Sentence Similarity
sentence-transformers
Safetensors
Arabic
English
xlm-roberta
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use omarelshehy/arabic-english-sts-matryoshka-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use omarelshehy/arabic-english-sts-matryoshka-v2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("omarelshehy/arabic-english-sts-matryoshka-v2.0") 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
missing sentencepiece.bpe.model file
#1
by sayed0am - opened