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sayakpaul / ml-deployment-k8s-fastapi

This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
https://medium.com/google-developer-experts/load-testing-tensorflow-serving-and-fastapi-on-gke-411bc14d96b2
Apache License 2.0
198 stars 36 forks source link

Deployment on GKE with GitHub Actions #23

Closed sayakpaul closed 2 years ago

sayakpaul commented 2 years ago

Closes https://github.com/sayakpaul/ml-deployment-k8s-fastapi/issues/5, https://github.com/sayakpaul/ml-deployment-k8s-fastapi/issues/7, and https://github.com/sayakpaul/ml-deployment-k8s-fastapi/issues/6.

deep-diver commented 2 years ago

So the Github Action is tested successfully?

sayakpaul commented 2 years ago

Yes. For the next steps, let's discuss the existing issues created latest?