Sentence Similarity
sentence-transformers
Safetensors
Russian
English
bert
feature-extraction
text-embeddings-inference
Instructions to use dima-does-code/LaBSE-geonames-15K-MBML-5e-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dima-does-code/LaBSE-geonames-15K-MBML-5e-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dima-does-code/LaBSE-geonames-15K-MBML-5e-v2") sentences = [ "Kashtana", "Astana", "Kustanay", "Yerevan" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 461 Bytes
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"name": "0",
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{
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