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12 changes: 0 additions & 12 deletions examples/end_to_end/helmet_object_detection/kserve/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -40,18 +40,6 @@ This step uploads `v1/torchserve/model-store`, `v1/torchserve/config` to MinIO b
# get the endpoint url for MinIO
$ kubectl get svc minio-service -n <your-namespace> -o jsonpath='{.status.loadBalancer.ingress}'
# output is like: [{"ip":"10.105.150.41"}], this IP is used later in the Python script to set AWS_ENDPOINT_URL

# get the secret name for Minio.
$ kubectl get secret -n <your-namespace> | grep minio
# output is: mlpipeline-minio-artifact

# get the access key for MinIO
$ kubectl get secret <minio-secret-name> -n <your-namespace> -o jsonpath='{.data.accesskey}' | base64 -d
# output is: minio

# get the secret key for MinIO
$ kubectl get secret <minio-secret-name> -n <your-namespace> -o jsonpath='{.data.secretkey}' | base64 -d
# output is: minio123
```

You need to install `boto3` dependency package in the notebook server created before, and run the follow python code to upload model files.
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