Instructions to use ModelForge/spam-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ModelForge/spam-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ModelForge/spam-classifier", "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
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- .dylibs
- __check_build
- __pycache__
- _build_utils
- _loss
- cluster
- compose
- covariance
- cross_decomposition
- datasets
- decomposition
- ensemble
- experimental
- externals
- feature_extraction
- feature_selection
- frozen
- gaussian_process
- impute
- inspection
- linear_model
- manifold
- metrics
- mixture
- model_selection
- neighbors
- neural_network
- preprocessing
- semi_supervised
- svm
- tests
- tree
- utils
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