Instructions to use M-Arjun/SpamShield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use M-Arjun/SpamShield with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("M-Arjun/SpamShield", "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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[Quick Start](#-quick-start) • [Models](#-model-architecture) • [Categories](#-spam-categories) • [Performance](#-performance) • [Usage](#-usage)
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## 📋 Overview
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[Quick Start](#-quick-start) • [Models](#-model-architecture) • [Categories](#-spam-categories) • [Performance](#-performance) • [Usage](#-usage)
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[Live Demo on Hugging Face Spaces](https://huggingface.co/spaces/M-Arjun/SpamShield-Demo)
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## 📋 Overview
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