| # # convert_model.py | |
| # from optimum.onnxruntime import ORTModelForSequenceClassification | |
| # # Convert and optimize model | |
| # model = ORTModelForSequenceClassification.from_pretrained( | |
| # "Essay-Grader/roberta-ai-detector-20250401_232702", | |
| # export=True, | |
| # provider="CPUExecutionProvider" | |
| # ) | |
| # # Save optimized model | |
| # model.save_pretrained( | |
| # "./optimized_model", | |
| # file_name="model_optimized.onnx" | |
| # ) | |