oci_ai_language_model

This resource provides the Model resource in Oracle Cloud Infrastructure Ai Language service.

Creates a new model for training and train the model with date provided.

Example Usage

resource "oci_ai_language_model" "test_model" {
    #Required
    compartment_id = var.compartment_id
    model_details {
        #Required
        model_type = var.model_model_details_model_type

        #Optional
        classification_mode {
            #Required
            classification_mode = var.model_model_details_classification_mode_classification_mode

            #Optional
            version = var.model_model_details_classification_mode_version
        }
        language_code = var.model_model_details_language_code
        version = var.model_model_details_version
    }
    project_id = oci_ai_language_project.test_project.id

    #Optional
    defined_tags = {"foo-namespace.bar-key"= "value"}
    description = var.model_description
    display_name = var.model_display_name
    freeform_tags = {"bar-key"= "value"}
    test_strategy {
        #Required
        strategy_type = var.model_test_strategy_strategy_type
        testing_dataset {
            #Required
            dataset_type = var.model_test_strategy_testing_dataset_dataset_type

            #Optional
            dataset_id = oci_data_labeling_service_dataset.test_dataset.id
            location_details {
                #Required
                bucket = var.model_test_strategy_testing_dataset_location_details_bucket
                location_type = var.model_test_strategy_testing_dataset_location_details_location_type
                namespace = var.model_test_strategy_testing_dataset_location_details_namespace
                object_names = var.model_test_strategy_testing_dataset_location_details_object_names
            }
        }

        #Optional
        validation_dataset {
            #Required
            dataset_type = var.model_test_strategy_validation_dataset_dataset_type

            #Optional
            dataset_id = oci_data_labeling_service_dataset.test_dataset.id
            location_details {
                #Required
                bucket = var.model_test_strategy_validation_dataset_location_details_bucket
                location_type = var.model_test_strategy_validation_dataset_location_details_location_type
                namespace = var.model_test_strategy_validation_dataset_location_details_namespace
                object_names = var.model_test_strategy_validation_dataset_location_details_object_names
            }
        }
    }
    training_dataset {
        #Required
        dataset_type = var.model_training_dataset_dataset_type

        #Optional
        dataset_id = oci_data_labeling_service_dataset.test_dataset.id
        location_details {
            #Required
            bucket = var.model_training_dataset_location_details_bucket
            location_type = var.model_training_dataset_location_details_location_type
            namespace = var.model_training_dataset_location_details_namespace
            object_names = var.model_training_dataset_location_details_object_names
        }
    }
}

Argument Reference

The following arguments are supported:

* IMPORTANT * Any change to a property that does not support update will force the destruction and recreation of the resource with the new property values

Attributes Reference

The following attributes are exported:

Timeouts

The timeouts block allows you to specify timeouts for certain operations: * create - (Defaults to 20 minutes), when creating the Model * update - (Defaults to 20 minutes), when updating the Model * delete - (Defaults to 20 minutes), when destroying the Model

Import

Models can be imported using the id, e.g.

$ terraform import oci_ai_language_model.test_model "id"