Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Russian
English
bert
feature-extraction
text-embeddings-inference
Instructions to use dima-does-code/LaBSE-geonames-15K-MBML-5e-v1 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-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dima-does-code/LaBSE-geonames-15K-MBML-5e-v1") sentences = [ "Каштана", "Astana", "Kustanay", "Yerevan" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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