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pip install -U sentence-transformers

Load the model and run inference.

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]
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Model size
67.5M params
Tensor type
F32
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Dataset used to train umarigan/distilbert-turkish-sentence-similarity