Distilbert Turkish Sentence Similarity

🚀 Model Card for umarigan/distilbert-turkish-sentence-similarity

This model is designed for sentence similarity tasks, trained on Turkish datasets to provide accurate semantic understanding.

🚀 Quick Start

To start using this model, you first need to install the necessary libraries.

pip install -U sentence-transformers

💻 Usage Examples

Basic Usage

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("umarigan/distilbert-turkish-sentence-similarity")
# Run inference
sentences = [
    'Bu yıl tatile Antalya'ya gideceğiz.',
    'Yazın Antalya'da tatil yapacağız.'
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [2, 768]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [2, 2]

📚 Documentation

Model Information