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{
"_name_or_path": "facebook/vit-mae-base",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"decoder_hidden_size": 512,
"decoder_intermediate_size": 2048,
"decoder_num_attention_heads": 16,
"decoder_num_hidden_layers": 8,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "Effusion",
"1": "No Finding"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Effusion": 0,
"No Finding": 1
},
"layer_norm_eps": 1e-12,
"mask_ratio": 0.75,
"model_type": "vit",
"norm_pix_loss": false,
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.39.0.dev0"
}