Setup issues with sagemaker endpoint

I’m trying to deploy the LaBSE model from Hugging Face (sentence-transformers/LaBSE · Hugging Face) to AWS SageMaker and use it for embeddings in Weaviate. I have configured Weaviate with the following multi_tenancy settings:

{
  "classes": [
    {
      "class": "BMP",
      "multiTenancyConfig": {"enabled": True},
      "description": "File uploaded",
      "moduleConfig": {
        "text2vec-aws": {
          "name": "title_vector",
          "region": "us-east-1",
          "service": "sagemaker",
          "endpoint": "https://runtime.sagemaker.us-east-1.amazonaws.com/endpoints/hf-labse-st-******/invocations"
        }
      },
      "properties": [
        {
          "name": "fileName",
          "dataType": ["text"],
          "description": "Name of the file"
        },
        {
          "name": "content",
          "dataType": ["text"],
          "description": "The content of the file"
        },
        {
          "name": "source",
          "dataType": ["text"],
          "description": "The source of the uploaded file"
        }
      ],
      "vectorizer": "text2vec-aws"
    }
  ]
}

I am encountering repeated errors in response, specifically:

{'error': [{'message': "unmarshal response body: invalid character '<' looking for beginning of value"}]}

This error appears to occur during the response parsing, possibly due to unexpected response content.

Server Setup Information

• Deployment Method: Docker
• Multi Node? Number of Running Nodes: Single Node
• Client Language and Version: Python, weaviate-client version 4.5.5
• Multitenancy?: Enabled

Any Additional Information

I have double-checked the SageMaker endpoint, and the configuration seems correct based on the Weaviate documentation.

I would appreciate any guidance on resolving this error, as it appears to be related to response parsing from SageMaker.