GitHub - secretflow/serving: SecretFlow-Serving is a serving system for privacy-preserving machine learning models.
SecretFlow-Serving is a serving system for privacy-preserving machine learning models.
Serve a model
# Download the Secretflow Serving Docker image docker pull secretflow/serving-anolis8:latest # Start Secretflow Serving container and open the REST API port cd examples docker-compose up -d # Query the model using the predict API curl --location 'http://127.0.0.1:9010/PredictionService/Predict' \ --header 'Content-Type: application/json' \ --data '{ "service_spec": { "id": "test_service_id" }, "fs_params": { "alice": { "query_datas": [ "a" ] }, "bob": { "query_datas": [ "a" ] } } }'
Contribution Guidelines
If you would like to contribute to SecretFlow-Serving, please check Contribution guidelines.
This documentation also contains instructions for build and testing.