RNA FM Pre trained model on non coding RNA (ncRNA) using a masked language modeling (MLM) objective. Disclaimer This is an UNOFFICIAL implementation of the Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions by Jiayang Chen, Zhihang Hu, Siqi Sun, et al. The OFFICIAL repository of RNA FM is at ml4bio/RNA FM. [!TIP] The MultiMolecule team has confirmed that the provided model and checkpoints are producing the same intermediate representations as the original implementation. The team releasing RNA FM did not write this model card for this model so this model card has been written by the MultiMolecule team. Model Details RNA FM is a bert style model pre trained on a large corpus of non coding RNA sequences in a self supervised fashion. This means that the model was trained on the raw nucleotides of RNA sequences only, with an automatic process to generate inputs and labels from those texts. Please refer to the Training Details section for more information on the training process. Variants multimolecule/rnafm : The RNA FM model pre trained on non coding RNA sequences. multimolecule/mrnafm : The RNA FM model pre trained on m…
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