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from transformers import AlbertConfig, AlbertModel |
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class CustomAlbert(AlbertModel): |
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def forward(self, *args, **kwargs): |
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outputs = super().forward(*args, **kwargs) |
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return outputs.last_hidden_state |
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def load_plbert(): |
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plbert_config = {'vocab_size': 178, 'hidden_size': 768, 'num_attention_heads': 12, 'intermediate_size': 2048, 'max_position_embeddings': 512, 'num_hidden_layers': 12, 'dropout': 0.1} |
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albert_base_configuration = AlbertConfig(**plbert_config) |
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bert = CustomAlbert(albert_base_configuration) |
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return bert |
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