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Update as per comments README.md

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ai/model-serving-tensorflow/README.md
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# TensorFlow Model Serving on Kubernetes # TensorFlow Model Serving on Kubernetes
## 🎯 Purpose / What You'll Learn ## 1 Purpose / What You'll Learn
This example demonstrates how to deploy a TensorFlow model for inference using [TensorFlow Serving](https://www.tensorflow.org/serving) on Kubernetes. You’ll learn how to: This example demonstrates how to deploy a TensorFlow model for inference using [TensorFlow Serving](https://www.tensorflow.org/serving) on Kubernetes. You’ll learn how to:
@ -47,7 +47,7 @@ kubectl apply -f https://raw.githubusercontent.com/kubernetes/examples/refs/head
--- ---
## 🧩 Explanation on PVC ## 2. Expose the Servic
### 1. PersistentVolume & PVC Setup ### 1. PersistentVolume & PVC Setup
@ -73,7 +73,7 @@ Update the `host` value in `ingress.yaml` to match your domain.
--- ---
## ✅ Verification / Seeing it Work ## 3 Verification / Seeing it Work
If using ingress: If using ingress:
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```bash ```bash
kubectl get pods kubectl get pods
kubectl logs <tf-serving-pod-name> kubectl wait --for=condition=Available deployment/tf-serving --timeout=300s
kubectl logs deployment/tf-serving
``` ```
--- ---
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--- ---
## 📘 Further Reading / Next Steps ## 4 Further Reading / Next Steps
- [TensorFlow Serving](https://www.tensorflow.org/tfx/serving) - [TensorFlow Serving](https://www.tensorflow.org/tfx/serving)
- [TF Serving REST API Reference](https://www.tensorflow.org/tfx/serving/api_rest) - [TF Serving REST API Reference](https://www.tensorflow.org/tfx/serving/api_rest)