model.py

import torch

from transformers import PreTrainedModel

from .config import AwesomeConfig


class AwesomeModel(PreTrainedModel):
    config_class = AwesomeConfig
    base_model_prefix = "base"

    def __init__(self, config):
        super().__init__(config)
        self.linear = torch.nn.Linear(config.hidden_size, config.hidden_size)

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