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mqtl-classification-using-dnabert-6
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mqtl-classification-using-dnabert-6 / README.md
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:lady_beetle: Repaired some major mistakes, but the model returns accuracy = 50%
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metadata
title: Mqtl Classification Using Dnabert 6
emoji: 👁
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: creativeml-openrail-m

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

TODOS:

https://github.com/jerryji1993/DNABERT/issues/11#issuecomment-802389446 Based on this comment, we need to split the sequences into 512 length subsequences. Maybe that will give better results from with DNABert 6.