Vertex AI express mode 免費體驗 Vertex AI

體驗 Vertex AI 只需要 Google 帳號

這次 Vertex AI in express mode，連信用卡資訊都不用填，只需要 Google 帳號就可以使用 Vertex AI in express mode。

不過要注意幾個方案的些微差異:

• Vertex AI express mode: 90 天使用, 基本的 GenAI services, Data sources 只有 Google Drive. 沒有 SLA

• Vertex AI express mode with billing: 使用時間無限制, 增加部份的 Vertex AI and Google Cloud services, Data sources: Google Drive, Web, Youtute

• Vertex AI: 全功能

還有 Available models, rate limits 也會不太一樣。

來看一下怎麼申請吧!

1. 點選這個網址: https://cloud.google.com/generative-ai-studio?hl=en . `Try it free` on Vertex AI Studio (前提是你的 Google 帳號還沒有 Google cloud project or billing account)

   1. 記得，記得選網頁最下方這個，其他按鈕都會轉到要你填 Billing account

      

2. 免費版本 快速體驗版本的 Vertex AI 打開了！

   

3. 改用 API key 方式，先點右上方的 Get Code，點一下 Show Key

   

4. 結果

   1. 

5. Code snippet

   from google import genai
   from google.genai import types
   import base64
   import os
   
   def generate():
     client = genai.Client(
         vertexai=True,
         api_key=os.environ.get("GOOGLE_CLOUD_API_KEY"),
     )
   
   
     # model = "gemini-2.0-flash-001"
     model = "gemini-1.5-pro-002"
     contents = [
       types.Content(
         role="user",
         parts=[
           types.Part.from_text(text="""Write a poem for Gemini 2.0""")
         ]
       )
     ]
     generate_content_config = types.GenerateContentConfig(
       temperature = 1,
       top_p = 0.95,
       max_output_tokens = 8192,
       response_modalities = ["TEXT"],
       safety_settings = [types.SafetySetting(
         category="HARM_CATEGORY_HATE_SPEECH",
         threshold="OFF"
       ),types.SafetySetting(
         category="HARM_CATEGORY_DANGEROUS_CONTENT",
         threshold="OFF"
       ),types.SafetySetting(
         category="HARM_CATEGORY_SEXUALLY_EXPLICIT",
         threshold="OFF"
       ),types.SafetySetting(
         category="HARM_CATEGORY_HARASSMENT",
         threshold="OFF"
       )],
     )
   
     for chunk in client.models.generate_content_stream(
       model = model,
       contents = contents,
       config = generate_content_config,
       ):
       print(chunk.text, end="")
   
   generate()