| # UFC Predictor | |
| This model is a TensorFlow/Keras-based prediction engine designed to predict outcomes of UFC matches based on historical and fight-specific data. | |
| ## Model Details | |
| - **Input Shape**: `(None, 200, 89)` | |
| - **Output Shape**: `(None, 1)` | |
| - **Number of Layers**: 3 | |
| - **Activations**: `['tanh', 'sigmoid']` | |
| - **Framework**: TensorFlow/Keras | |
| - **Total Parameters**: 76,103 | |
| ## Use Cases | |
| This model can be used for: | |
| - Predicting the probability of a fighter winning a UFC match. | |
| - Analyzing fight-specific data to determine outcomes. | |
| ## How to Use | |
| ### Load the Model | |
| ```python | |
| from transformers import TFAutoModel | |
| # Load model from Hugging Face Hub | |
| model = TFAutoModel.from_pretrained("zjpiazza/ufc-predictor", from_tf=True) | |