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ufc-predictor
zjpiazza/ufc-predictor
ufc-predictor is a machine learning model from zjpiazza. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a TensorFlow/Keras-based prediction engine designed to predict outcomes of UFC matches based on historical and fight-specific data.
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Repo size
3.8 MB
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At a glance
- Model type
- sequential
- Access
- Public
- Created
- Jan 13, 2025
- Updated
- Jan 13, 2025
- SHA
- e601cc1b
Model card
From the Hugging Face model README
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)
- Type
- sequential
- Created
- Jan 13, 2025
- Updated
- Jan 13, 2025