Sentence Similarity
sentence-transformers
Safetensors
Russian
feature-extraction
static-embeddings
binary
russian
8-bit precision
Instructions to use BorisTM/starse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BorisTM/starse with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BorisTM/starse") sentences = [ "Это счастливый человек", "Это счастливая собака", "Это очень счастливый человек", "Сегодня солнечный день" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "binary_static_embedding.BinaryStaticEmbedding" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Normalize", | |
| "type": "sentence_transformers.models.Normalize" | |
| } | |
| ] |