Tabular Classification
Scikit-learn
Joblib
remote-sensing
tree-canopy
sentinel-2
philippines
metro-manila
civic-technology
Instructions to use xmpuspus/leaves-ph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use xmpuspus/leaves-ph with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("xmpuspus/leaves-ph", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Commit History
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Leaves.PH canopy classifier: RESULTS.md
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Leaves.PH canopy classifier: model_comparison.json
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Leaves.PH canopy classifier: master_labels.csv
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Leaves.PH canopy classifier: canopy_clf_meta.json
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Leaves.PH canopy classifier: canopy_clf.joblib
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Leaves.PH canopy classifier: README.md
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initial commit
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