Sentence Similarity
sentence-transformers
PyTorch
Turkish
turkish-sentence-encoder
sentence-embeddings
feature-extraction
turkish
contrastive-learning
mteb
Eval Results (legacy)
Instructions to use Basar2004/turkish-sentence-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Basar2004/turkish-sentence-encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Basar2004/turkish-sentence-encoder") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
mteb_results/results_summary.json
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{
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"repo_name": "Basar2004/turkish-sentence-encoder",
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"timestamp": "2026-01-
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"tasks": [
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"MassiveIntentClassification",
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"MassiveScenarioClassification",
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{
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"repo_name": "Basar2004/turkish-sentence-encoder",
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"timestamp": "2026-01-19T20:00:21.364365",
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"tasks": [
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"MassiveIntentClassification",
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"MassiveScenarioClassification",
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