Sentence Similarity
sentence-transformers
Safetensors
Arabic
multilingual
gemma3_text
feature-extraction
matryoshka
arabic
mteb
text-embeddings-inference
Instructions to use Omartificial-Intelligence-Space/Harrier-Arabic-Matryoshka-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Omartificial-Intelligence-Space/Harrier-Arabic-Matryoshka-270m with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Omartificial-Intelligence-Space/Harrier-Arabic-Matryoshka-270m") 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
Ctrl+K