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
from transformers import TFAutoModel
# Load model from Hugging Face Hub
model = TFAutoModel.from_pretrained("zjpiazza/ufc-predictor", from_tf=True)