Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.

Interface Examples.ExampleGcsSourceOrBuilder (1.3.0)

public static interface Examples.ExampleGcsSourceOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getDataFormat()

public abstract Examples.ExampleGcsSource.DataFormat getDataFormat()

The format in which instances are given, if not specified, assume it's JSONL format. Currently only JSONL format is supported.

.google.cloud.vertexai.v1.Examples.ExampleGcsSource.DataFormat data_format = 1;

Returns
Type	Description
`Examples.ExampleGcsSource.DataFormat`	The dataFormat.

getDataFormatValue()

public abstract int getDataFormatValue()

The format in which instances are given, if not specified, assume it's JSONL format. Currently only JSONL format is supported.

.google.cloud.vertexai.v1.Examples.ExampleGcsSource.DataFormat data_format = 1;

Returns
Type	Description
`int`	The enum numeric value on the wire for dataFormat.

getGcsSource()

public abstract GcsSource getGcsSource()

The Cloud Storage location for the input instances.

.google.cloud.vertexai.v1.GcsSource gcs_source = 2;

Returns
Type	Description
`GcsSource`	The gcsSource.

getGcsSourceOrBuilder()

public abstract GcsSourceOrBuilder getGcsSourceOrBuilder()

The Cloud Storage location for the input instances.

.google.cloud.vertexai.v1.GcsSource gcs_source = 2;

Returns
Type	Description
`GcsSourceOrBuilder`

hasGcsSource()

public abstract boolean hasGcsSource()

The Cloud Storage location for the input instances.

.google.cloud.vertexai.v1.GcsSource gcs_source = 2;

Returns
Type	Description
`boolean`	Whether the gcsSource field is set.