Sentence Similarity
sentence-transformers
Safetensors
Gujarati
gemma3_text
trimmed
text-embeddings-inference
Instructions to use alphaedge-ai/embeddinggemma-guj-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/embeddinggemma-guj-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/embeddinggemma-guj-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:
- 2ef7f486cc44a427384524257f053cffdd4aedef2f2e3ce359f32c8628dc067d
- Size of remote file:
- 507 MB
- SHA256:
- 3b9c861a8b7ac785d3a048f18c86a53c2f1ec06c8ab0a546daed1a03d33e2e07
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