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# TSjB/labse-krc
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It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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(2): Dense({'in_features': 768, 'out_features': 768, 'bias': True, 'activation_function': 'torch.nn.modules.activation.Tanh'})
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(3): Normalize()
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)
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```
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## Citing & Authors
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[Bogdan Tewunalany](https://t.me/bogdan_tewunalany), [Ali Berberov](https://t.me/ali_bulat1990)
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# TSjB/labse-krc
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It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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Fine-tined by [Bogdan Tewunalany](https://t.me/bogdan_tewunalany)
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Based on [LaBSE](https://huggingface.co/sentence-transformers/LaBSE)
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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(2): Dense({'in_features': 768, 'out_features': 768, 'bias': True, 'activation_function': 'torch.nn.modules.activation.Tanh'})
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(3): Normalize()
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)
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```
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