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  ## Model description
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- [cdsBERT](https://doi.org/10.1101/2023.09.15.558027) is pLM with a codon vocabulary that was seeded with [ProtBERT](https://huggingface.co/Rostlab/prot_bert_bfd) and trained with a novel vocabulary extension pipeline called MELD. cdsBERT offers a highly biologically relevant latent space with excellent EC number prediction.
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  Specifically, this is the full-precision checkpoint after the MLM objective on 4 million CDS examples.
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  ## How to use
 
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  ## Model description
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+ [cdsBERT](https://doi.org/10.1101/2023.09.15.558027) is a pLM with a codon vocabulary that was seeded with [ProtBERT](https://huggingface.co/Rostlab/prot_bert_bfd) and trained with a novel vocabulary extension pipeline called MELD. cdsBERT offers a highly biologically relevant latent space with excellent EC number prediction.
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  Specifically, this is the full-precision checkpoint after the MLM objective on 4 million CDS examples.
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  ## How to use