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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class CountTokensRequest.
Request message for PredictionService.CountTokens .
Generated from protobuf message google.cloud.aiplatform.v1.CountTokensRequest
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ endpoint
string
Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}
↳ instances
array< Google\Protobuf\Value
>
Required. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.
getEndpoint
Required. The name of the Endpoint requested to perform token counting.
Format: projects/{project}/locations/{location}/endpoints/{endpoint}
string
setEndpoint
Required. The name of the Endpoint requested to perform token counting.
Format: projects/{project}/locations/{location}/endpoints/{endpoint}
var
string
$this
getInstances
Required. The instances that are the input to token counting call.
Schema is identical to the prediction schema of the underlying model.
setInstances
Required. The instances that are the input to token counting call.
Schema is identical to the prediction schema of the underlying model.
$this
static::build
endpoint
string
Required. The name of the Endpoint requested to perform token counting.
Format: projects/{project}/locations/{location}/endpoints/{endpoint}
Please see Google\Cloud\AIPlatform\V1\LlmUtilityServiceClient::endpointName()
for help formatting this field.
instances
array< Google\Protobuf\Value
>
Required. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.
