Sentence Similarity
sentence-transformers
Safetensors
Arabic
bert
feature-extraction
Generated from Trainer
dataset_size:550000
loss:Matryoshka2dLoss
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use akhooli/sbert_nli_test_m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use akhooli/sbert_nli_test_m with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("akhooli/sbert_nli_test_m") sentences = [ "كم فدان بحيرة رونكونكوما", "أبعاد بحيرة Ronkonkoma - تختلف من 215 فدانًا عندما يكون هناك جفاف إلى 275 فدانًا عندما تكون هناك ظروف غمرتها المياه. - متوسط العمق 14.5 قدم. - أعمق أعماق 45 قدم. و 90 قدمًا. في المناطق الجنوبية الغربية.", "يقع Alpine Lake Resort في أعالي جبال West Virginia Alleghenies ، على بعد 25 دقيقة فقط من مناطق الجذب السياحي Deep Creek Lake وساعة واحدة من Morgantown WV ، ويقع على مساحة 2000 فدان مشجرة بكثافة مع ملعب غولف من 18 حفرة حائز على جوائز وبحيرة نقية مساحتها 150 فدانًا تغذيها الينابيع والجداول الجبلية كنقطة محورية للمنتجع.", "إجابة جيكم يونغ. صوت الثقة 36.1 ألف. مايكل دي هيغينز هو رئيس أيرلندا. تم انتخابه كرئيس 9th لأيرلندا وتولى منصبه في 11 نوفمبر 2011 لمدة 7 سنوات ، وبالتالي يجب أن يظل في منصبه حتى نوفمبر 2018." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Commit ·
dd08949
verified ·
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- README.md +3 -0
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---
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license: mit
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---
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