Semantic Emoji Finder thanks to BERT support #5767
astrowonk
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Very cool! |
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I was able to use llama.cpp (via the python bindings) to generate BERT embeddings with relatively little memory (compared to
pytorch
andsentence_transformers
) and allow for multi-word searches in my semantic emoji finder. I think asentence-transformers
version of this web app would use nearly 1GB of RAM; now implemented it's running in less than <200MB.I've deployed the changes on the deployed Dash app.
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