How to use sayed0am/arabic-english-bge-m3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sayed0am/arabic-english-bge-m3") sentences = [ "هذا شخص سعيد", "هذا كلب سعيد", "هذا شخص سعيد جدا", "اليوم هو يوم مشمس" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/sayed0am/arabic-english-bge-m3/resolve/main/tokenizer.json
hf download hf://sayed0am/arabic-english-bge-m3/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/sayed0am/arabic-english-bge-m3/resolve/main/tokenizer.json
