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| transformer_config = tr.XLNetConfig.build( | |
| d_model=64, n_head=4, n_layer=2, total_seq_length=20 | |
| ) | |
| # Define the model block including: inputs, masking and transformer block. | |
| body = tr.SequentialBlock( | |
| input_module, | |
| tr.MLPBlock([128, 64]), | |
| tr.TransformerBlock(transformer_config, masking=inputs.masking) | |
| ) |
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