Q&A 9 How do you tag and push your model image to Docker Hub?

9.1 📘 Explanation

Once you’ve built your Docker image locally (e.g., model-api:latest), you can share it with others or deploy it remotely by tagging it with your Docker Hub name and pushing it to your Docker Hub repository.

This makes your image accessible from anywhere using docker pull.

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9.2 Log into Docker Hub

docker login

You’ll be prompted to enter your Docker Hub username and password or Personal Access Token (PAT).

9.3 Tag the image using your Docker Hub username

docker tag model-api your_dockerhub_username/model-api

🔁 Replace your_dockerhub_username with your Docker Hub username.

Example:

docker tag model-api tmbuza/model-api

9.4 Push the image to Docker Hub

docker push your_dockerhub_username/model-api

Example:

docker push tmbuza/model-api

Docker will upload the image layers and confirm when complete.

Confirm image available publicly or privately

Visit your Docker Hub account and check under Repositories.

✅ You (or others) can now pull the image with:

docker pull your_dockerhub_username/model-api

Example:

docker pull tmbuza/model-api

✅ Takeaway: Tagging and pushing your image makes it accessible for deployment, collaboration, or reuse—especially valuable in reproducible ML workflows.