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  This is a Parameter Efficient Fine Tuning (PEFT) Low Rank Adaptation (LoRA) of
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  the [esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) model for the (binary) token classification task of
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- predicting RNA binding sites of proteins. The Github can be with the training script and conda env YAML can be
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  [found here](https://github.com/Amelie-Schreiber/esm2_LoRA_binding_sites/tree/main). You can also find a version of this model
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  that was fine-tuned without LoRA [here](https://huggingface.co/AmelieSchreiber/esm2_t6_8M_UR50D_rna_binding_site_predictor).
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  This is a Parameter Efficient Fine Tuning (PEFT) Low Rank Adaptation (LoRA) of
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  the [esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) model for the (binary) token classification task of
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+ predicting RNA binding sites of proteins. The Github with the training script and conda env YAML can be
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  [found here](https://github.com/Amelie-Schreiber/esm2_LoRA_binding_sites/tree/main). You can also find a version of this model
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  that was fine-tuned without LoRA [here](https://huggingface.co/AmelieSchreiber/esm2_t6_8M_UR50D_rna_binding_site_predictor).
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