zsxkib/embedding-gemma-300m

Turn any text into 768-dimensional vectors for search, classification, and AI apps 🧠✨

Input
Configure the inputs for the AI model.

Task type - affects the internal prompt used for embedding

Text to embed. Automatically truncated to 2048 tokens if longer.

Whether to L2-normalize the embedding to unit length

Output embedding dimensions using Matryoshka truncation

Output format: base64 (efficient) or array (list of floats)

Output
The generated output will appear here.

No output yet

Click "Generate" to create an output.

embedding-gemma-300m - ikalos.ai