SagemakerEndpointCrossEncoder#

class langchain_community.cross_encoders.sagemaker_endpoint.SagemakerEndpointCrossEncoder[source]#

Bases: BaseModel, BaseCrossEncoder

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

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

param content_handler: CrossEncoderContentHandler = <langchain_community.cross_encoders.sagemaker_endpoint.CrossEncoderContentHandler object>#

param credentials_profile_name: str | None = None#: 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

param endpoint_kwargs: Dict | None = None#: 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>

param endpoint_name: str = ''#: The name of the endpoint from the deployed Sagemaker model. Must be unique within an AWS Region.

param model_kwargs: Dict | None = None#: Keyword arguments to pass to the model.

param region_name: str = ''#: The aws region where the Sagemaker model is deployed, eg. us-west-2.

score(text_pairs: List[Tuple[str, str]]) → List[float][source]#

Call out to SageMaker Inference CrossEncoder endpoint.