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public interface DeployRequestOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
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. |