Using a pretrained DNA model: frozen embeddings, mean pooling and a labelled classifier
A pretrained DNA model turns a sequence into vectors, usually one per token. To train a sequence classifier, you need to turn those vectors into one representation for each sequence. A useful starting point is to freeze the model, average its token vectors and train a simple classifier using labell…
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- 2026-10-13 14:05 · r/learnmachinelearning
Using a pretrained DNA model: frozen embeddings, mean pooling and a labelled classifier