Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
Generated from Trainer
dataset_size:49500
loss:MultipleNegativesRankingLoss
Instructions to use leafxyz/main_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use leafxyz/main_v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("leafxyz/main_v2") sentences = [ "Instruct: Given an Arabic e-commerce search query, retrieve the product that best matches it\nQuery: عناية بالفم", "تن ريقا بزيت الزيتون 160جم", "Foramen Denture Clean Box", "صبغة شعر L'Oréal Paris - 5.45 Excellence" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c55f862f19af647e2c7ede5641cdd18cf91983c2cf6d4919021a09b33ebd17f
- Size of remote file:
- 11.4 MB
- SHA256:
- 67b23115c7cace3b6700c333da5038e66e95a9c2c71531b6953563a8c8bb1dee
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