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{
"architectures": [
"BERTMultiAttentionModel"
],
"dropout": 0.1,
"hidden_size": 768,
"model_type": "bert-multihead-attention-similarity",
"num_heads": 8,
"rnn_bidirectional": true,
"rnn_hidden_size": 128,
"rnn_num_layers": 2,
"torch_dtype": "float32",
"transformer": "bert-base-uncased",
"transformers_version": "4.37.2"
}