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![image/png](https://cdn-uploads.huggingface.co/production/uploads/65bbea9a26c639b000501321/uWW6xnJZwQFWDS1QZNQTm.png)
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Masked Diffusion Language Models (MDLMs), introduced by Sahoo et al (arxiv.org/pdf/2406.07524), provide strong generative capabilities to BERT-style models. In this work, we pre-train and fine-tune ESM-2-150M on the MDLM objective to unconditionally
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/65bbea9a26c639b000501321/uWW6xnJZwQFWDS1QZNQTm.png)
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Masked Diffusion Language Models (MDLMs), introduced by Sahoo et al (arxiv.org/pdf/2406.07524), provide strong generative capabilities to BERT-style models. In this work, we pre-train and fine-tune ESM-2-150M on the MDLM objective to scaffold functional motifs while unconditionally generating realistic, high-quality membrane protein sequences.
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