modeling_resnet.py

import torch
from transformers import PreTrainedModel
from .configuration_resnet import ResinConfig


class ResinModel(PreTrainedModel):
    config_class = ResinConfig

    def __init__(self, config):
        super().__init__(config)
        self.model = torch.nn.Linear(5, 10)

    def forward(self, tensor):
        return self.model.forward_features(tensor)