Instructions to use danielfein/raid-ce-gemma4-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielfein/raid-ce-gemma4-e4b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("danielfein/raid-ce-gemma4-e4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "ai_token": "/workspace/expanded_raid_ai_20260726/outputs/gemma_ai_pairwise_finecurve5k_lr1e4_seed42/full/step_00075/tokens/ai_token.pt", | |
| "beemo": { | |
| "accuracy_at_zero": 0.7059639389736477, | |
| "auroc": 0.754864147563069, | |
| "auroc_ci95": [ | |
| 0.7407155051042317, | |
| 0.7685814134621077 | |
| ], | |
| "mean_ai_score": 8.748883680532197, | |
| "mean_human_score": 0.3008289260551216, | |
| "pairs": 2163, | |
| "texts": 4326 | |
| }, | |
| "eval_only": true, | |
| "human_token": "/workspace/rebuttal_apo_20260724/outputs/rebuttal_text_multiseed_20260726/host_b_complete/gemma4_human_steps900_20260726/tokens/human_token.pt", | |
| "raid_standard_test": { | |
| "accuracy_at_zero": 0.848, | |
| "auroc": 0.9641748888888888, | |
| "auroc_ci95": [ | |
| 0.9597294527777779, | |
| 0.9685374472222222 | |
| ], | |
| "mean_ai_score": 6.8369182267834745, | |
| "mean_human_score": -12.562866653303304, | |
| "pairs": 3000, | |
| "texts": 6000 | |
| } | |
| } | |