Sentence Similarity
sentence-transformers
Safetensors
Asturian
gemma3_text
trimmed
text-embeddings-inference
Instructions to use alphaedge-ai/embeddinggemma-ast-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/embeddinggemma-ast-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/embeddinggemma-ast-32768") 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
- Xet hash:
- d4c6bfa2d443d76d76014fcc2504e98910fda29b97e3f8fc1d8f0c3e523b30af
- Size of remote file:
- 9.44 MB
- SHA256:
- ffb6cc5162e11e2ce6bc2367e121ee3bbbc4e82e1ee26826bd7573d4948d81b8
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