Sentence Similarity
sentence-transformers
Safetensors
Arabic
bert
feature-extraction
matryoshka
arabic
natural-language-inference
nli
arabert
Eval Results (legacy)
text-embeddings-inference
Instructions to use AhmedZaky1/DIMI-embedding-matryoshka-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use AhmedZaky1/DIMI-embedding-matryoshka-arabic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AhmedZaky1/DIMI-embedding-matryoshka-arabic") 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
no GGUF format?
#1 opened over 1 year ago
by
kalle07