What is TensorFlow Serving API versioning?
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What is TensorFlow Serving API versioning?
TensorFlow Serving API versioning allows you to manage different versions of your models seamlessly. It helps in deploying updates without downtime.
How do I implement versioning in TensorFlow Serving?
You can implement versioning by specifying the model version in the model configuration file and using the REST API to serve specific versions.
Can I roll back to a previous version if needed?
Yes, you can roll back to a previous version by directing requests to the older model version using the API.
What are the benefits of using versioning?
Versioning allows for safer updates, A/B testing, and easier management of multiple model iterations.
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