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README.md
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# Ruri: Japanese General Text Embeddings
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## Usage
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### Direct Usage (Sentence Transformers)
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First install the Sentence Transformers library:
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```bash
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embeddings = model.encode(sentences, convert_to_tensor=True)
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print(embeddings.size())
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# [4,
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similarities = F.cosine_similarity(embeddings.unsqueeze(0), embeddings.unsqueeze(1), dim=2)
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print(similarities)
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# Ruri: Japanese General Text Embeddings
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## Usage
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First install the Sentence Transformers library:
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```bash
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embeddings = model.encode(sentences, convert_to_tensor=True)
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print(embeddings.size())
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# [4, 768]
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similarities = F.cosine_similarity(embeddings.unsqueeze(0), embeddings.unsqueeze(1), dim=2)
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print(similarities)
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