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chore: format
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@@ -4,7 +4,8 @@ use ndarray::{s, Array1, Array2, Axis, Ix2};
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use ort::{CUDAExecutionProvider, GraphOptimizationLevel, Session};
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use tokenizers::Tokenizer;
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/// Example usage of a text embedding model like Sentence Transformers' `all-mini-lm-l6` model for semantic textual similarity.
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/// Example usage of a text embedding model like Sentence Transformers' `all-mini-lm-l6` model for semantic textual
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/// similarity.
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///
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/// Text embedding models map sentences & paragraphs to an n-dimensional dense vector space, which can then be used for
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/// tasks like clustering or semantic search.
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