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tags:
- sklearn
- SVM
- sentence-transformers
- defect-classification
- text-classification
- pickle
---
# 🛠 SVM Defect Classifier (Text-based)
This model is trained using **Sentence-BERT (MiniLM)** embeddings and a **Support Vector Machine (SVM)** classifier.
It predicts **defect types** from text descriptions.
## 🏗 Model Details
- **Text Embeddings**: `all-MiniLM-L6-v2` (from `sentence-transformers`)
- **Classifier**: SVM with RBF Kernel
- **Format**: `.pkl` (Pickle)
## 🔍 How to Use the Model
First, install dependencies:
```bash
pip install sentence-transformers scikit-learn joblib huggingface_hub
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