| --- |
| 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 |
| |
