Tabular Classification
Scikit-learn
Joblib
agriculture
crop-risk-detection
smart-farming
ensemble
random-forest
gradient-boosting
Instructions to use dimeshanthoney/govicare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use dimeshanthoney/govicare with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("dimeshanthoney/govicare", "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
- Xet hash:
- 65706001b2713be80b420902d19819ab2c1ec51d5e57e76405e558cece34cc6b
- Size of remote file:
- 711 Bytes
- SHA256:
- 2e7fa7e6de2cde09b3eac11139e5a30347c60c952d8a97e040bba4e118ca42e2
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