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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
## 🎯 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:
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---
## 🧩 Explanation on PVC
## 2. Expose the Servic
### 1. PersistentVolume & PVC Setup
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---
## ✅ Verification / Seeing it Work
## 3 Verification / Seeing it Work
If using ingress:
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```bash
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)
- [TF Serving REST API Reference](https://www.tensorflow.org/tfx/serving/api_rest)