Listar os modelos ajustados para LLMs da Vertex (IA generativa)
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Um exemplo de código que demonstra como receber uma lista dos modelos ajustados para LLMs da Vertex
Exemplo de código
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[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],[],[],[],null,["# List the tuned models for Vertex LLMs (Generative AI)\n\nA code sample demonstrating how to get a list of the tuned models for Vertex LLMs\n\nCode sample\n-----------\n\n### Java\n\n\nBefore trying this sample, follow the Java setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Java API\nreference documentation](/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ListModelsRequest.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.LocationName.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.Model.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.html.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsPagedResponse.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceSettings.html;\n import java.io.IOException;\n\n public class ListTunedModelsSample {\n\n public static void main(String[] args) throws IOException {\n // TODO(developer): Replace this variable before running the sample.\n String project = \"YOUR_PROJECT_ID\";\n\n String location = \"us-central1\";\n String model = \"text-bison@001\";\n\n listTunedModelsSample(project, location, model);\n }\n\n // List tuned models for a large language model\n public static void listTunedModelsSample(String project, String location, String model)\n throws IOException {\n final String endpoint = String.format(\"%s-aiplatform.googleapis.com:443\", location);\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceSettings.html modelServiceSettings =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceSettings.html.newBuilder().setEndpoint(endpoint).build();\n\n // Initialize client that will be used to send requests. This client only needs to be created\n // once, and can be reused for multiple requests.\n try (https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.html modelServiceClient = https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.html.create(modelServiceSettings)) {\n final String parent = https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.LocationName.html.of(project, location).toString();\n final String filter =\n String.format(\"labels.google-vertex-llm-tuning-base-model-id=%s\", model);\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ListModelsRequest.html request =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ListModelsRequest.html.newBuilder().setParent(parent).setFilter(filter).build();\n\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.ListModelsPagedResponse.html listModelsPagedResponse = modelServiceClient.listModels(request);\n System.out.println(\"List Tuned Models response\");\n for (https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.Model.html element : listModelsPagedResponse.iterateAll()) {\n System.out.format(\"\\tModel Name: %s\\n\", element.getName());\n System.out.format(\"\\tModel Display Name: %s\\n\", element.getDisplayName());\n }\n }\n }\n }\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=aiplatform)."]]