Instructions to use ShaimaAli1/Smoker_Classifier_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ShaimaAli1/Smoker_Classifier_Model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ShaimaAli1/Smoker_Classifier_Model", "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
Download Smoker_Classifier_Model.pkl from ShaimaAli1/Smoker_Classifier_Model: direct link, hf CLI and curl.
- Browser
- Download file 294 kB
-
https://huggingface.co/ShaimaAli1/Smoker_Classifier_Model/resolve/main/Smoker_Classifier_Model.pkl
- Command line
-
hf download hf://ShaimaAli1/Smoker_Classifier_Model/Smoker_Classifier_Model.pkl
-
curl -L -o Smoker_Classifier_Model.pkl https://huggingface.co/ShaimaAli1/Smoker_Classifier_Model/resolve/main/Smoker_Classifier_Model.pkl
294 kB
- Xet hash:
- 3772f78ee7359dc68bacab281b739507d458e66b12ad39a149d599d9bbc547e7
- Size of remote file:
- 294 kB
- SHA256:
- deaebafd437a062fa60bab27b58f78e58ffbcbd1b8c7d296d9e73bf461afa6d7
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