{ | |
"_name_or_path": "facebook/regnet-y-064", | |
"architectures": [ | |
"RegNetForImageClassification" | |
], | |
"depths": [ | |
2, | |
7, | |
14, | |
2 | |
], | |
"downsample_in_first_stage": true, | |
"embedding_size": 32, | |
"groups_width": 72, | |
"hidden_act": "relu", | |
"hidden_sizes": [ | |
144, | |
288, | |
576, | |
1296 | |
], | |
"id2label": { | |
"0": "glioma_tumor", | |
"1": "meningioma_tumor", | |
"2": "no_tumor", | |
"3": "pituitary_tumor" | |
}, | |
"label2id": { | |
"glioma_tumor": "0", | |
"meningioma_tumor": "1", | |
"no_tumor": "2", | |
"pituitary_tumor": "3" | |
}, | |
"layer_type": "y", | |
"model_type": "regnet", | |
"num_channels": 3, | |
"problem_type": "single_label_classification", | |
"torch_dtype": "float32", | |
"transformers_version": "4.28.1" | |
} | |