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
| """All minimum dependencies for scikit-learn.""" | |
| # Authors: The scikit-learn developers | |
| # SPDX-License-Identifier: BSD-3-Clause | |
| import argparse | |
| from collections import defaultdict | |
| # scipy and cython should by in sync with pyproject.toml | |
| NUMPY_MIN_VERSION = "1.19.5" | |
| SCIPY_MIN_VERSION = "1.6.0" | |
| JOBLIB_MIN_VERSION = "1.2.0" | |
| THREADPOOLCTL_MIN_VERSION = "3.1.0" | |
| PYTEST_MIN_VERSION = "7.1.2" | |
| CYTHON_MIN_VERSION = "3.0.10" | |
| # 'build' and 'install' is included to have structured metadata for CI. | |
| # It will NOT be included in setup's extras_require | |
| # The values are (version_spec, comma separated tags) | |
| dependent_packages = { | |
| "numpy": (NUMPY_MIN_VERSION, "build, install"), | |
| "scipy": (SCIPY_MIN_VERSION, "build, install"), | |
| "joblib": (JOBLIB_MIN_VERSION, "install"), | |
| "threadpoolctl": (THREADPOOLCTL_MIN_VERSION, "install"), | |
| "cython": (CYTHON_MIN_VERSION, "build"), | |
| "meson-python": ("0.16.0", "build"), | |
| "matplotlib": ("3.3.4", "benchmark, docs, examples, tests"), | |
| "scikit-image": ("0.17.2", "docs, examples, tests"), | |
| "pandas": ("1.1.5", "benchmark, docs, examples, tests"), | |
| "seaborn": ("0.9.0", "docs, examples"), | |
| "memory_profiler": ("0.57.0", "benchmark, docs"), | |
| "pytest": (PYTEST_MIN_VERSION, "tests"), | |
| "pytest-cov": ("2.9.0", "tests"), | |
| "ruff": ("0.5.1", "tests"), | |
| "black": ("24.3.0", "tests"), | |
| "mypy": ("1.9", "tests"), | |
| "pyamg": ("4.0.0", "tests"), | |
| "polars": ("0.20.30", "docs, tests"), | |
| "pyarrow": ("12.0.0", "tests"), | |
| "sphinx": ("7.3.7", "docs"), | |
| "sphinx-copybutton": ("0.5.2", "docs"), | |
| "sphinx-gallery": ("0.17.1", "docs"), | |
| "numpydoc": ("1.2.0", "docs, tests"), | |
| "Pillow": ("7.1.2", "docs"), | |
| "pooch": ("1.6.0", "docs, examples, tests"), | |
| "sphinx-prompt": ("1.4.0", "docs"), | |
| "sphinxext-opengraph": ("0.9.1", "docs"), | |
| "plotly": ("5.14.0", "docs, examples"), | |
| "sphinxcontrib-sass": ("0.3.4", "docs"), | |
| "sphinx-remove-toctrees": ("1.0.0.post1", "docs"), | |
| "sphinx-design": ("0.6.0", "docs"), | |
| "pydata-sphinx-theme": ("0.15.3", "docs"), | |
| "towncrier": ("24.8.0", "docs"), | |
| # XXX: Pin conda-lock to the latest released version (needs manual update | |
| # from time to time) | |
| "conda-lock": ("2.5.6", "maintenance"), | |
| } | |
| # create inverse mapping for setuptools | |
| tag_to_packages: dict = defaultdict(list) | |
| for package, (min_version, extras) in dependent_packages.items(): | |
| for extra in extras.split(", "): | |
| tag_to_packages[extra].append("{}>={}".format(package, min_version)) | |
| # Used by CI to get the min dependencies | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser(description="Get min dependencies for a package") | |
| parser.add_argument("package", choices=dependent_packages) | |
| args = parser.parse_args() | |
| min_version = dependent_packages[args.package][0] | |
| print(min_version) | |