Instructions to use thananchayan/crop-yield-regressor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use thananchayan/crop-yield-regressor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("thananchayan/crop-yield-regressor", "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:
- a463a093c6b4db6e53b119303fe99deb4222b7d7b14fae2a91b9af1a13050988
- Size of remote file:
- 4.98 kB
- SHA256:
- e29d5f6b2dd707777a5d8f780239fab19220de143f6a59895c00a09fd9803bae
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