Sentence Similarity
sentence-transformers
Safetensors
Arabic
English
xlm-roberta
arabic
genre-classification
hierarchical-classification
aragenre-2026
arabicnlp-2026
Eval Results (legacy)
text-embeddings-inference
Instructions to use NAMAA-Space/aragenre-e5-large-mnrl-augmented-defs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use NAMAA-Space/aragenre-e5-large-mnrl-augmented-defs with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NAMAA-Space/aragenre-e5-large-mnrl-augmented-defs") 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
Ctrl+K