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
| { | |
| "__version__": { | |
| "pytorch": "2.10.0+cu128", | |
| "sentence_transformers": "5.4.1", | |
| "transformers": "5.0.0" | |
| }, | |
| "default_prompt_name": null, | |
| "model_type": "SentenceTransformer", | |
| "prompts": { | |
| "document": "", | |
| "query": "Instruct: Given an Arabic e-commerce search query, retrieve the product that best matches it\nQuery: " | |
| }, | |
| "similarity_fn_name": "cosine" | |
| } |