| { | |
| "_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" | |
| } | |