Sentence Similarity
sentence-transformers
Safetensors
Arabic
Persian
xlm-roberta
embeddings
retrieval
arabic
persian
fiqh
islamic-jurisprudence
cross-lingual
bge-m3
text-embeddings-inference
Instructions to use sadiqoon/fiqh-embed-ar-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sadiqoon/fiqh-embed-ar-fa with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sadiqoon/fiqh-embed-ar-fa") 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] - Notebooks
- Google Colab
- Kaggle
File size: 349 Bytes
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