Feature Extraction
sentence-transformers
Safetensors
Arabic
eurobert
sentence-similarity
Generated from Trainer
dataset_size:2280319
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Arabic
EuroBert
Semantic
custom_code
Eval Results (legacy)
Instructions to use Omartificial-Intelligence-Space/AraEuroBert-2.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Omartificial-Intelligence-Space/AraEuroBert-2.1B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Omartificial-Intelligence-Space/AraEuroBert-2.1B", trust_remote_code=True) sentences = [ "امرأة شقراء تطل على مشهد (سياتل سبيس نيدل)", "رجل يستمتع بمناظر جسر البوابة الذهبية", "فتاة بالخارج تلعب في الثلج", "شخص ما يأخذ في نظرة إبرة الفضاء." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K