pt_custom_model_example / modeling_my_model.py
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from torch import nn
from transformers.modeling_utils import PreTrainedModel
from .configuration_my_model import MyModelConfig
class MyModelPretrainedModel(PreTrainedModel):
config_class = MyModelConfig
class MyModel(MyModelPretrainedModel):
def __init__(self, config: MyModelConfig):
super().__init__(config)
self.config = config
self.n_layers = config.n_layers
self.hidden_dim = config.hidden_dim
self.linear = nn.Linear(config.hidden_dim, config.hidden_dim)