ModelVersion

using System.Collections.Generic;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var modelVersion = new AzureNative.MachineLearningServices.ModelVersion("modelVersion", new()
    {
        Name = "testContainer",
        Properties = new AzureNative.MachineLearningServices.Inputs.ModelVersionArgs
        {
            DatastoreId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/datastores/datastore123",
            Description = "Model version description",
            Flavors =
            {
                { "python_function", new AzureNative.MachineLearningServices.Inputs.FlavorDataArgs
                {
                    Data =
                    {
                        { "loader_module", "myLoaderModule" },
                    },
                } },
            },
            Path = "path/in/datastore",
            Properties =
            {
                { "prop1", "value1" },
                { "prop2", "value2" },
            },
            Tags =
            {
                { "tag1", "value1" },
                { "tag2", "value2" },
            },
        },
        ResourceGroupName = "testrg123",
        Version = "1",
        WorkspaceName = "workspace123",
    });
});

package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native/sdk/go/azure/machinelearningservices"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewModelVersion(ctx, "modelVersion", &machinelearningservices.ModelVersionArgs{
			Name: pulumi.String("testContainer"),
			Properties: machinelearningservices.ModelVersionResponse{
				DatastoreId: pulumi.String("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/datastores/datastore123"),
				Description: pulumi.String("Model version description"),
				Flavors: machinelearningservices.FlavorDataMap{
					"python_function": &machinelearningservices.FlavorDataArgs{
						Data: pulumi.StringMap{
							"loader_module": pulumi.String("myLoaderModule"),
						},
					},
				},
				Path: pulumi.String("path/in/datastore"),
				Properties: pulumi.StringMap{
					"prop1": pulumi.String("value1"),
					"prop2": pulumi.String("value2"),
				},
				Tags: pulumi.StringMap{
					"tag1": pulumi.String("value1"),
					"tag2": pulumi.String("value2"),
				},
			},
			ResourceGroupName: pulumi.String("testrg123"),
			Version:           pulumi.String("1"),
			WorkspaceName:     pulumi.String("workspace123"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.ModelVersion;
import com.pulumi.azurenative.machinelearningservices.ModelVersionArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var modelVersion = new ModelVersion("modelVersion", ModelVersionArgs.builder()
            .name("testContainer")
            .properties(Map.ofEntries(
                Map.entry("datastoreId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/datastores/datastore123"),
                Map.entry("description", "Model version description"),
                Map.entry("flavors", Map.of("python_function", Map.of("data", Map.of("loader_module", "myLoaderModule")))),
                Map.entry("path", "path/in/datastore"),
                Map.entry("properties", Map.ofEntries(
                    Map.entry("prop1", "value1"),
                    Map.entry("prop2", "value2")
                )),
                Map.entry("tags", Map.ofEntries(
                    Map.entry("tag1", "value1"),
                    Map.entry("tag2", "value2")
                ))
            ))
            .resourceGroupName("testrg123")
            .version("1")
            .workspaceName("workspace123")
            .build());
    }
}

$ pulumi import azure-native:machinelearningservices:ModelVersion 999 /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/models/testContainer/versions/999