You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -523,7 +523,7 @@ In this section we deploy the FastAI trained Scene Segmentation PyTorch model wi
523
523
524
524
### Getting Started with Amazon SageMaker Endpoint
525
525
526
-
There are 4 steps to setup an SageMaker Endpoint with TorchServe:
526
+
There are 4 steps to setup a SageMaker Endpoint with TorchServe:
527
527
528
528
1. Build customized Docker Image and push to Amazon Elastic Container Registry (ECR). The dockerfile is provided in root of this code repository, which helps setup FastAI and TorchServe dependencies.
529
529
2. Compress `*.mar` into `*.tar.gz` and upload to Amazon Simple Storage Service (S3).
0 commit comments