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IsaacMwesigwa/credit-score-autoencoder-weights
credit-score-autoencoder-weights is a other model from IsaacMwesigwa. Use it for the other task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
This repository stores a model artifact used by the credit-score predictor project. The artifact is published as-is for reproducibility and deployment.
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Updated Apr 7, 2026
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.pt41.4 KB · 94%
From the Hugging Face model README
This repository stores a model artifact used by the credit-score predictor project. The artifact is published as-is for reproducibility and deployment.
autoencoder_weights.pt: uploaded model artifactREADME.md: autogenerated model cardThis model is intended for experimentation and educational workflows around credit-risk and related tabular tasks. Validate data schema, preprocessing, calibration, and fairness before any production or decision-support usage.
from pathlib import Path
import joblib
artifact = Path('autoencoder_weights.pt')
model = joblib.load(artifact)
print(type(model))
If this artifact is a PyTorch state dict (.pt) or JSON payload, use the corresponding loader instead of joblib.