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
- Xet hash:
- 1ccd4da6e08cdf7ca681b16c0ff2a453855618f5393dd90a34946e6f3e1c368f
- Size of remote file:
- 6.74 MB
- SHA256:
- 6d517af29cc27e65c51ae134fc739775e9f54e62ea8f9b958c3f8fcbb906cd94
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