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Andras Schmelczer 2026-10-28 12:57:37 +00:00
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docs/how-to-guides/use-service.md
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# How to perform prediction with GreatAI
After [creating a GreatAI service](https://great-ai.scoutinscience.com/how-to-guides/create-service) by wrapping your prediction function, and optionally [configuring it](https://great-ai.scoutinscience.com/how-to-guides/configure-service), it's time to do some prediction.
After [creating a GreatAI service](https://great-ai.schmelczer.dev/how-to-guides/create-service) by wrapping your prediction function, and optionally [configuring it](https://great-ai.schmelczer.dev/how-to-guides/configure-service), it's time to do some prediction.
Let's take the following example:
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CMD ["deploy.ipynb"]
```
Create an `s3.ini` with the S3 keys described in the [configuration guide](https://great-ai.scoutinscience.com/how-to-guides/configure-service/#s3-compatible). Use concrete values in this build configuration: `ENV:` references are resolved inside the build container, which does not inherit your shell's environment. Replace `my-domain-predictor` with the key used when saving your model.
Create an `s3.ini` with the S3 keys described in the [configuration guide](https://great-ai.schmelczer.dev/how-to-guides/configure-service/#s3-compatible). Use concrete values in this build configuration: `ENV:` references are resolved inside the build container, which does not inherit your shell's environment. Replace `my-domain-predictor` with the key used when saving your model.
Keep credentials and any local model cache out of `COPY . .` by adding these entries to your project's `.dockerignore`: