model_avGFP.py

from transformers import PreTrainedModel
from .configuration_avGFP import avGFPConfig
from evo_prot_grad.models import OneHotCNN


class avGFPModel(PreTrainedModel):
    config_class = avGFPConfig

    def __init__(self, config):
        super().__init__(config)
        self.model = OneHotCNN(
            vocab_size=config.vocab_size,
            kernel_size=config.kernel_size,
            input_size=config.input_size
        )

    def forward(self, x):
        return self.model(x)