Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
Generated from Trainer
dataset_size:128699
loss:MultipleNegativesRankingLoss
Instructions to use leafxyz/main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use leafxyz/main with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("leafxyz/main") sentences = [ "Instruct: Given an Arabic e-commerce search query, retrieve the product that best matches it\nQuery: بسيسة حافظة 500 جرام", "سيلباك مناديل حمام كومفورت - 12رول", "ساعة LONGBO - XC02", "بسيسة حافظة بالمكسرات" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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