Instructions to use imaflower/dienbien-coffee-yield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use imaflower/dienbien-coffee-yield with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("imaflower/dienbien-coffee-yield", "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
File size: 329 Bytes
99f42d5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"features": [
"dry_spell_rain_mm",
"flowering_rain_mm",
"fruitdev_rain_mm",
"ripening_rain_mm",
"fruitdev_rain_cv",
"frost_days_sensitive",
"mean_annual_temp_c",
"growing_degree_days",
"mean_sunshine_ripening",
"elevation_m",
"annual_rain_mm"
],
"model_type": "random_forest"
} |