Specifica la posizione per accedere al modello

Mantieni tutto organizzato con le raccolte Salva e classifica i contenuti in base alle tue preferenze.

import FirebaseVertexAI

// Initialize the Vertex AI service
// Specify the endpoint location for the model accessed by your requests
let vertex = VertexAI.vertexAI(location: "LOCATION")

// Create a `GenerativeModel` instance with a model that supports your use case
let model = vertex.generativeModel(modelName: "MODEL_NAME")

// Initialize the Vertex AI service
// Specify the endpoint location for the model accessed by your requests
val vertexAI = Firebase.vertexAI(location = "LOCATION")

// Create a `GenerativeModel` instance with a model that supports your use case
val generativeModel = vertexAI.generativeModel(modelName = "MODEL_NAME")

// Initialize the Vertex AI service
// Specify the endpoint location for the model accessed by your requests
FirebaseVertexAI vertexAI = FirebaseVertexAI.getInstance("LOCATION");

// Create a `GenerativeModel` instance with a model that supports your use case
GenerativeModel gm = vertexAI.generativeModel("MODEL_NAME");

// Use the `GenerativeModelFutures` Java compatibility layer which offers
// support for `ListenableFuture` and Publisher APIs
GenerativeModelFutures model = GenerativeModelFutures.from(gm);

import { initializeApp } from "firebase/app";
import { getVertexAI, getGenerativeModel } from "firebase/vertexai";

// TODO(developer) Replace the following with your app's Firebase configuration
// See: https://firebase.google.com/docs/web/learn-more#config-object
const firebaseConfig = {
  // ...
};

// Initialize FirebaseApp
const firebaseApp = initializeApp(firebaseConfig);

// Initialize the Vertex AI service
// Specify the endpoint location for the model accessed by your requests
const vertexAI = getVertexAI(firebaseApp, { location: 'LOCATION' });

// Create a `GenerativeModel` instance with a model that supports your use case
const model = getGenerativeModel(vertexAI, { model: 'MODEL_NAME' });

import 'package:firebase_vertexai/firebase_vertexai.dart';
import 'package:firebase_core/firebase_core.dart';

// Initialize FirebaseApp
await Firebase.initializeApp();

// Initialize the Vertex AI service
// Specify the endpoint location for the model accessed by your requests
final vertexAI = await FirebaseVertexAI.instanceFor(location: 'LOCATION');

// Create a `GenerativeModel` instance with a model that supports your use case
final model = vertexAI.generativeModel(model: 'MODEL_NAME');