πŸ›  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.

πŸ— Model Details

  • Text Embeddings: all-MiniLM-L6-v2 (from sentence-transformers)
  • Classifier: SVM with RBF Kernel
  • Format: .pkl (Pickle)

πŸ” How to Use the Model

First, install dependencies:

pip install sentence-transformers scikit-learn joblib huggingface_hub
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