# # 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"
# )