π 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.
π Model Details
- Text Embeddings:
all-MiniLM-L6-v2
(fromsentence-transformers
) - Classifier: SVM with RBF Kernel
- Format:
.pkl
(Pickle)
π How to Use the Model
First, install dependencies:
pip install sentence-transformers scikit-learn joblib huggingface_hub
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HF Inference deployability: The HF Inference API does not support text-classification models for sentence-transformers
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