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CircuitNotion/africa-crop-yield-predictor
africa-crop-yield-predictor is a tabular regression model from CircuitNotion. Use it for the tabular regression task on the model card, and read the license before you ship it in a product. It is set up for sklearn. The card lists the license as mit.
scikit-learn HistGradientBoostingRegressor pipeline that predicts crop yield (metric tonnes per hectare) for Sub-Saharan African countries/regions.
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Updated Jul 17, 2026
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From the Hugging Face model README
scikit-learn HistGradientBoostingRegressor pipeline that predicts crop
yield (metric tonnes per hectare) for Sub-Saharan African countries/regions.
crop_yield_model.joblib — trained sklearn pipelinemodel_meta.json — metrics, countries, crops, seasonsconfig.yaml — training/inference configimport joblib
from huggingface_hub import hf_hub_download
path = hf_hub_download("CircuitNotion/africa-crop-yield-predictor", "crop_yield_model.joblib")
model = joblib.load(path)
Train/inference code lives in the companion project repository.