{ | |
"_name_or_path": "facebook/vit-msn-small", | |
"architectures": [ | |
"ViTMSNForImageClassification" | |
], | |
"attention_probs_dropout_prob": 0.0, | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0.0, | |
"hidden_size": 384, | |
"id2label": { | |
"0": "mild_demented", | |
"1": "moderate_demented", | |
"2": "non_demented", | |
"3": "very_mild_demented" | |
}, | |
"image_size": 224, | |
"initializer_range": 0.02, | |
"intermediate_size": 1536, | |
"label2id": { | |
"mild_demented": 0, | |
"moderate_demented": 1, | |
"non_demented": 2, | |
"very_mild_demented": 3 | |
}, | |
"layer_norm_eps": 1e-06, | |
"model_type": "vit_msn", | |
"num_attention_heads": 6, | |
"num_channels": 3, | |
"num_hidden_layers": 12, | |
"patch_size": 16, | |
"problem_type": "single_label_classification", | |
"qkv_bias": true, | |
"torch_dtype": "float32", | |
"transformers_version": "4.40.0" | |
} | |