# 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)