Feature Extraction
sentence-transformers
Safetensors
Arabic
eurobert
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
EuroBert
Arabic
custom_code
Eval Results (legacy)
Instructions to use Omartificial-Intelligence-Space/AraEuroBert-210M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Omartificial-Intelligence-Space/AraEuroBert-210M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Omartificial-Intelligence-Space/AraEuroBert-210M", 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
- Xet hash:
- 091df518e53d020a4aad5dbacea97f768d6f154724c80b7f422ecb65547d5406
- Size of remote file:
- 5.69 kB
- SHA256:
- 1f5320980652674c6c47410572ffcaee17d0d3f58ad8b7885b2f2a4ad9861168
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