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]
https://huggingface.co/leafxyz/main_v2/resolve/main/1_Pooling/config.json
hf download hf://leafxyz/main_v2/1_Pooling/config.json
curl -L -o config.json https://huggingface.co/leafxyz/main_v2/resolve/main/1_Pooling/config.json
