Sentence Similarity
sentence-transformers
Safetensors
Arabic
bert
feature-extraction
arabic
embeddings
matryoshka
knowledge-distillation
text-embeddings-inference
Instructions to use masterofaudio2077/Fada_ar_embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use masterofaudio2077/Fada_ar_embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("masterofaudio2077/Fada_ar_embedding") 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
File size: 90 Bytes
7c0556b | 1 2 3 4 5 | {
"embedding_dimension": 768,
"pooling_mode": "mean",
"include_prompt": true
} |