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You can make your Tensorflow model a Docker image by making changes to Dockerfile and deploy Kubernetes.

License: MIT License

Dockerfile 100.00%
docker tensorflow tensorflow-models tensorflow-model-server server docker-image docker-container image dockerfile kubernetes tensorflow-model kubernetes-deployment kubernetes-service kubernetes-controller

tensorflow-model-server-docker-kubernetes's Introduction

Tensorflow Model Server Docker Image

License: MIT

You can make your Tensorflow model a Docker image by making changes to Dockerfile and deploy to Kubernetes.

Details at the Wiki.

Requirement

Install Docker

Install Kubernetes

Creation of Docker Image

1. Step

  • Copy the model file into the 'models' folder.

2. Step

  • Replace MODEL_NAME in Dockerfile with your own model name.

3. Step (This step may take some time!)

  $ docker build -t IMAGE_NAME .

4. Step

  $ docker run -p 8501:8501 IMAGE_NAME

5. Step

  • You can use the url.
  localhost:8501

Deploy Kubernetes

1. Step

  $ cd kubernetesFiles

2. Step

  $ kubectl apply –f deployment.yaml
  $ kubectl apply –f service.yaml

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