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#
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This is a [sentence-transformers](https://www.SBERT.net) model: 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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# Icelandic SBERT for Sentence Embedding
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This is a [sentence-transformers](https://www.SBERT.net) model: 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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## Data
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from clarin-is: [unanotated news2 from IGC(RMH)](https://repository.clarin.is/repository/xmlui/handle/20.500.12537/238)
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I figured the most modern and common sentences would appear in the news, so I chose this dataset. For more sophisticated language the books dataset would be better.
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to install the data, run the following command:
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```bash
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curl --remote-name-all https://repository.clarin.is/repository/xmlui/bitstream/handle/20.500.12537/238{/IGC-News2-22.10.TEI.zip}
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```
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## Usage (Sentence-Transformers)
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