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--- |
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library_name: transformers |
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datasets: |
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- umarigan/all_nli_tr |
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language: |
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- tr |
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pipeline_tag: sentence-similarity |
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--- |
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# Model Card for Model ID |
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```bash |
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pip install -U sentence-transformers |
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``` |
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Load the model and run inference. |
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```python |
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from sentence_transformers import SentenceTransformer |
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# Download from the 🤗 Hub |
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model = SentenceTransformer("umarigan/distilbert-turkish-sentence-similarity") |
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# Run inference |
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sentences = [ |
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'Bu yıl tatile Antalya'ya gideceğiz.', |
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'Yazın Antalya'da tatil yapacağız.' |
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] |
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embeddings = model.encode(sentences) |
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print(embeddings.shape) |
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# [2, 768] |
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# Get the similarity scores for the embeddings |
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similarities = model.similarity(embeddings, embeddings) |
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print(similarities.shape) |
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# [2, 2] |
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``` |
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