Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:3677
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use afiyarah/finetuned-multilingual-labse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use afiyarah/finetuned-multilingual-labse with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("afiyarah/finetuned-multilingual-labse") sentences = [ "سانت هيلانة", "الشنانة", "هولاندا", "المزاحمية" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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