metadata

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:

pip install sentence-transformers scikit-learn joblib huggingface_hub