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.
{"type": enum (Type),"languageCode": string,// Union field source can be only one of the following:"content": string,"gcsContentUri": string// End of list of possible types for union field source.}
Required. If the type is not set or is TYPE_UNSPECIFIED, returns an INVALID_ARGUMENT error.
languageCode
string
Optional. The language of the document (if not specified, the language is automatically detected). Both ISO and BCP-47 language codes are accepted. Language Support lists currently supported languages for each API method. If the language (either specified by the caller or automatically detected) is not supported by the called API method, an INVALID_ARGUMENT error is returned.
Union field source. The source of the document: a string containing the content or a Google Cloud Storage URI. source can be only one of the following:
content
string
The content of the input in string format. Cloud audit logging exempt since it is based on user data.
Finds named entities (currently proper names and common nouns) in the text along with entity types, probability, mentions for each entity, and other properties.