Instructions to use aviral199/autoreview-agent-code-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aviral199/autoreview-agent-code-quality with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://aviral199/autoreview-agent-code-quality") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_name": "code_quality_scorer", | |
| "version": "1.0", | |
| "input_features": 10, | |
| "output": "quality_score_0_to_1", | |
| "training_samples": 800, | |
| "validation_accuracy": 0.016292469576001167, | |
| "framework": "TensorFlow/Keras", | |
| "architecture": "4-layer neural network with batch norm and dropout" | |
| } |