Sentence Similarity
sentence-transformers
Safetensors
Southern Sotho
gemma3_text
trimmed
text-embeddings-inference
Instructions to use alphaedge-ai/embeddinggemma-sot-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/embeddinggemma-sot-16384 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/embeddinggemma-sot-16384") 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
Download generation_config.json from alphaedge-ai/embeddinggemma-sot-16384: direct link, hf CLI and curl.
- Browser
- Download file 133 Bytes
-
https://huggingface.co/alphaedge-ai/embeddinggemma-sot-16384/resolve/main/generation_config.json
- Command line
-
hf download hf://alphaedge-ai/embeddinggemma-sot-16384/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/alphaedge-ai/embeddinggemma-sot-16384/resolve/main/generation_config.json
133 Bytes
| { | |
| "cache_implementation": "hybrid", | |
| "do_sample": true, | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "4.57.0.dev0" | |
| } | |