Sentence Similarity
sentence-transformers
Safetensors
English
embedding_gemma2
feature-extraction
gemma
embeddinggemma
embeddinggemma-2
matryoshka
mrl
google
Instructions to use Anshulgada/embeddinggemma-2-440m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Anshulgada/embeddinggemma-2-440m with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Anshulgada/embeddinggemma-2-440m") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K
feat: upload Anshulgada/embeddinggemma-2-440m model weights and comprehensive model card
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