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README.md
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print(sentence_embeddings)
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```
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## Evaluation Results
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For an automated evaluation of SLX-v0.1, please refer to the [Sentence Embeddings Benchmark](https://seb.sbert.net?model_name=brahmairesearch/slx-v0.1).
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## Intended Use Cases
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SLX-v0.1 is designed for encoding sentences and short paragraphs into dense vectors that capture their semantic information. These embeddings can be used for:
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print(sentence_embeddings)
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```
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## Intended Use Cases
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SLX-v0.1 is designed for encoding sentences and short paragraphs into dense vectors that capture their semantic information. These embeddings can be used for:
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