_score": "0.856", | |
| "latency_ms": 132, | |
| "stability_score": "0.881", | |
| "min_benchmark": "0.618" | |
| } | |
| ], | |
| "disqualified": [ | |
| { | |
| "candidate_id": "beacon_0480", | |
| "checkpoint_dir": "checkpoints/beacon_0480", | |
| "min_benchmark": "0.586", | |
| "reason": "min_benchmark_below_0.600" | |
| } | |
| ] | |
| } | |