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pollfly
2025-02-09 19:46:40 +02:00
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docs/clearml_serving/clearml_serving.md
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@@ -16,7 +16,7 @@ solution.
* Flexible
* On-line model deployment
* On-line endpoint model/version deployment (i.e. no need to take the service down)
* Per model standalone preprocessing and postprocessing python code
* Per model standalone preprocessing and postprocessing Python code
* Scalable
* Multi model per container
* Multi models per serving service

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docs/clearml_serving/clearml_serving_tutorial.md
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@@ -84,7 +84,7 @@ project (default: "DevOps" project).
## Registering and Deploying New Models Manually
Uploading an existing model file into the model repository can be done via the `clearml` RestAPI, the python interface,
Uploading an existing model file into the model repository can be done via the `clearml` RestAPI, the Python interface,
or with the `clearml-serving` CLI.
1. Upload the model file to the `clearml-server` file storage and register it. The `--path` parameter is used to input