chore: import upstream snapshot with attribution
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import torch
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from transformers import PreTrainedModel
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from .custom_configuration import CustomConfig
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class CustomModel(PreTrainedModel):
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config_class = CustomConfig
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def __init__(self, config):
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super().__init__(config)
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self.linear = torch.nn.Linear(config.hidden_size, config.hidden_size)
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self.post_init()
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def forward(self, x):
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return self.linear(x)
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def _init_weights(self, module):
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pass
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