Strengths3
- Clear, runnable examples for each modality
- Well-documented README with usage instructions
- Covers multiple input types (text, video, image)
Tutorial / Demo · Python
gemini-multimodal-embedding-examples
What it is
This repository provides a set of runnable Python examples that demonstrate how to use the Google Gemini Embedding 2 API to create embeddings for text, video, image, and multimodal inputs, and to perform basic similarity search and description tasks.
Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored
Where it counts
- Machine Learning80%
- NLP & LLMs70%
- Computer Vision40%
- Data Science10%
- MLOps5%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
What the judge found
Read from the project's code at its scored commit.
Limitations
The owner keeps this project's limitations private.
Around it on the Machine Learning board
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- 150, shared rankgemini-multimodal-embedding-examplesTutorial / Demo · Python36.6ExplorationYahya Efe KuruçayMachine Learning
- 152net_prereqEducational Implementation · Jupyter Notebook36.4ExplorationJamesMachine Learning
