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Update Blog “production-ready-object-detection-model-training-workflow-with-hpe-machine-learning-development-environment”
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content/blog/production-ready-object-detection-model-training-workflow-with-hpe-machine-learning-development-environment.md

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@@ -732,7 +732,7 @@ loaded_model = load_model_from_checkpoint(checkpoint)
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Now that we have a checkpoint from our trained object detection model, we can deploy it to Kserve to run inference and predictions.
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# Part 5: Deploying Trained model on Kserve
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# Part 5: Deploying Trained Model on Kserve
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This notebook walks you each step to deploy a custom object detection model on KServe.
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