Sentence Similarity
sentence-transformers
Safetensors
Russian
English
multilingual
xlm-roberta
feature-extraction
mteb
e5
contrastive-learning
text-embeddings-inference
Instructions to use olegGerbylev/multilingual-e5-large-finetuned-orders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use olegGerbylev/multilingual-e5-large-finetuned-orders with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("olegGerbylev/multilingual-e5-large-finetuned-orders") 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
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