fix?
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gpt2.py
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gpt2.py
@ -68,7 +68,7 @@ class GPT2ClassificationHeadCustom(nn.Module):
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def forward(self, x, **kwargs):
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if 'hidden_states' in kwargs and kwargs['hidden_states'] is not None:
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# Get last 5 hidden states from the end
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hidden = torch.cat(kwargs['hidden_states'][-5:], dim=2)
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hidden = torch.cat(kwargs['hidden_states'][-5:])
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else:
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hidden = torch.zeros(x.size(), dtype=x.dtype, device=x.device)
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