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0a650f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | # 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)
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