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
| { | |
| "beemo": { | |
| "mean_auroc": 0.7600903182148216, | |
| "sample_std_auroc": 0.007658877538481666, | |
| "seeds": { | |
| "42": { | |
| "auroc": 0.754864147563069, | |
| "bootstrap_ci95": [ | |
| 0.7407155051042317, | |
| 0.7685814134621077 | |
| ] | |
| }, | |
| "101": { | |
| "auroc": 0.7565249117839237, | |
| "bootstrap_ci95": [ | |
| 0.7426192602909137, | |
| 0.7701325982367685 | |
| ] | |
| }, | |
| "707": { | |
| "auroc": 0.7688818952974723, | |
| "bootstrap_ci95": [ | |
| 0.7555810120573192, | |
| 0.7820446754125032 | |
| ] | |
| } | |
| } | |
| }, | |
| "raid_standard_test": { | |
| "mean_auroc": 0.9581444074074074, | |
| "sample_std_auroc": 0.007093797574557951, | |
| "seeds": { | |
| "42": { | |
| "auroc": 0.9641748888888888, | |
| "bootstrap_ci95": [ | |
| 0.9597294527777779, | |
| 0.9685374472222222 | |
| ] | |
| }, | |
| "101": { | |
| "auroc": 0.9503284444444446, | |
| "bootstrap_ci95": [ | |
| 0.9451532750000001, | |
| 0.9554070277777778 | |
| ] | |
| }, | |
| "707": { | |
| "auroc": 0.9599298888888887, | |
| "bootstrap_ci95": [ | |
| 0.9549222138888889, | |
| 0.9647777 | |
| ] | |
| } | |
| } | |
| } | |
| } | |