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{
"architectures": [
"ResNetForImageClassification"
],
"depths": [
3,
4,
6,
3
],
"downsample_in_first_stage": false,
"embedding_size": 64,
"hidden_act": "relu",
"hidden_sizes": [
256,
512,
1024,
2048
],
"id2label": {
"0": "Batterie",
"1": "Carton",
"2": "Metal",
"3": "Organique",
"4": "Papier",
"5": "Plastique",
"6": "Verre",
"7": "Vetements"
},
"layer_type": "bottleneck",
"model_type": "resnet",
"num_channels": 3,
"torch_dtype": "float32",
"transformers_version": "4.47.0"
} |