Sentence Similarity
sentence-transformers
Safetensors
Kazakh
gemma3_text
trimmed
text-embeddings-inference
Instructions to use alphaedge-ai/embeddinggemma-kaz-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/embeddinggemma-kaz-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/embeddinggemma-kaz-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
Download special_tokens_map.json from alphaedge-ai/embeddinggemma-kaz-32768: direct link, hf CLI and curl.
- Browser
- Download file 585 Bytes
-
https://huggingface.co/alphaedge-ai/embeddinggemma-kaz-32768/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://alphaedge-ai/embeddinggemma-kaz-32768/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/alphaedge-ai/embeddinggemma-kaz-32768/resolve/main/special_tokens_map.json
585 Bytes
| { | |
| "bos_token": { | |
| "content": "<bos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<eos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |