{ | |
"_name_or_path": "google/vit-base-patch16-224", | |
"architectures": [ | |
"ViTForImageClassification" | |
], | |
"attention_probs_dropout_prob": 0.0, | |
"encoder_stride": 16, | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0.0, | |
"hidden_size": 768, | |
"id2label": { | |
"0": "LABEL_0", | |
"1": "LABEL_1", | |
"2": "LABEL_2", | |
"3": "LABEL_3", | |
"4": "LABEL_4", | |
"5": "LABEL_5", | |
"6": "LABEL_6" | |
}, | |
"image_size": 224, | |
"initializer_range": 0.02, | |
"intermediate_size": 3072, | |
"label2id": { | |
"LABEL_0": 0, | |
"LABEL_1": 1, | |
"LABEL_2": 2, | |
"LABEL_3": 3, | |
"LABEL_4": 4, | |
"LABEL_5": 5, | |
"LABEL_6": 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": "multi_label_classification", | |
"qkv_bias": true, | |
"torch_dtype": "float32", | |
"transformers_version": "4.40.0" | |
} | |