| { | |
| "architectures": [ | |
| "ConvNextV2ForImageClassification" | |
| ], | |
| "depths": [ | |
| 3, | |
| 3, | |
| 27, | |
| 3 | |
| ], | |
| "drop_path_rate": 0.0, | |
| "dtype": "float32", | |
| "hidden_act": "gelu", | |
| "hidden_sizes": [ | |
| 192, | |
| 384, | |
| 768, | |
| 1536 | |
| ], | |
| "id2label": { | |
| "0": "combat", | |
| "1": "mission" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "combat": 0, | |
| "mission": 1 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "model_type": "convnextv2", | |
| "num_channels": 3, | |
| "num_stages": 4, | |
| "out_features": [ | |
| "stage4" | |
| ], | |
| "out_indices": [ | |
| 4 | |
| ], | |
| "patch_size": 4, | |
| "stage_names": [ | |
| "stem", | |
| "stage1", | |
| "stage2", | |
| "stage3", | |
| "stage4" | |
| ], | |
| "transformers_version": "5.3.0", | |
| "use_cache": false | |
| } | |