Sentence Similarity
sentence-transformers
Safetensors
modernbert
feature-extraction
Generated from Trainer
dataset_size:5749
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use MucahitSancar/ModernBERT-TR-base-nli-stsb-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use MucahitSancar/ModernBERT-TR-base-nli-stsb-tr with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MucahitSancar/ModernBERT-TR-base-nli-stsb-tr") sentences = [ "Tarihte Bugün, 2 Aralık", "Tarihte Bugün, 23 Nisan", "Penn Traffic hissesi Çarşamba gününün kapanışına göre 2 sent veya yüzde 6,2 artışla Çarşamba gününü 36 sentten kapattı.", "komşu kırgızistan da son yıllarda taliban destekli İslami militanlar tarafından baskınlar yaşadı." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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