modeling_fake_custom.py

from transformers import GPT2Model, GPT2LMHeadModel
from .configuration_fake_custom import FakeCustomConfig

class FakeCustomModel(GPT2Model):
    _auto_class = "AutoModel"
    config_class = FakeCustomConfig


class FakeCustomModelForCausalLM(GPT2LMHeadModel):
    _auto_class = "AutoModelForCausalLM"
    config_class = FakeCustomConfig