CSUMLM / config.json
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{
"model_type": "custom",
"custom_model": {
"module": "path.to.your.custom_module",
"class": "CSUMLMModel",
"config": {
"text_encoder": {
"model_name": "bert-base-uncased",
"pretrained_weights": "path/to/bert-base-uncased"
},
"image_encoder": {
"model_name": "resnet50",
"pretrained_weights": "path/to/resnet50"
},
"audio_encoder": {
"model_name": "wav2vec2-base",
"pretrained_weights": "path/to/wav2vec2-base"
},
"fusion_layer": {
"type": "concatenate",
"output_dim": 1024
},
"output_layer": {
"type": "dense",
"units": 1,
"activation": "sigmoid"
},
"attention_mechanism": {
"traditional_attention": {
"type": "bahdanau"
},
"self_attention": {
"type": "scaled_dot_product"
},
"linear_attention": {
"type": "linear"
}
},
"belief_desire_intent_tree": {
"type": "recursive_neural_network"
}
}
}
}