Interface DeployRequestOrBuilder (3.77.0)

public interface DeployRequestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getArtifactsCase()

public abstract DeployRequest.ArtifactsCase getArtifactsCase()

Returns
Type	Description
DeployRequest.ArtifactsCase

getCustomModel()

public abstract DeployRequest.CustomModel getCustomModel()

The custom model to deploy from a Google Cloud Storage URI.

.google.cloud.aiplatform.v1beta1.DeployRequest.CustomModel custom_model = 3;

Returns
Type	Description
DeployRequest.CustomModel	The customModel.

getCustomModelOrBuilder()

public abstract DeployRequest.CustomModelOrBuilder getCustomModelOrBuilder()

The custom model to deploy from a Google Cloud Storage URI.

.google.cloud.aiplatform.v1beta1.DeployRequest.CustomModel custom_model = 3;

Returns
Type	Description
DeployRequest.CustomModelOrBuilder

getDeployConfig()

public abstract DeployRequest.DeployConfig getDeployConfig()

Optional. The deploy config to use for the deployment. If not specified, the default deploy config will be used.

.google.cloud.aiplatform.v1beta1.DeployRequest.DeployConfig deploy_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
DeployRequest.DeployConfig	The deployConfig.

getDeployConfigOrBuilder()

public abstract DeployRequest.DeployConfigOrBuilder getDeployConfigOrBuilder()

Optional. The deploy config to use for the deployment. If not specified, the default deploy config will be used.

.google.cloud.aiplatform.v1beta1.DeployRequest.DeployConfig deploy_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
DeployRequest.DeployConfigOrBuilder

getDestination()

public abstract String getDestination()

Required. The resource name of the Location to deploy the model in. Format: projects/{project}/locations/{location}

string destination = 4 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type	Description
String	The destination.

getDestinationBytes()

public abstract ByteString getDestinationBytes()

Required. The resource name of the Location to deploy the model in. Format: projects/{project}/locations/{location}

string destination = 4 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type	Description
ByteString	The bytes for destination.

getEndpointConfig()

public abstract DeployRequest.EndpointConfig getEndpointConfig()

Optional. The endpoint config to use for the deployment. If not specified, the default endpoint config will be used.

.google.cloud.aiplatform.v1beta1.DeployRequest.EndpointConfig endpoint_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
DeployRequest.EndpointConfig	The endpointConfig.

getEndpointConfigOrBuilder()

public abstract DeployRequest.EndpointConfigOrBuilder getEndpointConfigOrBuilder()

Optional. The endpoint config to use for the deployment. If not specified, the default endpoint config will be used.

.google.cloud.aiplatform.v1beta1.DeployRequest.EndpointConfig endpoint_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
DeployRequest.EndpointConfigOrBuilder

getHuggingFaceModelId()

public abstract String getHuggingFaceModelId()

The Hugging Face model to deploy. Format: Hugging Face model ID like google/gemma-2-2b-it.

string hugging_face_model_id = 2;

Returns
Type	Description
String	The huggingFaceModelId.

getHuggingFaceModelIdBytes()

public abstract ByteString getHuggingFaceModelIdBytes()

The Hugging Face model to deploy. Format: Hugging Face model ID like google/gemma-2-2b-it.

string hugging_face_model_id = 2;

Returns
Type	Description
ByteString	The bytes for huggingFaceModelId.

getModelConfig()

public abstract DeployRequest.ModelConfig getModelConfig()

Optional. The model config to use for the deployment. If not specified, the default model config will be used.

.google.cloud.aiplatform.v1beta1.DeployRequest.ModelConfig model_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
DeployRequest.ModelConfig	The modelConfig.

getModelConfigOrBuilder()

public abstract DeployRequest.ModelConfigOrBuilder getModelConfigOrBuilder()

Optional. The model config to use for the deployment. If not specified, the default model config will be used.

.google.cloud.aiplatform.v1beta1.DeployRequest.ModelConfig model_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
DeployRequest.ModelConfigOrBuilder

getPublisherModelName()

public abstract String getPublisherModelName()

The Model Garden model to deploy. Format: publishers/{publisher}/models/{publisher_model}@{version_id}, or publishers/hf-{hugging-face-author}/models/{hugging-face-model-name}@001.

string publisher_model_name = 1 [(.google.api.resource_reference) = { ... }

Returns
Type	Description
String	The publisherModelName.

getPublisherModelNameBytes()

public abstract ByteString getPublisherModelNameBytes()

The Model Garden model to deploy. Format: publishers/{publisher}/models/{publisher_model}@{version_id}, or publishers/hf-{hugging-face-author}/models/{hugging-face-model-name}@001.

string publisher_model_name = 1 [(.google.api.resource_reference) = { ... }

Returns
Type	Description
ByteString	The bytes for publisherModelName.

hasCustomModel()

public abstract boolean hasCustomModel()

The custom model to deploy from a Google Cloud Storage URI.

.google.cloud.aiplatform.v1beta1.DeployRequest.CustomModel custom_model = 3;

Returns
Type	Description
boolean	Whether the customModel field is set.

hasDeployConfig()

public abstract boolean hasDeployConfig()

Optional. The deploy config to use for the deployment. If not specified, the default deploy config will be used.

.google.cloud.aiplatform.v1beta1.DeployRequest.DeployConfig deploy_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the deployConfig field is set.

hasEndpointConfig()

public abstract boolean hasEndpointConfig()

Optional. The endpoint config to use for the deployment. If not specified, the default endpoint config will be used.

.google.cloud.aiplatform.v1beta1.DeployRequest.EndpointConfig endpoint_config = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the endpointConfig field is set.

hasHuggingFaceModelId()

public abstract boolean hasHuggingFaceModelId()

The Hugging Face model to deploy. Format: Hugging Face model ID like google/gemma-2-2b-it.

string hugging_face_model_id = 2;

Returns
Type	Description
boolean	Whether the huggingFaceModelId field is set.

hasModelConfig()

public abstract boolean hasModelConfig()

Optional. The model config to use for the deployment. If not specified, the default model config will be used.

.google.cloud.aiplatform.v1beta1.DeployRequest.ModelConfig model_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the modelConfig field is set.

hasPublisherModelName()

public abstract boolean hasPublisherModelName()

The Model Garden model to deploy. Format: publishers/{publisher}/models/{publisher_model}@{version_id}, or publishers/hf-{hugging-face-author}/models/{hugging-face-model-name}@001.

string publisher_model_name = 1 [(.google.api.resource_reference) = { ... }

Returns
Type	Description
boolean	Whether the publisherModelName field is set.