Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When you create your own Colab notebooks, they are …

Mit Colab-Notebooks können Sie ausführbaren Code und Rich Text in einem einzigen Dokument gemeinsam mit Bildern, HTML, LaTeX und vielem mehr kombinieren. Wenn Sie Ihre eigenen …

To run the following cell, your API key must be stored it in a Colab Secret named GOOGLE_API_KEY. If you don't already have an API key, or you're not sure how to create a …

llama_model_loader: loaded meta data with 38 key-value pairs and 339 tensors from models/Qwen2.5-Coder-7B-Instruct-Q8_0.gguf (version GGUF V3 (latest)) …

Automatic completions and exploring code Colab provides automatic completions to explore attributes of Python objects, as well as to quickly view documentation strings. As an example, …

Les notebooks Colab vous permettent d'utiliser, dans un même document, du code exécutable, du texte enrichi, des images, du code HTML, du code LaTeX et bien plus. Lorsque vous créez …

Notebook Colab mengeksekusi kode di server cloud Google. Artinya, Anda dapat memanfaatkan kecanggihan hardware Google, termasuk GPU dan TPU, terlepas dari kecanggihan komputer …

The Gemini API code execution feature enables the model to generate and run Python code based on plain-text instructions that you give it, and even output graphs.

Using Grounding with Google Search, you can improve the accuracy and recency of responses from the model. Starting with Gemini 2.0, Google Search is available as a tool. This means …

The Gemini API give you multiple ways to ground your requests, including Google search, maps, youtube, and url context. For more details information and examples, check the Grounding …