|
{
|
|
"_attn_implementation_autoset": true,
|
|
"_name_or_path": "andupets/real-estate-image-classification",
|
|
"architectures": [
|
|
"ViTForImageClassification"
|
|
],
|
|
"attention_probs_dropout_prob": 0.0,
|
|
"encoder_stride": 16,
|
|
"hidden_act": "gelu",
|
|
"hidden_dropout_prob": 0.0,
|
|
"hidden_size": 768,
|
|
"id2label": {
|
|
"0": "bathroom",
|
|
"1": "bedroom",
|
|
"2": "dining room",
|
|
"3": "house facade",
|
|
"4": "kitchen",
|
|
"5": "living room",
|
|
"6": "sao paulo apartment facade"
|
|
},
|
|
"image_size": 224,
|
|
"initializer_range": 0.02,
|
|
"intermediate_size": 3072,
|
|
"label2id": {
|
|
"bathroom": "0",
|
|
"bedroom": "1",
|
|
"dining room": "2",
|
|
"house facade": "3",
|
|
"kitchen": "4",
|
|
"living room": "5",
|
|
"sao paulo apartment facade": "6"
|
|
},
|
|
"layer_norm_eps": 1e-12,
|
|
"model_type": "vit",
|
|
"num_attention_heads": 12,
|
|
"num_channels": 3,
|
|
"num_hidden_layers": 12,
|
|
"patch_size": 16,
|
|
"problem_type": "single_label_classification",
|
|
"qkv_bias": true,
|
|
"transformers_version": "4.46.3"
|
|
}
|
|
|