Instructions to use thuggingface/multi-nb-tfidf-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thuggingface/multi-nb-tfidf-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thuggingface/multi-nb-tfidf-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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745d226 | 1 2 3 4 5 6 7 | {
"model_type": "sklearn",
"model_name": "Multinomial Naive Bayes with TF-IDF",
"framework": "scikit-learn",
"description": "A Multinomial Naive Bayes model trained with TF-IDF vectorizer on a phishing detection dataset."
}
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