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
File size: 384 Bytes
5383a6a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"__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"
} |