gemini_api_key = os.environ["GEMINI_API_KEY"] genai.configure(api_key = gemini_api_key) 使用Gemini Pro 设置好API密钥后,使用Gemini Pro模型生成内容就很简单。向‘generate_content’函数提供一个提示,将输出显示为Markdown。 复制 from IPython.display import Markdown model = genai.GenerativeModel('ge...
importgoogle.generativeaiasgenaiimportPIL.ImageGOOGLE_API_KEY='API_Key'genai.configure(api_key=GOOGLE_API_KEY)model=genai.GenerativeModel('gemini-pro-vision')img=PIL.Image.open('cat.jpg')response=model.generate_content(img)print(response.text) 成功得到结果A black and white cat is sitting on a ...
[3]如何免费访问和使用双子座 API:https://www.kdnuggets.com/how-to-access-and-use-gemini-api-for-free [4]双子座 API:https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/gemini
There are so many advanced functions that we didn't cover in this introductory tutorial. You can learn more about the Gemini API by going to theGemini API: Quickstart with Python. In this tutorial, we have learned about Gemini and how to access the Python API to generate responses. In par...
最新模型已上新上deepseek-v3-0324 、deepseek-v3-search 、gemini-2.5-pro-exp-03-25、gpt-4o-image、 mistral-large-latest、mistral-small-latest、gemini-2.0-flash-lite、gpt-4.5-preview、gpt-4.5-preview-2025-02-27、claude 3.7 sonnet、grok3、o3-mini-all、o3-mini-high-all、deepseek-r1、gemini...
Gemini's Free Tier API Tutorial Hey all! Just made a notebook that provides a beginner-friendly introduction to Google's Gemini API - Free Tier. It goes from the very basics of setting up, to the usage of Gemini for multimodal tasks, namely:Vision...
pafonso · 1h ago· 16 views arrow_drop_up0 Copy & Edit1 more_vert Gemini Free API TutorialNotebookInputOutputLogsComments (0)Output Data An error occurred: Unexpected end of JSON input Download notebook output navigate_nextminimize content_copyhelpSyntaxError: Unexpected end of JSON input...
genai.configure(api_key = gemini_api_key) 1. 2. 3. 4. 5. 使用Gemini Pro 设置好API密钥后,使用Gemini Pro模型生成内容就很简单。向‘generate_content’函数提供一个提示,将输出显示为Markdown。 复制 from IPython.display import Markdown model = genai.GenerativeModel('gemini-pro') ...
使用Gemini Pro 设置好API密钥后,使用Gemini Pro模型生成内容就很简单。向‘generate_content’函数提供一个提示,将输出显示为Markdown。 from IPython.display import Markdown model = genai.GenerativeModel('gemini-pro') response = model.generate_content("Who is the GOAT in the NBA?") ...
Gemini 模型的 Live API 现已推出预览版,旨在帮助开发者构建更强大、可扩展的应用,显著提升速率限制。开发者现在即可通过 Google AI Studio和Vertex AI中的Gemini API抢先体验前沿功能。 Google AI Studio https://aistudio.google.com/app/live Vertex AI https://console.cloud.google.com/freetrial?redirectPath=...