Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:12990
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use mertincesesli/fups-domain-embedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mertincesesli/fups-domain-embedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mertincesesli/fups-domain-embedder") sentences = [ "Eşleştirilmiş cihazlar ne demek?", "Sanal kart ne amaçla kullanılır?", "Eşleştirilmiş cihaz kavramı neyi ifade eder?", "Uygulamayı hangi versiyondaki cihazlara yükleyebilirim?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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