Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
text-embeddings-inference
Eval Results
Instructions to use google/embeddinggemma-300m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use google/embeddinggemma-300m with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("google/embeddinggemma-300m") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Add notebook for "Use this Model" with Google Colab option
#9
by tomaarsen HF Staff - opened
Hello!
Pull Request overview
- Add
notebook.ipynbbased on https://ai.google.dev/gemma/docs/embeddinggemma/inference-embeddinggemma-with-sentence-transformers
Details
In Hugging Face, if a model has a notebook.ipynb file, then it will be used when a user clicks on "Use this model" -> Google Colab:
Otherwise, this default notebook is used:
If this PR is merged, users should be shown the "Generate Embeddings with Sentence Transformers" notebook that you wrote alongside this model release.
- Tom Aarsen
tomaarsen changed pull request status to open
osanseviero changed pull request status to merged

