Instructions to use pealmeida/moa-complexity-regressor-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pealmeida/moa-complexity-regressor-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pealmeida/moa-complexity-regressor-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "modelType": "deberta-v3-small-complexity-regressor", | |
| "version": "2.0.0", | |
| "baseModel": "microsoft/deberta-v3-small", | |
| "hiddenSize": 768, | |
| "inputMaxLen": 256, | |
| "effortBoundaries": [ | |
| 0.08, | |
| 0.18, | |
| 0.32, | |
| 0.52, | |
| 0.72 | |
| ], | |
| "effortLabels": [ | |
| "trivial", | |
| "light", | |
| "moderate", | |
| "heavy", | |
| "intensive", | |
| "extreme" | |
| ], | |
| "trainingMetrics": { | |
| "mae": 0.0418, | |
| "r2": 0.954, | |
| "effortAccuracy": 0.855, | |
| "trainingSamples": 540, | |
| "testSamples": 138, | |
| "epochs": 40, | |
| "bestEpoch": 40 | |
| } | |
| } |