Sentence Similarity
sentence-transformers
Safetensors
Divehi
English
gemma3_text
dhivehi
thaana
maldives
feature-extraction
retrieval
embeddinggemma
text-embeddings-inference
Instructions to use nau-ai/Nau-Embed-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nau-ai/Nau-Embed-1.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nau-ai/Nau-Embed-1.0") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
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This repository is publicly accessible, but you have to accept the conditions to access its files and content.
Nau Embed is licensed under CC BY-NC-SA 4.0 and is also subject to Google's Gemma Terms of Use, because it is built on EmbeddingGemma. Non-commercial use is free: credit Nau and share anything you build from it under the same licence. Commercial use, including running it inside a paid product or service, needs a separate commercial licence from the Nau authors; ask by opening a discussion titled "Commercial licence" on this repository.
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