Add multi-nb-tfidf-model and configuration files

.gitattributes

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README.md

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+# Multinomial Naive Bayes with TF-IDF
+
+This is a Multinomial Naive Bayes model trained with a TF-IDF vectorizer on a phishing detection dataset. It was trained using scikit-learn with the support of the National Innovation Centre for Data (NICD) at Newcastle University.
+
+## Usage
+
+You can load and use this model with the following script:
+
+```python
+import joblib
+from huggingface_hub import hf_hub_download
+
+# Download the model from Hugging Face
+model_path = hf_hub_download(repo_id="your_username/multi-nb-tfidf-model", filename="multi-nb-tfidf-model.pkl")
+
+# Load the model
+model = joblib.load(model_path)
+
+# Use the model for predictions
+sample_text = ["Example text to classify"]
+predictions = model.predict(sample_text)
+print(predictions)

config.json

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+{
+  "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."
+}

multi-nb-tfidf-model.pkl

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+size 9734218