configuration_seqscreen.py

from transformers import PretrainedConfig


class SeqScreenConfig(PretrainedConfig):
  model_type = "seqscreen"

  def __init__(
    self,
    prot_dim: int = 2560,
    mol_dim: int = 768,
    proj_dim: int = 512,
    dropout: float = 0.1,
    esm2_model_name: str = "facebook/esm2_t36_3B_UR50D",
    lora_adapter_repo: str = None,
    **kwargs,
  ):
    super().__init__(**kwargs)
    self.prot_dim = prot_dim
    self.mol_dim = mol_dim
    self.proj_dim = proj_dim
    self.dropout = dropout
    self.esm2_model_name = esm2_model_name
    self.lora_adapter_repo = lora_adapter_repo