SageMaker Inference CrossEncoder endpoint.
To use, you must supply the endpoint name from your deployed Sagemaker model & the region where it is deployed.
To authenticate, the AWS client uses the following methods to automatically load credentials: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
If a specific credential profile should be used, you must pass the name of the profile from the ~/.aws/credentials file that is to be used.
Make sure the credentials / roles used have the required policies to access the Sagemaker endpoint. See: https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html
SagemakerEndpointCrossEncoder()The name of the endpoint from the deployed Sagemaker model. Must be unique within an AWS Region.
The aws region where the Sagemaker model is deployed, eg. us-west-2.
The name of the profile in the ~/.aws/credentials or ~/.aws/config files, which has either access keys or role information specified. If not specified, the default credential profile or, if on an EC2 instance, credentials from IMDS will be used. See: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html
Keyword arguments to pass to the model.
Optional attributes passed to the invoke_endpoint
function. See boto3_. docs for more info.
.. _boto3: https://boto3.amazonaws.com/v1/documentation/api/latest/index.html