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@@ -97,7 +97,7 @@ def test_rerank():
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), f"Model: {model_name}, Scores: {scores}, Expected: {canonical_scores}"
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```
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This rigorous testing process helped ensure that the ONNX models behaved as expected, comparable to models implemented using PyTorch.
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The `CANONICAL_SCORE_VALUES` were retrieved directly from the result of applying the original PyTorch models to the same input
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## Outcomes and Future Improvements
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