Rostlab/prot_bert_bfd
A pretrained language model on protein sequences using a masked language modeling objective. It achieved high scores on various downstream tasks such as secondary structure prediction and localization. The model was trained on a large corpus of protein sequences in a self-supervised fashion, without human labeling, using a combination of a Bert model and a vocabulary size of 21.
A pretrained language model on protein sequences using a masked language modeling objective. It achieved high scores on various downstream tasks such as secondary structure prediction and localization. The model was trained on a large corpus of protein sequences in a self-supervised fashion, without human labeling, using a combination of a Bert model and a vocabulary size of 21.
Input
text prompt, should include exactly one [MASK] token
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Output
where is my father? (0.09)
where is my mother? (0.08)
