Sentence Similarity
sentence-transformers
Safetensors
Arabic
new
feature-extraction
Generated from Trainer
dataset_size:100000
loss:MultipleNegativesRankingLoss
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use RamzyBakir/arabic-gte-multilingual-base-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use RamzyBakir/arabic-gte-multilingual-base-100k with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RamzyBakir/arabic-gte-multilingual-base-100k", trust_remote_code=True) sentences = [ "(ساندورو) وقف.", "ما الذي يمكن أن يكون رد فعل ذكي وفعال على هجوم أوري الإرهابي؟", "جون) تقدم)", "(ساندورو روز)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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